Course Format & Delivery Details Learn at Your Own Pace, Anytime, Anywhere
This self-paced course is designed for working professionals, engineers, and innovators who need flexibility without sacrificing depth or results. From the moment your enrollment is confirmed, you gain secure online access to a meticulously structured learning journey that evolves with the industry. There are no fixed schedules, no deadlines, and no pressure to keep up. You control the pace, the timing, and the intensity of your progress. Immediate Online Access - Start Learning Today
After enrollment, you will receive a confirmation email followed by a separate communication containing your secure access details, issued once the course materials are fully prepared. The entire program is hosted on a trusted, high-performance platform built for global learners. Whether you're in Berlin, Detroit, Seoul, or Bangalore, your learning environment is consistent, fast, and reliable. Designed for Real Results, Fast
Most learners complete the core curriculum in 6 to 8 weeks with dedicated effort of 6 to 8 hours per week. Many report applying key strategies to their projects within the first 10 topics. The structure is optimized so you gain immediate clarity and tactical value from day one, allowing you to demonstrate impact quickly in your role or organization. Lifetime Access + Ongoing Updates at No Extra Cost
Your investment includes indefinite access to all course content. As automotive cybersecurity and AI integration advance, we continuously update the material to reflect emerging threats, regulatory changes, and technological breakthroughs. You will receive these updates automatically, ensuring your knowledge remains future-proof and competitive for years to come. 24/7 Global Access, Fully Mobile-Friendly
Leverage your commute, lunch breaks, or quiet evenings with a platform engineered for seamless use across laptops, tablets, and smartphones. The responsive design ensures readability, navigation, and interaction quality are uncompromised on any device. Learn when it works for you, wherever you are. Direct Instructor Support & Expert Guidance
You’re not learning in isolation. Throughout the course, you’ll have access to structured guidance from certified practitioners with real-world experience in embedded systems, vehicle networks, and AI-driven threat detection. Questions are addressed through curated knowledge pathways and personalized feedback loops that ensure clarity, reduce confusion, and accelerate mastery. Earn a Globally Recognized Certificate of Completion
Upon finishing the program, you will receive a Certificate of Completion issued by The Art of Service. This credential is trusted by professionals in over 140 countries and signals to employers and peers that you have mastered advanced automotive cybersecurity principles integrated with next-generation artificial intelligence. It's a career-advancing asset that validates your expertise and commitment to excellence. Transparent Pricing, No Hidden Fees
The listed price includes everything. There are no additional charges, enrollment fees, or surprise costs. What you see is exactly what you get - full access, lifetime updates, certification, and support, all included in a single straightforward fee. Accepted Payment Methods
We accept major payment options including Visa, Mastercard, and PayPal. Transactions are processed through a PCI-compliant gateway to ensure your data is protected at every step. Zero-Risk Enrollment: 100% Satisfied or Refunded
We stand behind the value of this course with an unconditional satisfaction guarantee. If for any reason you are not satisfied with your learning experience, contact us within 30 days for a full refund. No forms, no hassle, no fine print. Your confidence in this investment is our top priority. Confirmation and Access Workflow
Once you enroll, you will receive an automated confirmation email. Your course access credentials are sent in a follow-up message once your learner profile is activated and the materials are ready for delivery. This ensures a smooth, secure onboarding experience. This Course Works for You - Even If…
You’re not a software engineer. You’ve never worked directly on vehicle ECUs. You’re transitioning from mechanical systems into digital domains. Or you’re a cybersecurity professional unfamiliar with CAN bus protocols. This program is built for transformation, not prerequisites. It starts with first principles and systematically builds your competence using real-world case studies and role-specific applications. For engineering leads, it delivers frameworks to audit and harden connected vehicle architectures. For cybersecurity analysts, it provides specialized detection models for automotive attack surfaces. For product managers, it translates technical risk into strategic decision-making tools. And for compliance officers, it aligns with ISO/SAE 21434, UNECE WP.29, and other critical standards. This works even if you’ve tried other courses and didn’t retain the knowledge. Our approach combines layered learning, contextual application, and progress tracking to ensure deep understanding, not just passive consumption. Reduced Risk, Maximum Confidence
From lifetime access to real-world projects, transparent pricing to global certification, every element of this course is engineered to eliminate friction and maximize your return on time and investment. This isn’t just another training program. It’s a career accelerator built for the next era of intelligent vehicles.
Extensive & Detailed Course Curriculum
Module 1: Foundations of Automotive Cybersecurity - Understanding the evolution of vehicle connectivity and its security implications
- Introduction to ECU architecture and electronic control units in modern vehicles
- Common attack surfaces in infotainment, telematics, and ADAS systems
- Threat modeling using STRIDE applied to automotive systems
- Overview of common cyber threats targeting connected vehicles
- Key differences between IT cybersecurity and automotive-specific threats
- Deep dive into vehicle network protocols, including CAN, LIN, FlexRay, and Ethernet
- Semantic analysis of CAN bus message structures and vulnerabilities
- Understanding OEM supply chain risks and third-party component exposure
- Fundamentals of secure boot processes in embedded systems
- Introduction to over-the-air (OTA) update security risks
- Overview of automotive cybersecurity regulations and global compliance frameworks
- Principles of least privilege and defense-in-depth for vehicle systems
- Mapping NIST CSF to automotive cybersecurity use cases
- Understanding the role of hardware security modules (HSMs) in vehicles
Module 2: Core Cybersecurity Frameworks & Standards - Deep integration of ISO/SAE 21434: Road vehicles - Cybersecurity engineering
- Applying UN R155 and UN R156 regulatory mandates in product development
- Implementing GB/T 40861 in China-compliant vehicle designs
- Mapping NIST IR 8259A to automotive IoT device cybersecurity
- Understanding the TISAX assessment framework and audit readiness
- Integrating GDPR and data privacy in connected vehicle data flows
- Establishing a cybersecurity management system (CSMS) within OEMs
- Defining roles and responsibilities in a vehicle security incident response team
- Creating a cybersecurity culture across engineering and executive teams
- Threat intelligence sharing in automotive ISACs and peer networks
- Developing a cybersecurity concept during the concept phase of vehicle design
- Integrating security requirements into systems engineering workflows
- Conducting risk assessments using attack path analysis
- Documenting cybersecurity cases for certification and audit purposes
- Aligning with Automotive SPICE and security-specific processes
Module 3: Secure Vehicle Network Architectures - Designing zone-based E/E architectures with security boundaries
- Implementing secure gateways between vehicle domains (e.g., powertrain, body, ADAS)
- Hardening CAN FD message prioritization and filtering mechanisms
- Preventing CAN injection attacks through message authentication codes
- Securing LIN bus communications using cyclic redundancy checks and timeout policies
- Building intrusion detection systems (IDS) for in-vehicle networks
- Deploying message authentication using HMAC and CMAC algorithms
- Understanding timing side-channel attacks on real-time vehicle networks
- Implementing secure routing policies in multi-layer vehicle networks
- Using VLANs and network segmentation within Ethernet vehicle backbones
- Integrating IEEE 802.1AE MACsec for secure Ethernet communications
- Reducing network attack surface via service discovery hardening (DoIP, SOME/IP)
- Blocking unauthorized diagnostics using UDS secure sessions
- Securing OTA update delivery via authenticated and encrypted tunnels
- Designing resiliency against DoS attacks on critical network buses
Module 4: ECU-Level Security & Firmware Protection - Securing microcontrollers using memory protection units (MPUs)
- Implementing secure boot with public key validation chains
- Using Trusted Execution Environments (TEEs) in automotive ECUs
- Protecting firmware from reverse engineering using obfuscation techniques
- Hardening flash memory against unauthorized reflashing attacks
- Enabling runtime integrity monitoring of critical software components
- Using white-box cryptography for key storage in non-secure environments
- Securing bootloader unlock mechanisms with multi-factor validation
- Detecting and responding to buffer overflow and stack smashing attempts
- Implementing secure coding practices for AUTOSAR-based systems
- Using static and dynamic analysis tools to detect ECU-level vulnerabilities
- Integrating side-channel attack defenses in cryptographic implementations
- Building secure diagnostics interfaces compliant with ISO 14229
- Managing secure key provisioning in high-volume production lines
- Applying zero-trust principles to inter-ECU communication
Module 5: Over-the-Air (OTA) Update Security - Designing secure update pipelines from cloud to vehicle
- Implementing digital signatures for firmware authenticity verification
- Using hash trees and delta encoding for efficient and secure updates
- Preventing rollback attacks using monotonic counters and version locks
- Securing update triggers against spoofed server commands
- Encrypting OTA payloads to prevent data exfiltration during transit
- Validating package metadata integrity before installation
- Designing fail-safe and fail-operational update rollback mechanisms
- Monitoring update success and anomaly detection during deployment
- Integrating OTA security into CI/CD workflows for software-defined vehicles
- Ensuring secure key lifecycle management for update signing
- Establishing country-specific compliance for data transmission
- Implementing access control for OTA management portals
- Securing update staging servers against supply chain compromise
- Creating audit trails for all OTA transactions and metadata
Module 6: Intrusion Detection & Anomaly Monitoring - Designing signature-based detection rules for known attack patterns
- Building behavioral baselines for normal ECU communication
- Implementing statistical anomaly detection on CAN message frequency
- Using entropy analysis to detect encrypted or scrambled attacks
- Deploying rule engines for real-time threat correlation
- Integrating IDS alerts with vehicle state monitoring systems
- Reducing false positives using context-aware filtering
- Forwarding critical alerts to backend security operations centers
- Using timing deviation detection for covert command injection
- Monitoring diagnostic session transitions for privilege escalation
- Implementing machine learning models for dynamic threat profiling
- Training lightweight models on edge devices within the vehicle
- Using clustering algorithms to identify unknown attack behaviors
- Enabling adaptive threshold tuning based on driving conditions
- Logging and storing IDS events with tamper-resistant storage
Module 7: AI-Driven Threat Intelligence & Behavioral Analytics - Integrating AI models to predict attack likelihood based on fleet data
- Training neural networks on multi-sensor telemetry for anomaly detection
- Using federated learning to preserve privacy while improving vehicle AI
- Implementing deep learning for CAN message sequence pattern recognition
- Building AI-powered correlation engines across geographically distributed fleets
- Reducing model drift with continuous retraining pipelines
- Using natural language processing to analyze vulnerability disclosures
- Automating threat report generation from IDS and SIEM systems
- Creating digital twins for cybersecurity simulation and testing
- Validating AI decisions with explainability frameworks (XAI)
- Securing AI models against adversarial attacks and data poisoning
- Using reinforcement learning to optimize IDS rule sets
- Monitoring model confidence scores to detect environmental shifts
- Deploying edge AI for real-time inference within vehicle networks
- Integrating predictive risk scoring into vehicle health dashboards
Module 8: Cloud & Backend Security for Connected Vehicles - Designing secure API gateways for vehicle-to-cloud communication
- Implementing OAuth 2.0 and OpenID Connect for identity management
- Hardening cloud infrastructure using zero-trust network access (ZTNA)
- Encrypting vehicle data at rest and in transit using AES-256
- Preventing API abuse with rate limiting and quota enforcement
- Securing MQTT brokers used in telematics data pipelines
- Validating JWT tokens issued during vehicle authentication
- Protecting customer data in line with GDPR and CCPA
- Implementing role-based access control (RBAC) for backend systems
- Monitoring cloud logs for suspicious query patterns and access attempts
- Using WAFs to block SQL injection and XSS attacks on web portals
- Securing database backups with automated encryption and retention
- Integrating SIEM systems to correlate vehicle and cloud events
- Creating immutable audit trails using blockchain-inspired ledgers
- Applying security patches to cloud services with zero downtime
Module 9: Penetration Testing & Red Team Exercises - Building a vehicle penetration testing lab using real and simulated ECUs
- Conducting physical access testing on OBD-II ports and USB interfaces
- Executing CAN injection attacks using open-source tools
- Bypassing security checks through fuzz testing on diagnostic services
- Exploiting misconfigured UDS services to extract firmware
- Using logic analyzers to intercept and decode vehicle network traffic
- Simulating relay attacks on keyless entry and start systems
- Testing for insecure Bluetooth and Wi-Fi pairing mechanisms
- Assessing mobile app security for remote vehicle control features
- Identifying vulnerabilities in third-party SDKs used in infotainment
- Documenting findings using standardized reporting templates
- Mapping exploits to MITRE ATT&CK for Automobiles framework
- Conducting red team vs blue team simulations in vehicle environments
- Measuring mean time to detect (MTTD) and respond (MTTR) to attacks
- Providing actionable remediation recommendations to engineering teams
Module 10: Secure Development Lifecycle (SDL) Integration - Integrating cybersecurity into each phase of the V-model
- Conducting threat modeling during system architecture design
- Deriving security requirements from regulatory and business needs
- Implementing secure code reviews using checklists and tools
- Automating vulnerability scanning in CI pipelines
- Using software composition analysis to detect open-source risks
- Managing dependencies with SBOMs (Software Bill of Materials)
- Applying DevSecOps principles to automotive software delivery
- Enforcing secure configuration management across environments
- Training developers on common automotive vulnerabilities (CWEs)
- Creating security test cases for HIL and SIL validation
- Integrating fuzz testing into nightly builds
- Validating memory safety in C/C++ codebases
- Using hardware-in-the-loop (HIL) to simulate attack scenarios
- Conducting final cybersecurity verification before production release
Module 11: Incident Response & Forensics - Establishing a vehicle security incident response plan (VSIRP)
- Defining escalation paths for different severity levels
- Collecting forensic data from ECUs without disrupting vehicle function
- Using non-volatile memory dumps to reconstruct attack timelines
- Preserving chain of custody for legal and regulatory purposes
- Analyzing logs from IDS, gateways, and telematics units
- Detecting persistence mechanisms used by automotive malware
- Blocking command-and-control channels from compromised vehicles
- Issuing emergency security updates during active incidents
- Coordinating with law enforcement and regulatory bodies
- Communicating with customers during a security breach
- Conducting post-incident reviews and lessons learned
- Updating threat models based on new attack intelligence
- Improving resilience through architectural changes
- Building a knowledge base of past incidents for team training
Module 12: AI & Machine Learning Security for Autonomous Systems - Securing sensor data inputs to AI perception systems
- Protecting against adversarial examples in vision and radar models
- Validating neural network inputs using plausibility checks
- Monitoring model inference times for timing-based attacks
- Implementing model watermarking to detect IP theft
- Hardening training data pipelines against poisoning attacks
- Using differential privacy to protect training datasets
- Ensuring model integrity with cryptographic hashing
- Creating fallback mechanisms for compromised AI decisions
- Integrating safety and security monitors in autonomous driving stacks
- Validating AI behavior under edge-case scenarios
- Monitoring for model bias and drift in real-world conditions
- Securing model updates delivered via OTA to edge devices
- Using homomorphic encryption to enable secure inference
- Applying split learning to keep sensitive data on the vehicle
Module 13: Supply Chain & Third-Party Risk Management - Assessing cybersecurity maturity of Tier 1 and Tier 2 suppliers
- Requiring evidence of ISO/SAE 21434 compliance from vendors
- Conducting security audits of third-party software components
- Validating SBOMs provided by suppliers for completeness
- Implementing contractual cybersecurity clauses in procurement
- Monitoring for vulnerabilities in open-source libraries used by suppliers
- Conducting penetration testing on third-party ECUs before integration
- Enforcing secure firmware update processes across supply chain
- Establishing communication channels for vulnerability disclosure
- Managing coordinated vulnerability disclosure timelines
- Requiring multi-party code signing for distributed components
- Securing build environments used by external partners
- Validating hardware authenticity using PUFs and root of trust
- Tracking component provenance from factory to vehicle installation
- Creating fallback plans for compromised third-party services
Module 14: Certification, Compliance & Audit Readiness - Preparing documentation for ISO/SAE 21434 certification audits
- Creating a cybersecurity case with hazard and risk analysis
- Documenting threat scenarios and mitigation strategies
- Compiling evidence of secure development practices
- Generating cybersecurity design and implementation reports
- Organizing cybersecurity requirements traceability matrices
- Conducting internal gap assessments before formal audits
- Responding to auditor findings and corrective action requests
- Maintaining up-to-date records of all security activities
- Aligning with TISAX audit requirements for data protection
- Preparing for UNECE WP.29 type approval processes
- Submitting technical documentation to regulatory bodies
- Conducting periodic reassessment of cybersecurity management system
- Training staff on audit procedures and documentation standards
- Integrating continuous monitoring to sustain compliance
Module 15: Capstone Projects & Real-World Application - Analyzing a real-world automotive cyberattack case study in depth
- Designing a secure E/E architecture for a next-generation EV
- Developing a threat model for a connected car platform
- Creating a CSMS for a fictional OEM with global operations
- Simulating an OTA update attack and designing countermeasures
- Building an intrusion detection rule set for CAN traffic anomalies
- Implementing a secure boot verification process for an ECU
- Designing a red team exercise for a vehicle’s infotainment system
- Writing a full cybersecurity report compliant with ISO 21434
- Developing a software bill of materials (SBOM) for a telematics unit
- Creating a vulnerability disclosure policy for a Tier 1 supplier
- Mapping attack paths using the MITRE Automotive ATT&CK framework
- Building a risk register with likelihood and impact scores
- Designing a security-aware HMI to alert drivers of cyber incidents
- Linking all project outcomes to the Certificate of Completion requirements
Module 1: Foundations of Automotive Cybersecurity - Understanding the evolution of vehicle connectivity and its security implications
- Introduction to ECU architecture and electronic control units in modern vehicles
- Common attack surfaces in infotainment, telematics, and ADAS systems
- Threat modeling using STRIDE applied to automotive systems
- Overview of common cyber threats targeting connected vehicles
- Key differences between IT cybersecurity and automotive-specific threats
- Deep dive into vehicle network protocols, including CAN, LIN, FlexRay, and Ethernet
- Semantic analysis of CAN bus message structures and vulnerabilities
- Understanding OEM supply chain risks and third-party component exposure
- Fundamentals of secure boot processes in embedded systems
- Introduction to over-the-air (OTA) update security risks
- Overview of automotive cybersecurity regulations and global compliance frameworks
- Principles of least privilege and defense-in-depth for vehicle systems
- Mapping NIST CSF to automotive cybersecurity use cases
- Understanding the role of hardware security modules (HSMs) in vehicles
Module 2: Core Cybersecurity Frameworks & Standards - Deep integration of ISO/SAE 21434: Road vehicles - Cybersecurity engineering
- Applying UN R155 and UN R156 regulatory mandates in product development
- Implementing GB/T 40861 in China-compliant vehicle designs
- Mapping NIST IR 8259A to automotive IoT device cybersecurity
- Understanding the TISAX assessment framework and audit readiness
- Integrating GDPR and data privacy in connected vehicle data flows
- Establishing a cybersecurity management system (CSMS) within OEMs
- Defining roles and responsibilities in a vehicle security incident response team
- Creating a cybersecurity culture across engineering and executive teams
- Threat intelligence sharing in automotive ISACs and peer networks
- Developing a cybersecurity concept during the concept phase of vehicle design
- Integrating security requirements into systems engineering workflows
- Conducting risk assessments using attack path analysis
- Documenting cybersecurity cases for certification and audit purposes
- Aligning with Automotive SPICE and security-specific processes
Module 3: Secure Vehicle Network Architectures - Designing zone-based E/E architectures with security boundaries
- Implementing secure gateways between vehicle domains (e.g., powertrain, body, ADAS)
- Hardening CAN FD message prioritization and filtering mechanisms
- Preventing CAN injection attacks through message authentication codes
- Securing LIN bus communications using cyclic redundancy checks and timeout policies
- Building intrusion detection systems (IDS) for in-vehicle networks
- Deploying message authentication using HMAC and CMAC algorithms
- Understanding timing side-channel attacks on real-time vehicle networks
- Implementing secure routing policies in multi-layer vehicle networks
- Using VLANs and network segmentation within Ethernet vehicle backbones
- Integrating IEEE 802.1AE MACsec for secure Ethernet communications
- Reducing network attack surface via service discovery hardening (DoIP, SOME/IP)
- Blocking unauthorized diagnostics using UDS secure sessions
- Securing OTA update delivery via authenticated and encrypted tunnels
- Designing resiliency against DoS attacks on critical network buses
Module 4: ECU-Level Security & Firmware Protection - Securing microcontrollers using memory protection units (MPUs)
- Implementing secure boot with public key validation chains
- Using Trusted Execution Environments (TEEs) in automotive ECUs
- Protecting firmware from reverse engineering using obfuscation techniques
- Hardening flash memory against unauthorized reflashing attacks
- Enabling runtime integrity monitoring of critical software components
- Using white-box cryptography for key storage in non-secure environments
- Securing bootloader unlock mechanisms with multi-factor validation
- Detecting and responding to buffer overflow and stack smashing attempts
- Implementing secure coding practices for AUTOSAR-based systems
- Using static and dynamic analysis tools to detect ECU-level vulnerabilities
- Integrating side-channel attack defenses in cryptographic implementations
- Building secure diagnostics interfaces compliant with ISO 14229
- Managing secure key provisioning in high-volume production lines
- Applying zero-trust principles to inter-ECU communication
Module 5: Over-the-Air (OTA) Update Security - Designing secure update pipelines from cloud to vehicle
- Implementing digital signatures for firmware authenticity verification
- Using hash trees and delta encoding for efficient and secure updates
- Preventing rollback attacks using monotonic counters and version locks
- Securing update triggers against spoofed server commands
- Encrypting OTA payloads to prevent data exfiltration during transit
- Validating package metadata integrity before installation
- Designing fail-safe and fail-operational update rollback mechanisms
- Monitoring update success and anomaly detection during deployment
- Integrating OTA security into CI/CD workflows for software-defined vehicles
- Ensuring secure key lifecycle management for update signing
- Establishing country-specific compliance for data transmission
- Implementing access control for OTA management portals
- Securing update staging servers against supply chain compromise
- Creating audit trails for all OTA transactions and metadata
Module 6: Intrusion Detection & Anomaly Monitoring - Designing signature-based detection rules for known attack patterns
- Building behavioral baselines for normal ECU communication
- Implementing statistical anomaly detection on CAN message frequency
- Using entropy analysis to detect encrypted or scrambled attacks
- Deploying rule engines for real-time threat correlation
- Integrating IDS alerts with vehicle state monitoring systems
- Reducing false positives using context-aware filtering
- Forwarding critical alerts to backend security operations centers
- Using timing deviation detection for covert command injection
- Monitoring diagnostic session transitions for privilege escalation
- Implementing machine learning models for dynamic threat profiling
- Training lightweight models on edge devices within the vehicle
- Using clustering algorithms to identify unknown attack behaviors
- Enabling adaptive threshold tuning based on driving conditions
- Logging and storing IDS events with tamper-resistant storage
Module 7: AI-Driven Threat Intelligence & Behavioral Analytics - Integrating AI models to predict attack likelihood based on fleet data
- Training neural networks on multi-sensor telemetry for anomaly detection
- Using federated learning to preserve privacy while improving vehicle AI
- Implementing deep learning for CAN message sequence pattern recognition
- Building AI-powered correlation engines across geographically distributed fleets
- Reducing model drift with continuous retraining pipelines
- Using natural language processing to analyze vulnerability disclosures
- Automating threat report generation from IDS and SIEM systems
- Creating digital twins for cybersecurity simulation and testing
- Validating AI decisions with explainability frameworks (XAI)
- Securing AI models against adversarial attacks and data poisoning
- Using reinforcement learning to optimize IDS rule sets
- Monitoring model confidence scores to detect environmental shifts
- Deploying edge AI for real-time inference within vehicle networks
- Integrating predictive risk scoring into vehicle health dashboards
Module 8: Cloud & Backend Security for Connected Vehicles - Designing secure API gateways for vehicle-to-cloud communication
- Implementing OAuth 2.0 and OpenID Connect for identity management
- Hardening cloud infrastructure using zero-trust network access (ZTNA)
- Encrypting vehicle data at rest and in transit using AES-256
- Preventing API abuse with rate limiting and quota enforcement
- Securing MQTT brokers used in telematics data pipelines
- Validating JWT tokens issued during vehicle authentication
- Protecting customer data in line with GDPR and CCPA
- Implementing role-based access control (RBAC) for backend systems
- Monitoring cloud logs for suspicious query patterns and access attempts
- Using WAFs to block SQL injection and XSS attacks on web portals
- Securing database backups with automated encryption and retention
- Integrating SIEM systems to correlate vehicle and cloud events
- Creating immutable audit trails using blockchain-inspired ledgers
- Applying security patches to cloud services with zero downtime
Module 9: Penetration Testing & Red Team Exercises - Building a vehicle penetration testing lab using real and simulated ECUs
- Conducting physical access testing on OBD-II ports and USB interfaces
- Executing CAN injection attacks using open-source tools
- Bypassing security checks through fuzz testing on diagnostic services
- Exploiting misconfigured UDS services to extract firmware
- Using logic analyzers to intercept and decode vehicle network traffic
- Simulating relay attacks on keyless entry and start systems
- Testing for insecure Bluetooth and Wi-Fi pairing mechanisms
- Assessing mobile app security for remote vehicle control features
- Identifying vulnerabilities in third-party SDKs used in infotainment
- Documenting findings using standardized reporting templates
- Mapping exploits to MITRE ATT&CK for Automobiles framework
- Conducting red team vs blue team simulations in vehicle environments
- Measuring mean time to detect (MTTD) and respond (MTTR) to attacks
- Providing actionable remediation recommendations to engineering teams
Module 10: Secure Development Lifecycle (SDL) Integration - Integrating cybersecurity into each phase of the V-model
- Conducting threat modeling during system architecture design
- Deriving security requirements from regulatory and business needs
- Implementing secure code reviews using checklists and tools
- Automating vulnerability scanning in CI pipelines
- Using software composition analysis to detect open-source risks
- Managing dependencies with SBOMs (Software Bill of Materials)
- Applying DevSecOps principles to automotive software delivery
- Enforcing secure configuration management across environments
- Training developers on common automotive vulnerabilities (CWEs)
- Creating security test cases for HIL and SIL validation
- Integrating fuzz testing into nightly builds
- Validating memory safety in C/C++ codebases
- Using hardware-in-the-loop (HIL) to simulate attack scenarios
- Conducting final cybersecurity verification before production release
Module 11: Incident Response & Forensics - Establishing a vehicle security incident response plan (VSIRP)
- Defining escalation paths for different severity levels
- Collecting forensic data from ECUs without disrupting vehicle function
- Using non-volatile memory dumps to reconstruct attack timelines
- Preserving chain of custody for legal and regulatory purposes
- Analyzing logs from IDS, gateways, and telematics units
- Detecting persistence mechanisms used by automotive malware
- Blocking command-and-control channels from compromised vehicles
- Issuing emergency security updates during active incidents
- Coordinating with law enforcement and regulatory bodies
- Communicating with customers during a security breach
- Conducting post-incident reviews and lessons learned
- Updating threat models based on new attack intelligence
- Improving resilience through architectural changes
- Building a knowledge base of past incidents for team training
Module 12: AI & Machine Learning Security for Autonomous Systems - Securing sensor data inputs to AI perception systems
- Protecting against adversarial examples in vision and radar models
- Validating neural network inputs using plausibility checks
- Monitoring model inference times for timing-based attacks
- Implementing model watermarking to detect IP theft
- Hardening training data pipelines against poisoning attacks
- Using differential privacy to protect training datasets
- Ensuring model integrity with cryptographic hashing
- Creating fallback mechanisms for compromised AI decisions
- Integrating safety and security monitors in autonomous driving stacks
- Validating AI behavior under edge-case scenarios
- Monitoring for model bias and drift in real-world conditions
- Securing model updates delivered via OTA to edge devices
- Using homomorphic encryption to enable secure inference
- Applying split learning to keep sensitive data on the vehicle
Module 13: Supply Chain & Third-Party Risk Management - Assessing cybersecurity maturity of Tier 1 and Tier 2 suppliers
- Requiring evidence of ISO/SAE 21434 compliance from vendors
- Conducting security audits of third-party software components
- Validating SBOMs provided by suppliers for completeness
- Implementing contractual cybersecurity clauses in procurement
- Monitoring for vulnerabilities in open-source libraries used by suppliers
- Conducting penetration testing on third-party ECUs before integration
- Enforcing secure firmware update processes across supply chain
- Establishing communication channels for vulnerability disclosure
- Managing coordinated vulnerability disclosure timelines
- Requiring multi-party code signing for distributed components
- Securing build environments used by external partners
- Validating hardware authenticity using PUFs and root of trust
- Tracking component provenance from factory to vehicle installation
- Creating fallback plans for compromised third-party services
Module 14: Certification, Compliance & Audit Readiness - Preparing documentation for ISO/SAE 21434 certification audits
- Creating a cybersecurity case with hazard and risk analysis
- Documenting threat scenarios and mitigation strategies
- Compiling evidence of secure development practices
- Generating cybersecurity design and implementation reports
- Organizing cybersecurity requirements traceability matrices
- Conducting internal gap assessments before formal audits
- Responding to auditor findings and corrective action requests
- Maintaining up-to-date records of all security activities
- Aligning with TISAX audit requirements for data protection
- Preparing for UNECE WP.29 type approval processes
- Submitting technical documentation to regulatory bodies
- Conducting periodic reassessment of cybersecurity management system
- Training staff on audit procedures and documentation standards
- Integrating continuous monitoring to sustain compliance
Module 15: Capstone Projects & Real-World Application - Analyzing a real-world automotive cyberattack case study in depth
- Designing a secure E/E architecture for a next-generation EV
- Developing a threat model for a connected car platform
- Creating a CSMS for a fictional OEM with global operations
- Simulating an OTA update attack and designing countermeasures
- Building an intrusion detection rule set for CAN traffic anomalies
- Implementing a secure boot verification process for an ECU
- Designing a red team exercise for a vehicle’s infotainment system
- Writing a full cybersecurity report compliant with ISO 21434
- Developing a software bill of materials (SBOM) for a telematics unit
- Creating a vulnerability disclosure policy for a Tier 1 supplier
- Mapping attack paths using the MITRE Automotive ATT&CK framework
- Building a risk register with likelihood and impact scores
- Designing a security-aware HMI to alert drivers of cyber incidents
- Linking all project outcomes to the Certificate of Completion requirements
- Deep integration of ISO/SAE 21434: Road vehicles - Cybersecurity engineering
- Applying UN R155 and UN R156 regulatory mandates in product development
- Implementing GB/T 40861 in China-compliant vehicle designs
- Mapping NIST IR 8259A to automotive IoT device cybersecurity
- Understanding the TISAX assessment framework and audit readiness
- Integrating GDPR and data privacy in connected vehicle data flows
- Establishing a cybersecurity management system (CSMS) within OEMs
- Defining roles and responsibilities in a vehicle security incident response team
- Creating a cybersecurity culture across engineering and executive teams
- Threat intelligence sharing in automotive ISACs and peer networks
- Developing a cybersecurity concept during the concept phase of vehicle design
- Integrating security requirements into systems engineering workflows
- Conducting risk assessments using attack path analysis
- Documenting cybersecurity cases for certification and audit purposes
- Aligning with Automotive SPICE and security-specific processes
Module 3: Secure Vehicle Network Architectures - Designing zone-based E/E architectures with security boundaries
- Implementing secure gateways between vehicle domains (e.g., powertrain, body, ADAS)
- Hardening CAN FD message prioritization and filtering mechanisms
- Preventing CAN injection attacks through message authentication codes
- Securing LIN bus communications using cyclic redundancy checks and timeout policies
- Building intrusion detection systems (IDS) for in-vehicle networks
- Deploying message authentication using HMAC and CMAC algorithms
- Understanding timing side-channel attacks on real-time vehicle networks
- Implementing secure routing policies in multi-layer vehicle networks
- Using VLANs and network segmentation within Ethernet vehicle backbones
- Integrating IEEE 802.1AE MACsec for secure Ethernet communications
- Reducing network attack surface via service discovery hardening (DoIP, SOME/IP)
- Blocking unauthorized diagnostics using UDS secure sessions
- Securing OTA update delivery via authenticated and encrypted tunnels
- Designing resiliency against DoS attacks on critical network buses
Module 4: ECU-Level Security & Firmware Protection - Securing microcontrollers using memory protection units (MPUs)
- Implementing secure boot with public key validation chains
- Using Trusted Execution Environments (TEEs) in automotive ECUs
- Protecting firmware from reverse engineering using obfuscation techniques
- Hardening flash memory against unauthorized reflashing attacks
- Enabling runtime integrity monitoring of critical software components
- Using white-box cryptography for key storage in non-secure environments
- Securing bootloader unlock mechanisms with multi-factor validation
- Detecting and responding to buffer overflow and stack smashing attempts
- Implementing secure coding practices for AUTOSAR-based systems
- Using static and dynamic analysis tools to detect ECU-level vulnerabilities
- Integrating side-channel attack defenses in cryptographic implementations
- Building secure diagnostics interfaces compliant with ISO 14229
- Managing secure key provisioning in high-volume production lines
- Applying zero-trust principles to inter-ECU communication
Module 5: Over-the-Air (OTA) Update Security - Designing secure update pipelines from cloud to vehicle
- Implementing digital signatures for firmware authenticity verification
- Using hash trees and delta encoding for efficient and secure updates
- Preventing rollback attacks using monotonic counters and version locks
- Securing update triggers against spoofed server commands
- Encrypting OTA payloads to prevent data exfiltration during transit
- Validating package metadata integrity before installation
- Designing fail-safe and fail-operational update rollback mechanisms
- Monitoring update success and anomaly detection during deployment
- Integrating OTA security into CI/CD workflows for software-defined vehicles
- Ensuring secure key lifecycle management for update signing
- Establishing country-specific compliance for data transmission
- Implementing access control for OTA management portals
- Securing update staging servers against supply chain compromise
- Creating audit trails for all OTA transactions and metadata
Module 6: Intrusion Detection & Anomaly Monitoring - Designing signature-based detection rules for known attack patterns
- Building behavioral baselines for normal ECU communication
- Implementing statistical anomaly detection on CAN message frequency
- Using entropy analysis to detect encrypted or scrambled attacks
- Deploying rule engines for real-time threat correlation
- Integrating IDS alerts with vehicle state monitoring systems
- Reducing false positives using context-aware filtering
- Forwarding critical alerts to backend security operations centers
- Using timing deviation detection for covert command injection
- Monitoring diagnostic session transitions for privilege escalation
- Implementing machine learning models for dynamic threat profiling
- Training lightweight models on edge devices within the vehicle
- Using clustering algorithms to identify unknown attack behaviors
- Enabling adaptive threshold tuning based on driving conditions
- Logging and storing IDS events with tamper-resistant storage
Module 7: AI-Driven Threat Intelligence & Behavioral Analytics - Integrating AI models to predict attack likelihood based on fleet data
- Training neural networks on multi-sensor telemetry for anomaly detection
- Using federated learning to preserve privacy while improving vehicle AI
- Implementing deep learning for CAN message sequence pattern recognition
- Building AI-powered correlation engines across geographically distributed fleets
- Reducing model drift with continuous retraining pipelines
- Using natural language processing to analyze vulnerability disclosures
- Automating threat report generation from IDS and SIEM systems
- Creating digital twins for cybersecurity simulation and testing
- Validating AI decisions with explainability frameworks (XAI)
- Securing AI models against adversarial attacks and data poisoning
- Using reinforcement learning to optimize IDS rule sets
- Monitoring model confidence scores to detect environmental shifts
- Deploying edge AI for real-time inference within vehicle networks
- Integrating predictive risk scoring into vehicle health dashboards
Module 8: Cloud & Backend Security for Connected Vehicles - Designing secure API gateways for vehicle-to-cloud communication
- Implementing OAuth 2.0 and OpenID Connect for identity management
- Hardening cloud infrastructure using zero-trust network access (ZTNA)
- Encrypting vehicle data at rest and in transit using AES-256
- Preventing API abuse with rate limiting and quota enforcement
- Securing MQTT brokers used in telematics data pipelines
- Validating JWT tokens issued during vehicle authentication
- Protecting customer data in line with GDPR and CCPA
- Implementing role-based access control (RBAC) for backend systems
- Monitoring cloud logs for suspicious query patterns and access attempts
- Using WAFs to block SQL injection and XSS attacks on web portals
- Securing database backups with automated encryption and retention
- Integrating SIEM systems to correlate vehicle and cloud events
- Creating immutable audit trails using blockchain-inspired ledgers
- Applying security patches to cloud services with zero downtime
Module 9: Penetration Testing & Red Team Exercises - Building a vehicle penetration testing lab using real and simulated ECUs
- Conducting physical access testing on OBD-II ports and USB interfaces
- Executing CAN injection attacks using open-source tools
- Bypassing security checks through fuzz testing on diagnostic services
- Exploiting misconfigured UDS services to extract firmware
- Using logic analyzers to intercept and decode vehicle network traffic
- Simulating relay attacks on keyless entry and start systems
- Testing for insecure Bluetooth and Wi-Fi pairing mechanisms
- Assessing mobile app security for remote vehicle control features
- Identifying vulnerabilities in third-party SDKs used in infotainment
- Documenting findings using standardized reporting templates
- Mapping exploits to MITRE ATT&CK for Automobiles framework
- Conducting red team vs blue team simulations in vehicle environments
- Measuring mean time to detect (MTTD) and respond (MTTR) to attacks
- Providing actionable remediation recommendations to engineering teams
Module 10: Secure Development Lifecycle (SDL) Integration - Integrating cybersecurity into each phase of the V-model
- Conducting threat modeling during system architecture design
- Deriving security requirements from regulatory and business needs
- Implementing secure code reviews using checklists and tools
- Automating vulnerability scanning in CI pipelines
- Using software composition analysis to detect open-source risks
- Managing dependencies with SBOMs (Software Bill of Materials)
- Applying DevSecOps principles to automotive software delivery
- Enforcing secure configuration management across environments
- Training developers on common automotive vulnerabilities (CWEs)
- Creating security test cases for HIL and SIL validation
- Integrating fuzz testing into nightly builds
- Validating memory safety in C/C++ codebases
- Using hardware-in-the-loop (HIL) to simulate attack scenarios
- Conducting final cybersecurity verification before production release
Module 11: Incident Response & Forensics - Establishing a vehicle security incident response plan (VSIRP)
- Defining escalation paths for different severity levels
- Collecting forensic data from ECUs without disrupting vehicle function
- Using non-volatile memory dumps to reconstruct attack timelines
- Preserving chain of custody for legal and regulatory purposes
- Analyzing logs from IDS, gateways, and telematics units
- Detecting persistence mechanisms used by automotive malware
- Blocking command-and-control channels from compromised vehicles
- Issuing emergency security updates during active incidents
- Coordinating with law enforcement and regulatory bodies
- Communicating with customers during a security breach
- Conducting post-incident reviews and lessons learned
- Updating threat models based on new attack intelligence
- Improving resilience through architectural changes
- Building a knowledge base of past incidents for team training
Module 12: AI & Machine Learning Security for Autonomous Systems - Securing sensor data inputs to AI perception systems
- Protecting against adversarial examples in vision and radar models
- Validating neural network inputs using plausibility checks
- Monitoring model inference times for timing-based attacks
- Implementing model watermarking to detect IP theft
- Hardening training data pipelines against poisoning attacks
- Using differential privacy to protect training datasets
- Ensuring model integrity with cryptographic hashing
- Creating fallback mechanisms for compromised AI decisions
- Integrating safety and security monitors in autonomous driving stacks
- Validating AI behavior under edge-case scenarios
- Monitoring for model bias and drift in real-world conditions
- Securing model updates delivered via OTA to edge devices
- Using homomorphic encryption to enable secure inference
- Applying split learning to keep sensitive data on the vehicle
Module 13: Supply Chain & Third-Party Risk Management - Assessing cybersecurity maturity of Tier 1 and Tier 2 suppliers
- Requiring evidence of ISO/SAE 21434 compliance from vendors
- Conducting security audits of third-party software components
- Validating SBOMs provided by suppliers for completeness
- Implementing contractual cybersecurity clauses in procurement
- Monitoring for vulnerabilities in open-source libraries used by suppliers
- Conducting penetration testing on third-party ECUs before integration
- Enforcing secure firmware update processes across supply chain
- Establishing communication channels for vulnerability disclosure
- Managing coordinated vulnerability disclosure timelines
- Requiring multi-party code signing for distributed components
- Securing build environments used by external partners
- Validating hardware authenticity using PUFs and root of trust
- Tracking component provenance from factory to vehicle installation
- Creating fallback plans for compromised third-party services
Module 14: Certification, Compliance & Audit Readiness - Preparing documentation for ISO/SAE 21434 certification audits
- Creating a cybersecurity case with hazard and risk analysis
- Documenting threat scenarios and mitigation strategies
- Compiling evidence of secure development practices
- Generating cybersecurity design and implementation reports
- Organizing cybersecurity requirements traceability matrices
- Conducting internal gap assessments before formal audits
- Responding to auditor findings and corrective action requests
- Maintaining up-to-date records of all security activities
- Aligning with TISAX audit requirements for data protection
- Preparing for UNECE WP.29 type approval processes
- Submitting technical documentation to regulatory bodies
- Conducting periodic reassessment of cybersecurity management system
- Training staff on audit procedures and documentation standards
- Integrating continuous monitoring to sustain compliance
Module 15: Capstone Projects & Real-World Application - Analyzing a real-world automotive cyberattack case study in depth
- Designing a secure E/E architecture for a next-generation EV
- Developing a threat model for a connected car platform
- Creating a CSMS for a fictional OEM with global operations
- Simulating an OTA update attack and designing countermeasures
- Building an intrusion detection rule set for CAN traffic anomalies
- Implementing a secure boot verification process for an ECU
- Designing a red team exercise for a vehicle’s infotainment system
- Writing a full cybersecurity report compliant with ISO 21434
- Developing a software bill of materials (SBOM) for a telematics unit
- Creating a vulnerability disclosure policy for a Tier 1 supplier
- Mapping attack paths using the MITRE Automotive ATT&CK framework
- Building a risk register with likelihood and impact scores
- Designing a security-aware HMI to alert drivers of cyber incidents
- Linking all project outcomes to the Certificate of Completion requirements
- Securing microcontrollers using memory protection units (MPUs)
- Implementing secure boot with public key validation chains
- Using Trusted Execution Environments (TEEs) in automotive ECUs
- Protecting firmware from reverse engineering using obfuscation techniques
- Hardening flash memory against unauthorized reflashing attacks
- Enabling runtime integrity monitoring of critical software components
- Using white-box cryptography for key storage in non-secure environments
- Securing bootloader unlock mechanisms with multi-factor validation
- Detecting and responding to buffer overflow and stack smashing attempts
- Implementing secure coding practices for AUTOSAR-based systems
- Using static and dynamic analysis tools to detect ECU-level vulnerabilities
- Integrating side-channel attack defenses in cryptographic implementations
- Building secure diagnostics interfaces compliant with ISO 14229
- Managing secure key provisioning in high-volume production lines
- Applying zero-trust principles to inter-ECU communication
Module 5: Over-the-Air (OTA) Update Security - Designing secure update pipelines from cloud to vehicle
- Implementing digital signatures for firmware authenticity verification
- Using hash trees and delta encoding for efficient and secure updates
- Preventing rollback attacks using monotonic counters and version locks
- Securing update triggers against spoofed server commands
- Encrypting OTA payloads to prevent data exfiltration during transit
- Validating package metadata integrity before installation
- Designing fail-safe and fail-operational update rollback mechanisms
- Monitoring update success and anomaly detection during deployment
- Integrating OTA security into CI/CD workflows for software-defined vehicles
- Ensuring secure key lifecycle management for update signing
- Establishing country-specific compliance for data transmission
- Implementing access control for OTA management portals
- Securing update staging servers against supply chain compromise
- Creating audit trails for all OTA transactions and metadata
Module 6: Intrusion Detection & Anomaly Monitoring - Designing signature-based detection rules for known attack patterns
- Building behavioral baselines for normal ECU communication
- Implementing statistical anomaly detection on CAN message frequency
- Using entropy analysis to detect encrypted or scrambled attacks
- Deploying rule engines for real-time threat correlation
- Integrating IDS alerts with vehicle state monitoring systems
- Reducing false positives using context-aware filtering
- Forwarding critical alerts to backend security operations centers
- Using timing deviation detection for covert command injection
- Monitoring diagnostic session transitions for privilege escalation
- Implementing machine learning models for dynamic threat profiling
- Training lightweight models on edge devices within the vehicle
- Using clustering algorithms to identify unknown attack behaviors
- Enabling adaptive threshold tuning based on driving conditions
- Logging and storing IDS events with tamper-resistant storage
Module 7: AI-Driven Threat Intelligence & Behavioral Analytics - Integrating AI models to predict attack likelihood based on fleet data
- Training neural networks on multi-sensor telemetry for anomaly detection
- Using federated learning to preserve privacy while improving vehicle AI
- Implementing deep learning for CAN message sequence pattern recognition
- Building AI-powered correlation engines across geographically distributed fleets
- Reducing model drift with continuous retraining pipelines
- Using natural language processing to analyze vulnerability disclosures
- Automating threat report generation from IDS and SIEM systems
- Creating digital twins for cybersecurity simulation and testing
- Validating AI decisions with explainability frameworks (XAI)
- Securing AI models against adversarial attacks and data poisoning
- Using reinforcement learning to optimize IDS rule sets
- Monitoring model confidence scores to detect environmental shifts
- Deploying edge AI for real-time inference within vehicle networks
- Integrating predictive risk scoring into vehicle health dashboards
Module 8: Cloud & Backend Security for Connected Vehicles - Designing secure API gateways for vehicle-to-cloud communication
- Implementing OAuth 2.0 and OpenID Connect for identity management
- Hardening cloud infrastructure using zero-trust network access (ZTNA)
- Encrypting vehicle data at rest and in transit using AES-256
- Preventing API abuse with rate limiting and quota enforcement
- Securing MQTT brokers used in telematics data pipelines
- Validating JWT tokens issued during vehicle authentication
- Protecting customer data in line with GDPR and CCPA
- Implementing role-based access control (RBAC) for backend systems
- Monitoring cloud logs for suspicious query patterns and access attempts
- Using WAFs to block SQL injection and XSS attacks on web portals
- Securing database backups with automated encryption and retention
- Integrating SIEM systems to correlate vehicle and cloud events
- Creating immutable audit trails using blockchain-inspired ledgers
- Applying security patches to cloud services with zero downtime
Module 9: Penetration Testing & Red Team Exercises - Building a vehicle penetration testing lab using real and simulated ECUs
- Conducting physical access testing on OBD-II ports and USB interfaces
- Executing CAN injection attacks using open-source tools
- Bypassing security checks through fuzz testing on diagnostic services
- Exploiting misconfigured UDS services to extract firmware
- Using logic analyzers to intercept and decode vehicle network traffic
- Simulating relay attacks on keyless entry and start systems
- Testing for insecure Bluetooth and Wi-Fi pairing mechanisms
- Assessing mobile app security for remote vehicle control features
- Identifying vulnerabilities in third-party SDKs used in infotainment
- Documenting findings using standardized reporting templates
- Mapping exploits to MITRE ATT&CK for Automobiles framework
- Conducting red team vs blue team simulations in vehicle environments
- Measuring mean time to detect (MTTD) and respond (MTTR) to attacks
- Providing actionable remediation recommendations to engineering teams
Module 10: Secure Development Lifecycle (SDL) Integration - Integrating cybersecurity into each phase of the V-model
- Conducting threat modeling during system architecture design
- Deriving security requirements from regulatory and business needs
- Implementing secure code reviews using checklists and tools
- Automating vulnerability scanning in CI pipelines
- Using software composition analysis to detect open-source risks
- Managing dependencies with SBOMs (Software Bill of Materials)
- Applying DevSecOps principles to automotive software delivery
- Enforcing secure configuration management across environments
- Training developers on common automotive vulnerabilities (CWEs)
- Creating security test cases for HIL and SIL validation
- Integrating fuzz testing into nightly builds
- Validating memory safety in C/C++ codebases
- Using hardware-in-the-loop (HIL) to simulate attack scenarios
- Conducting final cybersecurity verification before production release
Module 11: Incident Response & Forensics - Establishing a vehicle security incident response plan (VSIRP)
- Defining escalation paths for different severity levels
- Collecting forensic data from ECUs without disrupting vehicle function
- Using non-volatile memory dumps to reconstruct attack timelines
- Preserving chain of custody for legal and regulatory purposes
- Analyzing logs from IDS, gateways, and telematics units
- Detecting persistence mechanisms used by automotive malware
- Blocking command-and-control channels from compromised vehicles
- Issuing emergency security updates during active incidents
- Coordinating with law enforcement and regulatory bodies
- Communicating with customers during a security breach
- Conducting post-incident reviews and lessons learned
- Updating threat models based on new attack intelligence
- Improving resilience through architectural changes
- Building a knowledge base of past incidents for team training
Module 12: AI & Machine Learning Security for Autonomous Systems - Securing sensor data inputs to AI perception systems
- Protecting against adversarial examples in vision and radar models
- Validating neural network inputs using plausibility checks
- Monitoring model inference times for timing-based attacks
- Implementing model watermarking to detect IP theft
- Hardening training data pipelines against poisoning attacks
- Using differential privacy to protect training datasets
- Ensuring model integrity with cryptographic hashing
- Creating fallback mechanisms for compromised AI decisions
- Integrating safety and security monitors in autonomous driving stacks
- Validating AI behavior under edge-case scenarios
- Monitoring for model bias and drift in real-world conditions
- Securing model updates delivered via OTA to edge devices
- Using homomorphic encryption to enable secure inference
- Applying split learning to keep sensitive data on the vehicle
Module 13: Supply Chain & Third-Party Risk Management - Assessing cybersecurity maturity of Tier 1 and Tier 2 suppliers
- Requiring evidence of ISO/SAE 21434 compliance from vendors
- Conducting security audits of third-party software components
- Validating SBOMs provided by suppliers for completeness
- Implementing contractual cybersecurity clauses in procurement
- Monitoring for vulnerabilities in open-source libraries used by suppliers
- Conducting penetration testing on third-party ECUs before integration
- Enforcing secure firmware update processes across supply chain
- Establishing communication channels for vulnerability disclosure
- Managing coordinated vulnerability disclosure timelines
- Requiring multi-party code signing for distributed components
- Securing build environments used by external partners
- Validating hardware authenticity using PUFs and root of trust
- Tracking component provenance from factory to vehicle installation
- Creating fallback plans for compromised third-party services
Module 14: Certification, Compliance & Audit Readiness - Preparing documentation for ISO/SAE 21434 certification audits
- Creating a cybersecurity case with hazard and risk analysis
- Documenting threat scenarios and mitigation strategies
- Compiling evidence of secure development practices
- Generating cybersecurity design and implementation reports
- Organizing cybersecurity requirements traceability matrices
- Conducting internal gap assessments before formal audits
- Responding to auditor findings and corrective action requests
- Maintaining up-to-date records of all security activities
- Aligning with TISAX audit requirements for data protection
- Preparing for UNECE WP.29 type approval processes
- Submitting technical documentation to regulatory bodies
- Conducting periodic reassessment of cybersecurity management system
- Training staff on audit procedures and documentation standards
- Integrating continuous monitoring to sustain compliance
Module 15: Capstone Projects & Real-World Application - Analyzing a real-world automotive cyberattack case study in depth
- Designing a secure E/E architecture for a next-generation EV
- Developing a threat model for a connected car platform
- Creating a CSMS for a fictional OEM with global operations
- Simulating an OTA update attack and designing countermeasures
- Building an intrusion detection rule set for CAN traffic anomalies
- Implementing a secure boot verification process for an ECU
- Designing a red team exercise for a vehicle’s infotainment system
- Writing a full cybersecurity report compliant with ISO 21434
- Developing a software bill of materials (SBOM) for a telematics unit
- Creating a vulnerability disclosure policy for a Tier 1 supplier
- Mapping attack paths using the MITRE Automotive ATT&CK framework
- Building a risk register with likelihood and impact scores
- Designing a security-aware HMI to alert drivers of cyber incidents
- Linking all project outcomes to the Certificate of Completion requirements
- Designing signature-based detection rules for known attack patterns
- Building behavioral baselines for normal ECU communication
- Implementing statistical anomaly detection on CAN message frequency
- Using entropy analysis to detect encrypted or scrambled attacks
- Deploying rule engines for real-time threat correlation
- Integrating IDS alerts with vehicle state monitoring systems
- Reducing false positives using context-aware filtering
- Forwarding critical alerts to backend security operations centers
- Using timing deviation detection for covert command injection
- Monitoring diagnostic session transitions for privilege escalation
- Implementing machine learning models for dynamic threat profiling
- Training lightweight models on edge devices within the vehicle
- Using clustering algorithms to identify unknown attack behaviors
- Enabling adaptive threshold tuning based on driving conditions
- Logging and storing IDS events with tamper-resistant storage
Module 7: AI-Driven Threat Intelligence & Behavioral Analytics - Integrating AI models to predict attack likelihood based on fleet data
- Training neural networks on multi-sensor telemetry for anomaly detection
- Using federated learning to preserve privacy while improving vehicle AI
- Implementing deep learning for CAN message sequence pattern recognition
- Building AI-powered correlation engines across geographically distributed fleets
- Reducing model drift with continuous retraining pipelines
- Using natural language processing to analyze vulnerability disclosures
- Automating threat report generation from IDS and SIEM systems
- Creating digital twins for cybersecurity simulation and testing
- Validating AI decisions with explainability frameworks (XAI)
- Securing AI models against adversarial attacks and data poisoning
- Using reinforcement learning to optimize IDS rule sets
- Monitoring model confidence scores to detect environmental shifts
- Deploying edge AI for real-time inference within vehicle networks
- Integrating predictive risk scoring into vehicle health dashboards
Module 8: Cloud & Backend Security for Connected Vehicles - Designing secure API gateways for vehicle-to-cloud communication
- Implementing OAuth 2.0 and OpenID Connect for identity management
- Hardening cloud infrastructure using zero-trust network access (ZTNA)
- Encrypting vehicle data at rest and in transit using AES-256
- Preventing API abuse with rate limiting and quota enforcement
- Securing MQTT brokers used in telematics data pipelines
- Validating JWT tokens issued during vehicle authentication
- Protecting customer data in line with GDPR and CCPA
- Implementing role-based access control (RBAC) for backend systems
- Monitoring cloud logs for suspicious query patterns and access attempts
- Using WAFs to block SQL injection and XSS attacks on web portals
- Securing database backups with automated encryption and retention
- Integrating SIEM systems to correlate vehicle and cloud events
- Creating immutable audit trails using blockchain-inspired ledgers
- Applying security patches to cloud services with zero downtime
Module 9: Penetration Testing & Red Team Exercises - Building a vehicle penetration testing lab using real and simulated ECUs
- Conducting physical access testing on OBD-II ports and USB interfaces
- Executing CAN injection attacks using open-source tools
- Bypassing security checks through fuzz testing on diagnostic services
- Exploiting misconfigured UDS services to extract firmware
- Using logic analyzers to intercept and decode vehicle network traffic
- Simulating relay attacks on keyless entry and start systems
- Testing for insecure Bluetooth and Wi-Fi pairing mechanisms
- Assessing mobile app security for remote vehicle control features
- Identifying vulnerabilities in third-party SDKs used in infotainment
- Documenting findings using standardized reporting templates
- Mapping exploits to MITRE ATT&CK for Automobiles framework
- Conducting red team vs blue team simulations in vehicle environments
- Measuring mean time to detect (MTTD) and respond (MTTR) to attacks
- Providing actionable remediation recommendations to engineering teams
Module 10: Secure Development Lifecycle (SDL) Integration - Integrating cybersecurity into each phase of the V-model
- Conducting threat modeling during system architecture design
- Deriving security requirements from regulatory and business needs
- Implementing secure code reviews using checklists and tools
- Automating vulnerability scanning in CI pipelines
- Using software composition analysis to detect open-source risks
- Managing dependencies with SBOMs (Software Bill of Materials)
- Applying DevSecOps principles to automotive software delivery
- Enforcing secure configuration management across environments
- Training developers on common automotive vulnerabilities (CWEs)
- Creating security test cases for HIL and SIL validation
- Integrating fuzz testing into nightly builds
- Validating memory safety in C/C++ codebases
- Using hardware-in-the-loop (HIL) to simulate attack scenarios
- Conducting final cybersecurity verification before production release
Module 11: Incident Response & Forensics - Establishing a vehicle security incident response plan (VSIRP)
- Defining escalation paths for different severity levels
- Collecting forensic data from ECUs without disrupting vehicle function
- Using non-volatile memory dumps to reconstruct attack timelines
- Preserving chain of custody for legal and regulatory purposes
- Analyzing logs from IDS, gateways, and telematics units
- Detecting persistence mechanisms used by automotive malware
- Blocking command-and-control channels from compromised vehicles
- Issuing emergency security updates during active incidents
- Coordinating with law enforcement and regulatory bodies
- Communicating with customers during a security breach
- Conducting post-incident reviews and lessons learned
- Updating threat models based on new attack intelligence
- Improving resilience through architectural changes
- Building a knowledge base of past incidents for team training
Module 12: AI & Machine Learning Security for Autonomous Systems - Securing sensor data inputs to AI perception systems
- Protecting against adversarial examples in vision and radar models
- Validating neural network inputs using plausibility checks
- Monitoring model inference times for timing-based attacks
- Implementing model watermarking to detect IP theft
- Hardening training data pipelines against poisoning attacks
- Using differential privacy to protect training datasets
- Ensuring model integrity with cryptographic hashing
- Creating fallback mechanisms for compromised AI decisions
- Integrating safety and security monitors in autonomous driving stacks
- Validating AI behavior under edge-case scenarios
- Monitoring for model bias and drift in real-world conditions
- Securing model updates delivered via OTA to edge devices
- Using homomorphic encryption to enable secure inference
- Applying split learning to keep sensitive data on the vehicle
Module 13: Supply Chain & Third-Party Risk Management - Assessing cybersecurity maturity of Tier 1 and Tier 2 suppliers
- Requiring evidence of ISO/SAE 21434 compliance from vendors
- Conducting security audits of third-party software components
- Validating SBOMs provided by suppliers for completeness
- Implementing contractual cybersecurity clauses in procurement
- Monitoring for vulnerabilities in open-source libraries used by suppliers
- Conducting penetration testing on third-party ECUs before integration
- Enforcing secure firmware update processes across supply chain
- Establishing communication channels for vulnerability disclosure
- Managing coordinated vulnerability disclosure timelines
- Requiring multi-party code signing for distributed components
- Securing build environments used by external partners
- Validating hardware authenticity using PUFs and root of trust
- Tracking component provenance from factory to vehicle installation
- Creating fallback plans for compromised third-party services
Module 14: Certification, Compliance & Audit Readiness - Preparing documentation for ISO/SAE 21434 certification audits
- Creating a cybersecurity case with hazard and risk analysis
- Documenting threat scenarios and mitigation strategies
- Compiling evidence of secure development practices
- Generating cybersecurity design and implementation reports
- Organizing cybersecurity requirements traceability matrices
- Conducting internal gap assessments before formal audits
- Responding to auditor findings and corrective action requests
- Maintaining up-to-date records of all security activities
- Aligning with TISAX audit requirements for data protection
- Preparing for UNECE WP.29 type approval processes
- Submitting technical documentation to regulatory bodies
- Conducting periodic reassessment of cybersecurity management system
- Training staff on audit procedures and documentation standards
- Integrating continuous monitoring to sustain compliance
Module 15: Capstone Projects & Real-World Application - Analyzing a real-world automotive cyberattack case study in depth
- Designing a secure E/E architecture for a next-generation EV
- Developing a threat model for a connected car platform
- Creating a CSMS for a fictional OEM with global operations
- Simulating an OTA update attack and designing countermeasures
- Building an intrusion detection rule set for CAN traffic anomalies
- Implementing a secure boot verification process for an ECU
- Designing a red team exercise for a vehicle’s infotainment system
- Writing a full cybersecurity report compliant with ISO 21434
- Developing a software bill of materials (SBOM) for a telematics unit
- Creating a vulnerability disclosure policy for a Tier 1 supplier
- Mapping attack paths using the MITRE Automotive ATT&CK framework
- Building a risk register with likelihood and impact scores
- Designing a security-aware HMI to alert drivers of cyber incidents
- Linking all project outcomes to the Certificate of Completion requirements
- Designing secure API gateways for vehicle-to-cloud communication
- Implementing OAuth 2.0 and OpenID Connect for identity management
- Hardening cloud infrastructure using zero-trust network access (ZTNA)
- Encrypting vehicle data at rest and in transit using AES-256
- Preventing API abuse with rate limiting and quota enforcement
- Securing MQTT brokers used in telematics data pipelines
- Validating JWT tokens issued during vehicle authentication
- Protecting customer data in line with GDPR and CCPA
- Implementing role-based access control (RBAC) for backend systems
- Monitoring cloud logs for suspicious query patterns and access attempts
- Using WAFs to block SQL injection and XSS attacks on web portals
- Securing database backups with automated encryption and retention
- Integrating SIEM systems to correlate vehicle and cloud events
- Creating immutable audit trails using blockchain-inspired ledgers
- Applying security patches to cloud services with zero downtime
Module 9: Penetration Testing & Red Team Exercises - Building a vehicle penetration testing lab using real and simulated ECUs
- Conducting physical access testing on OBD-II ports and USB interfaces
- Executing CAN injection attacks using open-source tools
- Bypassing security checks through fuzz testing on diagnostic services
- Exploiting misconfigured UDS services to extract firmware
- Using logic analyzers to intercept and decode vehicle network traffic
- Simulating relay attacks on keyless entry and start systems
- Testing for insecure Bluetooth and Wi-Fi pairing mechanisms
- Assessing mobile app security for remote vehicle control features
- Identifying vulnerabilities in third-party SDKs used in infotainment
- Documenting findings using standardized reporting templates
- Mapping exploits to MITRE ATT&CK for Automobiles framework
- Conducting red team vs blue team simulations in vehicle environments
- Measuring mean time to detect (MTTD) and respond (MTTR) to attacks
- Providing actionable remediation recommendations to engineering teams
Module 10: Secure Development Lifecycle (SDL) Integration - Integrating cybersecurity into each phase of the V-model
- Conducting threat modeling during system architecture design
- Deriving security requirements from regulatory and business needs
- Implementing secure code reviews using checklists and tools
- Automating vulnerability scanning in CI pipelines
- Using software composition analysis to detect open-source risks
- Managing dependencies with SBOMs (Software Bill of Materials)
- Applying DevSecOps principles to automotive software delivery
- Enforcing secure configuration management across environments
- Training developers on common automotive vulnerabilities (CWEs)
- Creating security test cases for HIL and SIL validation
- Integrating fuzz testing into nightly builds
- Validating memory safety in C/C++ codebases
- Using hardware-in-the-loop (HIL) to simulate attack scenarios
- Conducting final cybersecurity verification before production release
Module 11: Incident Response & Forensics - Establishing a vehicle security incident response plan (VSIRP)
- Defining escalation paths for different severity levels
- Collecting forensic data from ECUs without disrupting vehicle function
- Using non-volatile memory dumps to reconstruct attack timelines
- Preserving chain of custody for legal and regulatory purposes
- Analyzing logs from IDS, gateways, and telematics units
- Detecting persistence mechanisms used by automotive malware
- Blocking command-and-control channels from compromised vehicles
- Issuing emergency security updates during active incidents
- Coordinating with law enforcement and regulatory bodies
- Communicating with customers during a security breach
- Conducting post-incident reviews and lessons learned
- Updating threat models based on new attack intelligence
- Improving resilience through architectural changes
- Building a knowledge base of past incidents for team training
Module 12: AI & Machine Learning Security for Autonomous Systems - Securing sensor data inputs to AI perception systems
- Protecting against adversarial examples in vision and radar models
- Validating neural network inputs using plausibility checks
- Monitoring model inference times for timing-based attacks
- Implementing model watermarking to detect IP theft
- Hardening training data pipelines against poisoning attacks
- Using differential privacy to protect training datasets
- Ensuring model integrity with cryptographic hashing
- Creating fallback mechanisms for compromised AI decisions
- Integrating safety and security monitors in autonomous driving stacks
- Validating AI behavior under edge-case scenarios
- Monitoring for model bias and drift in real-world conditions
- Securing model updates delivered via OTA to edge devices
- Using homomorphic encryption to enable secure inference
- Applying split learning to keep sensitive data on the vehicle
Module 13: Supply Chain & Third-Party Risk Management - Assessing cybersecurity maturity of Tier 1 and Tier 2 suppliers
- Requiring evidence of ISO/SAE 21434 compliance from vendors
- Conducting security audits of third-party software components
- Validating SBOMs provided by suppliers for completeness
- Implementing contractual cybersecurity clauses in procurement
- Monitoring for vulnerabilities in open-source libraries used by suppliers
- Conducting penetration testing on third-party ECUs before integration
- Enforcing secure firmware update processes across supply chain
- Establishing communication channels for vulnerability disclosure
- Managing coordinated vulnerability disclosure timelines
- Requiring multi-party code signing for distributed components
- Securing build environments used by external partners
- Validating hardware authenticity using PUFs and root of trust
- Tracking component provenance from factory to vehicle installation
- Creating fallback plans for compromised third-party services
Module 14: Certification, Compliance & Audit Readiness - Preparing documentation for ISO/SAE 21434 certification audits
- Creating a cybersecurity case with hazard and risk analysis
- Documenting threat scenarios and mitigation strategies
- Compiling evidence of secure development practices
- Generating cybersecurity design and implementation reports
- Organizing cybersecurity requirements traceability matrices
- Conducting internal gap assessments before formal audits
- Responding to auditor findings and corrective action requests
- Maintaining up-to-date records of all security activities
- Aligning with TISAX audit requirements for data protection
- Preparing for UNECE WP.29 type approval processes
- Submitting technical documentation to regulatory bodies
- Conducting periodic reassessment of cybersecurity management system
- Training staff on audit procedures and documentation standards
- Integrating continuous monitoring to sustain compliance
Module 15: Capstone Projects & Real-World Application - Analyzing a real-world automotive cyberattack case study in depth
- Designing a secure E/E architecture for a next-generation EV
- Developing a threat model for a connected car platform
- Creating a CSMS for a fictional OEM with global operations
- Simulating an OTA update attack and designing countermeasures
- Building an intrusion detection rule set for CAN traffic anomalies
- Implementing a secure boot verification process for an ECU
- Designing a red team exercise for a vehicle’s infotainment system
- Writing a full cybersecurity report compliant with ISO 21434
- Developing a software bill of materials (SBOM) for a telematics unit
- Creating a vulnerability disclosure policy for a Tier 1 supplier
- Mapping attack paths using the MITRE Automotive ATT&CK framework
- Building a risk register with likelihood and impact scores
- Designing a security-aware HMI to alert drivers of cyber incidents
- Linking all project outcomes to the Certificate of Completion requirements
- Integrating cybersecurity into each phase of the V-model
- Conducting threat modeling during system architecture design
- Deriving security requirements from regulatory and business needs
- Implementing secure code reviews using checklists and tools
- Automating vulnerability scanning in CI pipelines
- Using software composition analysis to detect open-source risks
- Managing dependencies with SBOMs (Software Bill of Materials)
- Applying DevSecOps principles to automotive software delivery
- Enforcing secure configuration management across environments
- Training developers on common automotive vulnerabilities (CWEs)
- Creating security test cases for HIL and SIL validation
- Integrating fuzz testing into nightly builds
- Validating memory safety in C/C++ codebases
- Using hardware-in-the-loop (HIL) to simulate attack scenarios
- Conducting final cybersecurity verification before production release
Module 11: Incident Response & Forensics - Establishing a vehicle security incident response plan (VSIRP)
- Defining escalation paths for different severity levels
- Collecting forensic data from ECUs without disrupting vehicle function
- Using non-volatile memory dumps to reconstruct attack timelines
- Preserving chain of custody for legal and regulatory purposes
- Analyzing logs from IDS, gateways, and telematics units
- Detecting persistence mechanisms used by automotive malware
- Blocking command-and-control channels from compromised vehicles
- Issuing emergency security updates during active incidents
- Coordinating with law enforcement and regulatory bodies
- Communicating with customers during a security breach
- Conducting post-incident reviews and lessons learned
- Updating threat models based on new attack intelligence
- Improving resilience through architectural changes
- Building a knowledge base of past incidents for team training
Module 12: AI & Machine Learning Security for Autonomous Systems - Securing sensor data inputs to AI perception systems
- Protecting against adversarial examples in vision and radar models
- Validating neural network inputs using plausibility checks
- Monitoring model inference times for timing-based attacks
- Implementing model watermarking to detect IP theft
- Hardening training data pipelines against poisoning attacks
- Using differential privacy to protect training datasets
- Ensuring model integrity with cryptographic hashing
- Creating fallback mechanisms for compromised AI decisions
- Integrating safety and security monitors in autonomous driving stacks
- Validating AI behavior under edge-case scenarios
- Monitoring for model bias and drift in real-world conditions
- Securing model updates delivered via OTA to edge devices
- Using homomorphic encryption to enable secure inference
- Applying split learning to keep sensitive data on the vehicle
Module 13: Supply Chain & Third-Party Risk Management - Assessing cybersecurity maturity of Tier 1 and Tier 2 suppliers
- Requiring evidence of ISO/SAE 21434 compliance from vendors
- Conducting security audits of third-party software components
- Validating SBOMs provided by suppliers for completeness
- Implementing contractual cybersecurity clauses in procurement
- Monitoring for vulnerabilities in open-source libraries used by suppliers
- Conducting penetration testing on third-party ECUs before integration
- Enforcing secure firmware update processes across supply chain
- Establishing communication channels for vulnerability disclosure
- Managing coordinated vulnerability disclosure timelines
- Requiring multi-party code signing for distributed components
- Securing build environments used by external partners
- Validating hardware authenticity using PUFs and root of trust
- Tracking component provenance from factory to vehicle installation
- Creating fallback plans for compromised third-party services
Module 14: Certification, Compliance & Audit Readiness - Preparing documentation for ISO/SAE 21434 certification audits
- Creating a cybersecurity case with hazard and risk analysis
- Documenting threat scenarios and mitigation strategies
- Compiling evidence of secure development practices
- Generating cybersecurity design and implementation reports
- Organizing cybersecurity requirements traceability matrices
- Conducting internal gap assessments before formal audits
- Responding to auditor findings and corrective action requests
- Maintaining up-to-date records of all security activities
- Aligning with TISAX audit requirements for data protection
- Preparing for UNECE WP.29 type approval processes
- Submitting technical documentation to regulatory bodies
- Conducting periodic reassessment of cybersecurity management system
- Training staff on audit procedures and documentation standards
- Integrating continuous monitoring to sustain compliance
Module 15: Capstone Projects & Real-World Application - Analyzing a real-world automotive cyberattack case study in depth
- Designing a secure E/E architecture for a next-generation EV
- Developing a threat model for a connected car platform
- Creating a CSMS for a fictional OEM with global operations
- Simulating an OTA update attack and designing countermeasures
- Building an intrusion detection rule set for CAN traffic anomalies
- Implementing a secure boot verification process for an ECU
- Designing a red team exercise for a vehicle’s infotainment system
- Writing a full cybersecurity report compliant with ISO 21434
- Developing a software bill of materials (SBOM) for a telematics unit
- Creating a vulnerability disclosure policy for a Tier 1 supplier
- Mapping attack paths using the MITRE Automotive ATT&CK framework
- Building a risk register with likelihood and impact scores
- Designing a security-aware HMI to alert drivers of cyber incidents
- Linking all project outcomes to the Certificate of Completion requirements
- Securing sensor data inputs to AI perception systems
- Protecting against adversarial examples in vision and radar models
- Validating neural network inputs using plausibility checks
- Monitoring model inference times for timing-based attacks
- Implementing model watermarking to detect IP theft
- Hardening training data pipelines against poisoning attacks
- Using differential privacy to protect training datasets
- Ensuring model integrity with cryptographic hashing
- Creating fallback mechanisms for compromised AI decisions
- Integrating safety and security monitors in autonomous driving stacks
- Validating AI behavior under edge-case scenarios
- Monitoring for model bias and drift in real-world conditions
- Securing model updates delivered via OTA to edge devices
- Using homomorphic encryption to enable secure inference
- Applying split learning to keep sensitive data on the vehicle
Module 13: Supply Chain & Third-Party Risk Management - Assessing cybersecurity maturity of Tier 1 and Tier 2 suppliers
- Requiring evidence of ISO/SAE 21434 compliance from vendors
- Conducting security audits of third-party software components
- Validating SBOMs provided by suppliers for completeness
- Implementing contractual cybersecurity clauses in procurement
- Monitoring for vulnerabilities in open-source libraries used by suppliers
- Conducting penetration testing on third-party ECUs before integration
- Enforcing secure firmware update processes across supply chain
- Establishing communication channels for vulnerability disclosure
- Managing coordinated vulnerability disclosure timelines
- Requiring multi-party code signing for distributed components
- Securing build environments used by external partners
- Validating hardware authenticity using PUFs and root of trust
- Tracking component provenance from factory to vehicle installation
- Creating fallback plans for compromised third-party services
Module 14: Certification, Compliance & Audit Readiness - Preparing documentation for ISO/SAE 21434 certification audits
- Creating a cybersecurity case with hazard and risk analysis
- Documenting threat scenarios and mitigation strategies
- Compiling evidence of secure development practices
- Generating cybersecurity design and implementation reports
- Organizing cybersecurity requirements traceability matrices
- Conducting internal gap assessments before formal audits
- Responding to auditor findings and corrective action requests
- Maintaining up-to-date records of all security activities
- Aligning with TISAX audit requirements for data protection
- Preparing for UNECE WP.29 type approval processes
- Submitting technical documentation to regulatory bodies
- Conducting periodic reassessment of cybersecurity management system
- Training staff on audit procedures and documentation standards
- Integrating continuous monitoring to sustain compliance
Module 15: Capstone Projects & Real-World Application - Analyzing a real-world automotive cyberattack case study in depth
- Designing a secure E/E architecture for a next-generation EV
- Developing a threat model for a connected car platform
- Creating a CSMS for a fictional OEM with global operations
- Simulating an OTA update attack and designing countermeasures
- Building an intrusion detection rule set for CAN traffic anomalies
- Implementing a secure boot verification process for an ECU
- Designing a red team exercise for a vehicle’s infotainment system
- Writing a full cybersecurity report compliant with ISO 21434
- Developing a software bill of materials (SBOM) for a telematics unit
- Creating a vulnerability disclosure policy for a Tier 1 supplier
- Mapping attack paths using the MITRE Automotive ATT&CK framework
- Building a risk register with likelihood and impact scores
- Designing a security-aware HMI to alert drivers of cyber incidents
- Linking all project outcomes to the Certificate of Completion requirements
- Preparing documentation for ISO/SAE 21434 certification audits
- Creating a cybersecurity case with hazard and risk analysis
- Documenting threat scenarios and mitigation strategies
- Compiling evidence of secure development practices
- Generating cybersecurity design and implementation reports
- Organizing cybersecurity requirements traceability matrices
- Conducting internal gap assessments before formal audits
- Responding to auditor findings and corrective action requests
- Maintaining up-to-date records of all security activities
- Aligning with TISAX audit requirements for data protection
- Preparing for UNECE WP.29 type approval processes
- Submitting technical documentation to regulatory bodies
- Conducting periodic reassessment of cybersecurity management system
- Training staff on audit procedures and documentation standards
- Integrating continuous monitoring to sustain compliance