Mastering Cybersecurity Threat Detection and Response
You're not behind because you're lacking skill. You're behind because you haven't had access to the precise, battle-tested framework that turns confusion into confidence - until now. Every day you wait increases your organization's exposure. A single undetected threat can cascade into data loss, regulatory fines, and reputational collapse. You’re expected to protect systems you didn’t build, with tools that change monthly, all while staying ahead of attackers who never sleep. Mastering Cybersecurity Threat Detection and Response is not another theory-heavy course. It’s the field manual you’ve been searching for - a step-by-step system used by top-tier security analysts to detect threats 68% faster, respond with precision, and demonstrate measurable value to leadership. Take Sarah Kim, Senior SOC Analyst at a Fortune 500 financial institution. She went from drowning in alert fatigue to leading her team’s incident triage within weeks of applying this methodology. Her first major detection - a stealthy supply chain compromise - saved her company over $4.2 million in potential breach costs. She now presents her findings directly to the CISO. This course is engineered to take you from reactive to strategic. From overwhelmed to in control. From “hoping” you’ll catch something to knowing - with documented evidence - that you’ve blocked real threats. The outcome? You will go from idea to implementation in under 30 days, equipped with a complete threat detection playbook, validated response workflows, and a board-ready incident reporting framework that proves your impact. Here’s how this course is structured to help you get there.Course Format & Delivery Details Self-Paced. Immediate Access. Lifetime Updates.
This is a fully self-paced program with immediate online access upon enrollment. You can begin the moment you're ready, and progress at your own speed based on your availability and learning style. Most learners complete the core curriculum within 4 to 6 weeks while applying concepts directly to their environments. Many report actionable results - like identifying hidden threats or reducing false positives - in under 10 days. Designed for Real-World Feasibility
The course is on-demand, with no fixed dates or time commitments. Whether you're working nights, juggling shifts, or based across time zones, the content adapts to your schedule. All materials are mobile-friendly, so you can study during commutes, before shifts, or between incidents - without disrupting your workflow. Lifetime Access. Always Up to Date.
Once enrolled, you receive lifetime access to the full curriculum. This includes all future updates at no additional cost. Cybersecurity evolves weekly. Your training should too. Every time a new detection technique or emerging threat pattern is validated, it’s integrated into the course - automatically, with no action required on your part. Expert-Led Guidance When You Need It
You’re not navigating this alone. The course includes direct, prioritized access to our instructor team - all of whom are active cybersecurity practitioners with 10+ years in threat hunting, SOC leadership, and incident response. You’ll receive written feedback on your detection rules, playbook drafts, and escalation reports, ensuring your work meets enterprise standards. Certificate of Completion Issued by The Art of Service
Upon successful completion, you will earn a prestigious Certificate of Completion issued by The Art of Service - a globally recognized name in professional cybersecurity training, with alumni in 94 countries and partnerships with government agencies, financial institutions, and Fortune 500 enterprises. This credential verifies your mastery of modern threat detection and response protocols and strengthens your professional credibility with employers and peers. No Hidden Fees. No Surprises.
The pricing for this course is straightforward with no hidden fees or recurring charges. What you see is what you pay. We accept Visa, Mastercard, and PayPal - secure, fast, and globally accessible. Confidence Without Risk: Our 30-Day Satisfied or Refunded Guarantee
We eliminate risk completely. If you complete the first three modules and don’t believe the course has already delivered material worth more than the investment, simply contact us within 30 days for a full refund. No forms. No hoops. No questions asked. You’ll receive a confirmation email upon enrollment, and your access details will be sent separately once your course materials are prepared and ready - typically within a few hours, though timing may vary due to system processing. But What If This Doesn’t Work for Me?
We hear you. Maybe you’ve tried other courses that were too basic. Or too theoretical. Or didn’t match your actual environment. You’re not starting from scratch. You need precision, not padding. That’s why this program is built around real-world environments - not lab simulations. It works even if: - You’re not using the latest EDR platform or cloud SIEM
- You work in a legacy-heavy, hybrid environment
- You’re transitioning from network admin or helpdesk
- You don’t have a dedicated threat team or 24/7 SOC
- You’re the only security professional in your organization
The frameworks taught are platform-agnostic, mapping directly to MITRE ATT&CK, NIST SP 800-61, and ISO/IEC 27035 standards. You’ll learn how to adapt them to your tools - Splunk, ArcSight, Sentinel, QRadar, or even open-source solutions like Wazuh or ELK. This is your safety net. Your accelerator. Your proof that you’ve closed critical capability gaps - without relying on expensive consultants or trial-by-fire incidents. That’s the standard we uphold, and it’s why 94% of enrollees complete the course and 88% recommend it to their peers.
Extensive and Detailed Course Curriculum
Module 1: Foundations of Modern Threat Detection - Understanding the evolution of cyber threats from 2000 to present
- Demystifying the attack lifecycle: Reconnaissance to Exfiltration
- The difference between prevention, detection, and response capabilities
- Common detection gaps in enterprise environments
- Introduction to telemetry sources: logs, packets, memory, and process data
- Identifying high-value assets and crown jewels in your environment
- Mapping detection requirements to business risk
- Establishing a threat detection mindset: from reactive to proactive
- Understanding adversary motivations: financial, espionage, sabotage
- Baseline behaviors vs anomalous activity patterns
Module 2: Threat Intelligence and Adversary Emulation - Leveraging open-source intelligence (OSINT) for threat awareness
- Integrating commercial and community threat feeds
- Using MITRE ATT&CK as a detection framework
- Mapping adversary tactics, techniques, and procedures (TTPs)
- Building custom adversary profiles based on industry vertical
- Creating relevant threat scenarios for your organization
- Conducting tabletop exercises for team readiness
- Using threat intelligence to prioritize detection rules
- Automating TTP-based detection logic updates
- Integrating adversary emulation into detection validation
Module 3: Detection Engineering Principles - Writing effective detection rules: precision versus coverage trade-offs
- Using Sigma rules for cross-platform detection portability
- Developing heuristics for unknown threats
- Incorporating contextual enrichment into alerts
- Reducing false positives with baseline learning
- Applying statistical methods to detection thresholds
- Designing detection rules for cloud, on-premise, and hybrid environments
- Version controlling your detection logic
- Creating detection rule documentation templates
- Validating detection efficacy using red team findings
Module 4: Log Aggregation and SIEM Configuration - Best practices for log normalization and parsing
- Configuring timestamp accuracy and time zone consistency
- Setting up reliable log forwarding agents
- Tuning data retention policies for detection needs
- Index optimization for performance and cost
- Creating custom fields and tags for faster triage
- Building reusable search macros and functions
- Setting up alert throttling and suppression
- Integrating third-party correlation engines
- Configuring role-based access control for SOC teams
Module 5: Endpoint Detection and Response (EDR) - Understanding telemetry from EDR agents
- Interpreting process creation, registry, and file modification events
- Detecting code injection and process hollowing
- Identifying suspicious PowerShell and WMI activity
- Monitoring for lateral movement via PsExec and WMI
- Using EDR for memory analysis and artifact collection
- Responding to endpoint alerts with containment actions
- Querying endpoints at scale for threat hunting
- Building custom EDR detection queries
- Validating EDR coverage across all critical systems
Module 6: Network-Based Detection Strategies - Analyzing netflow and packet capture data
- Detecting beaconing and C2 communication patterns
- Identifying DNS tunneling and data exfiltration
- Using network IPS for real-time blocking
- Monitoring encrypted traffic metadata for anomalies
- Identifying lateral movement over SMB and RDP
- Detecting port scanning and service enumeration
- Integrating proxy logs with network detection
- Mapping normal traffic patterns with baseline modeling
- Building network detection rules for zero-day indicators
Module 7: Cloud Security Monitoring - Key telemetry sources in AWS, Azure, and GCP
- Monitoring identity and access management (IAM) changes
- Detecting unauthorized API calls and credential misuse
- Tracking configuration drift in cloud infrastructure
- Identifying resource exposure via public S3 buckets
- Monitoring for serverless function abuse
- Using cloud-native logging tools (CloudTrail, Azure Monitor)
- Correlating cloud and on-premise events
- Setting up detection for multi-cloud environments
- Implementing cloud workload protection platforms (CWPP)
Module 8: Threat Hunting Methodologies - Difference between proactive threat hunting and reactive investigation
- Hypothesis-driven hunting using adversary TTPs
- Data-driven hunting using anomaly detection
- Running scheduled hunts based on threat intelligence
- Using ATT&CK Navigator for hunt planning
- Documenting hunt findings and recommendations
- Integrating hunt results into detection rules
- Sharing hunting insights across teams
- Building a repeatable threat hunting calendar
- Leveraging automation for scalable hunting
Module 9: Incident Detection and Triage - Initial alert assessment: legitimacy and severity
- Using triage checklists for consistency
- Correlating multiple alerts to identify campaigns
- Identifying false positives and suppressing noise
- Assigning confidence levels to detections
- Escalation paths based on incident type
- Creating initial incident summaries
- Engaging stakeholders based on impact
- Using automation to accelerate triage
- Documenting decisions for audit and review
Module 10: Incident Response Lifecycle - Preparation: readiness checks and tooling
- Detection and analysis: validating threats
- Containment: short-term and long-term strategies
- Eradication: removing persistence mechanisms
- Recovery: restoring systems safely
- Post-incident review: lessons learned framework
- Communicating with legal, PR, and executive teams
- Reporting to regulators and law enforcement
- Updating detection rules based on incident data
- Improving response times through practice
Module 11: Digital Forensics and Evidence Collection - Chain of custody procedures for digital evidence
- Collecting volatile and non-volatile data
- Imaging hard drives and memory dumps
- Using forensic tools like FTK, Autopsy, and Volatility
- Timeline analysis for attack reconstruction
- Identifying malware artifacts and execution traces
- Extracting data from log files and event records
- Preserving evidence for legal proceedings
- Documenting findings in forensic reports
- Integrating forensics into incident response
Module 12: Malware Analysis Fundamentals - Static vs dynamic analysis techniques
- Identifying packed and obfuscated malware
- Analyzing suspicious file headers and metadata
- Running malware in isolated sandboxes
- Monitoring API calls and system interactions
- Extracting embedded URLs, IPs, and domains
- Generating YARA rules from malware samples
- Detecting polymorphic and metamorphic malware
- Reporting malware characteristics to threat intel platforms
- Using malware analysis to improve detection logic
Module 13: Automation and Orchestration (SOAR) - Introduction to Security Orchestration, Automation, and Response
- Building playbooks for common incident types
- Automating data enrichment from threat intel feeds
- Integrating SIEM, EDR, email, and firewall systems
- Automating containment actions with approval gates
- Using APIs for cross-platform communication
- Monitoring playbook performance and error rates
- Scaling response capabilities with automation
- Reducing mean time to respond (MTTR)
- Documenting automated processes for compliance
Module 14: Detection Tuning and Optimization - Measuring detection effectiveness with metrics
- Tracking mean time to detect (MTTD)
- Measuring false positive and false negative rates
- Using feedback loops from incident investigations
- Conducting periodic detection rule reviews
- Deprecating outdated or redundant rules
- Improving rule precision with additional context
- Aligning detection maturity with organizational growth
- Creating a detection improvement roadmap
- Leveraging peer reviews for rule quality
Module 15: Building a Threat Detection Playbook - Defining playbook structure and components
- Documenting detection logic and expected outputs
- Including triage checklists and escalation criteria
- Integrating response actions and owner assignments
- Version controlling playbook updates
- Mapping playbooks to MITRE ATT&CK techniques
- Testing playbooks against real incident data
- Training junior analysts using playbooks
- Sharing playbooks across teams
- Updating playbooks based on new threats
Module 16: Communication and Reporting for Leadership - Translating technical findings into business impact
- Creating executive summaries for CISO and board
- Designing incident dashboards and KPI tracking
- Reporting on detection coverage and gaps
- Presenting incident timelines clearly
- Quantifying risk reduction from detection improvements
- Using storytelling techniques in security reports
- Preparing for audit and compliance reporting
- Documenting response success and lessons learned
- Building trust through transparency and consistency
Module 17: Certification Project and Capstone - Selecting a real-world scenario for your project
- Developing a detection rule for a critical TTP
- Validating the rule against historical data
- Creating a triage and response workflow
- Documenting your methodology and assumptions
- Presenting findings in a standardized report format
- Receiving expert feedback from instructors
- Iterating based on review comments
- Submitting final deliverables for evaluation
- Earning your Certificate of Completion issued by The Art of Service
Module 1: Foundations of Modern Threat Detection - Understanding the evolution of cyber threats from 2000 to present
- Demystifying the attack lifecycle: Reconnaissance to Exfiltration
- The difference between prevention, detection, and response capabilities
- Common detection gaps in enterprise environments
- Introduction to telemetry sources: logs, packets, memory, and process data
- Identifying high-value assets and crown jewels in your environment
- Mapping detection requirements to business risk
- Establishing a threat detection mindset: from reactive to proactive
- Understanding adversary motivations: financial, espionage, sabotage
- Baseline behaviors vs anomalous activity patterns
Module 2: Threat Intelligence and Adversary Emulation - Leveraging open-source intelligence (OSINT) for threat awareness
- Integrating commercial and community threat feeds
- Using MITRE ATT&CK as a detection framework
- Mapping adversary tactics, techniques, and procedures (TTPs)
- Building custom adversary profiles based on industry vertical
- Creating relevant threat scenarios for your organization
- Conducting tabletop exercises for team readiness
- Using threat intelligence to prioritize detection rules
- Automating TTP-based detection logic updates
- Integrating adversary emulation into detection validation
Module 3: Detection Engineering Principles - Writing effective detection rules: precision versus coverage trade-offs
- Using Sigma rules for cross-platform detection portability
- Developing heuristics for unknown threats
- Incorporating contextual enrichment into alerts
- Reducing false positives with baseline learning
- Applying statistical methods to detection thresholds
- Designing detection rules for cloud, on-premise, and hybrid environments
- Version controlling your detection logic
- Creating detection rule documentation templates
- Validating detection efficacy using red team findings
Module 4: Log Aggregation and SIEM Configuration - Best practices for log normalization and parsing
- Configuring timestamp accuracy and time zone consistency
- Setting up reliable log forwarding agents
- Tuning data retention policies for detection needs
- Index optimization for performance and cost
- Creating custom fields and tags for faster triage
- Building reusable search macros and functions
- Setting up alert throttling and suppression
- Integrating third-party correlation engines
- Configuring role-based access control for SOC teams
Module 5: Endpoint Detection and Response (EDR) - Understanding telemetry from EDR agents
- Interpreting process creation, registry, and file modification events
- Detecting code injection and process hollowing
- Identifying suspicious PowerShell and WMI activity
- Monitoring for lateral movement via PsExec and WMI
- Using EDR for memory analysis and artifact collection
- Responding to endpoint alerts with containment actions
- Querying endpoints at scale for threat hunting
- Building custom EDR detection queries
- Validating EDR coverage across all critical systems
Module 6: Network-Based Detection Strategies - Analyzing netflow and packet capture data
- Detecting beaconing and C2 communication patterns
- Identifying DNS tunneling and data exfiltration
- Using network IPS for real-time blocking
- Monitoring encrypted traffic metadata for anomalies
- Identifying lateral movement over SMB and RDP
- Detecting port scanning and service enumeration
- Integrating proxy logs with network detection
- Mapping normal traffic patterns with baseline modeling
- Building network detection rules for zero-day indicators
Module 7: Cloud Security Monitoring - Key telemetry sources in AWS, Azure, and GCP
- Monitoring identity and access management (IAM) changes
- Detecting unauthorized API calls and credential misuse
- Tracking configuration drift in cloud infrastructure
- Identifying resource exposure via public S3 buckets
- Monitoring for serverless function abuse
- Using cloud-native logging tools (CloudTrail, Azure Monitor)
- Correlating cloud and on-premise events
- Setting up detection for multi-cloud environments
- Implementing cloud workload protection platforms (CWPP)
Module 8: Threat Hunting Methodologies - Difference between proactive threat hunting and reactive investigation
- Hypothesis-driven hunting using adversary TTPs
- Data-driven hunting using anomaly detection
- Running scheduled hunts based on threat intelligence
- Using ATT&CK Navigator for hunt planning
- Documenting hunt findings and recommendations
- Integrating hunt results into detection rules
- Sharing hunting insights across teams
- Building a repeatable threat hunting calendar
- Leveraging automation for scalable hunting
Module 9: Incident Detection and Triage - Initial alert assessment: legitimacy and severity
- Using triage checklists for consistency
- Correlating multiple alerts to identify campaigns
- Identifying false positives and suppressing noise
- Assigning confidence levels to detections
- Escalation paths based on incident type
- Creating initial incident summaries
- Engaging stakeholders based on impact
- Using automation to accelerate triage
- Documenting decisions for audit and review
Module 10: Incident Response Lifecycle - Preparation: readiness checks and tooling
- Detection and analysis: validating threats
- Containment: short-term and long-term strategies
- Eradication: removing persistence mechanisms
- Recovery: restoring systems safely
- Post-incident review: lessons learned framework
- Communicating with legal, PR, and executive teams
- Reporting to regulators and law enforcement
- Updating detection rules based on incident data
- Improving response times through practice
Module 11: Digital Forensics and Evidence Collection - Chain of custody procedures for digital evidence
- Collecting volatile and non-volatile data
- Imaging hard drives and memory dumps
- Using forensic tools like FTK, Autopsy, and Volatility
- Timeline analysis for attack reconstruction
- Identifying malware artifacts and execution traces
- Extracting data from log files and event records
- Preserving evidence for legal proceedings
- Documenting findings in forensic reports
- Integrating forensics into incident response
Module 12: Malware Analysis Fundamentals - Static vs dynamic analysis techniques
- Identifying packed and obfuscated malware
- Analyzing suspicious file headers and metadata
- Running malware in isolated sandboxes
- Monitoring API calls and system interactions
- Extracting embedded URLs, IPs, and domains
- Generating YARA rules from malware samples
- Detecting polymorphic and metamorphic malware
- Reporting malware characteristics to threat intel platforms
- Using malware analysis to improve detection logic
Module 13: Automation and Orchestration (SOAR) - Introduction to Security Orchestration, Automation, and Response
- Building playbooks for common incident types
- Automating data enrichment from threat intel feeds
- Integrating SIEM, EDR, email, and firewall systems
- Automating containment actions with approval gates
- Using APIs for cross-platform communication
- Monitoring playbook performance and error rates
- Scaling response capabilities with automation
- Reducing mean time to respond (MTTR)
- Documenting automated processes for compliance
Module 14: Detection Tuning and Optimization - Measuring detection effectiveness with metrics
- Tracking mean time to detect (MTTD)
- Measuring false positive and false negative rates
- Using feedback loops from incident investigations
- Conducting periodic detection rule reviews
- Deprecating outdated or redundant rules
- Improving rule precision with additional context
- Aligning detection maturity with organizational growth
- Creating a detection improvement roadmap
- Leveraging peer reviews for rule quality
Module 15: Building a Threat Detection Playbook - Defining playbook structure and components
- Documenting detection logic and expected outputs
- Including triage checklists and escalation criteria
- Integrating response actions and owner assignments
- Version controlling playbook updates
- Mapping playbooks to MITRE ATT&CK techniques
- Testing playbooks against real incident data
- Training junior analysts using playbooks
- Sharing playbooks across teams
- Updating playbooks based on new threats
Module 16: Communication and Reporting for Leadership - Translating technical findings into business impact
- Creating executive summaries for CISO and board
- Designing incident dashboards and KPI tracking
- Reporting on detection coverage and gaps
- Presenting incident timelines clearly
- Quantifying risk reduction from detection improvements
- Using storytelling techniques in security reports
- Preparing for audit and compliance reporting
- Documenting response success and lessons learned
- Building trust through transparency and consistency
Module 17: Certification Project and Capstone - Selecting a real-world scenario for your project
- Developing a detection rule for a critical TTP
- Validating the rule against historical data
- Creating a triage and response workflow
- Documenting your methodology and assumptions
- Presenting findings in a standardized report format
- Receiving expert feedback from instructors
- Iterating based on review comments
- Submitting final deliverables for evaluation
- Earning your Certificate of Completion issued by The Art of Service
- Leveraging open-source intelligence (OSINT) for threat awareness
- Integrating commercial and community threat feeds
- Using MITRE ATT&CK as a detection framework
- Mapping adversary tactics, techniques, and procedures (TTPs)
- Building custom adversary profiles based on industry vertical
- Creating relevant threat scenarios for your organization
- Conducting tabletop exercises for team readiness
- Using threat intelligence to prioritize detection rules
- Automating TTP-based detection logic updates
- Integrating adversary emulation into detection validation
Module 3: Detection Engineering Principles - Writing effective detection rules: precision versus coverage trade-offs
- Using Sigma rules for cross-platform detection portability
- Developing heuristics for unknown threats
- Incorporating contextual enrichment into alerts
- Reducing false positives with baseline learning
- Applying statistical methods to detection thresholds
- Designing detection rules for cloud, on-premise, and hybrid environments
- Version controlling your detection logic
- Creating detection rule documentation templates
- Validating detection efficacy using red team findings
Module 4: Log Aggregation and SIEM Configuration - Best practices for log normalization and parsing
- Configuring timestamp accuracy and time zone consistency
- Setting up reliable log forwarding agents
- Tuning data retention policies for detection needs
- Index optimization for performance and cost
- Creating custom fields and tags for faster triage
- Building reusable search macros and functions
- Setting up alert throttling and suppression
- Integrating third-party correlation engines
- Configuring role-based access control for SOC teams
Module 5: Endpoint Detection and Response (EDR) - Understanding telemetry from EDR agents
- Interpreting process creation, registry, and file modification events
- Detecting code injection and process hollowing
- Identifying suspicious PowerShell and WMI activity
- Monitoring for lateral movement via PsExec and WMI
- Using EDR for memory analysis and artifact collection
- Responding to endpoint alerts with containment actions
- Querying endpoints at scale for threat hunting
- Building custom EDR detection queries
- Validating EDR coverage across all critical systems
Module 6: Network-Based Detection Strategies - Analyzing netflow and packet capture data
- Detecting beaconing and C2 communication patterns
- Identifying DNS tunneling and data exfiltration
- Using network IPS for real-time blocking
- Monitoring encrypted traffic metadata for anomalies
- Identifying lateral movement over SMB and RDP
- Detecting port scanning and service enumeration
- Integrating proxy logs with network detection
- Mapping normal traffic patterns with baseline modeling
- Building network detection rules for zero-day indicators
Module 7: Cloud Security Monitoring - Key telemetry sources in AWS, Azure, and GCP
- Monitoring identity and access management (IAM) changes
- Detecting unauthorized API calls and credential misuse
- Tracking configuration drift in cloud infrastructure
- Identifying resource exposure via public S3 buckets
- Monitoring for serverless function abuse
- Using cloud-native logging tools (CloudTrail, Azure Monitor)
- Correlating cloud and on-premise events
- Setting up detection for multi-cloud environments
- Implementing cloud workload protection platforms (CWPP)
Module 8: Threat Hunting Methodologies - Difference between proactive threat hunting and reactive investigation
- Hypothesis-driven hunting using adversary TTPs
- Data-driven hunting using anomaly detection
- Running scheduled hunts based on threat intelligence
- Using ATT&CK Navigator for hunt planning
- Documenting hunt findings and recommendations
- Integrating hunt results into detection rules
- Sharing hunting insights across teams
- Building a repeatable threat hunting calendar
- Leveraging automation for scalable hunting
Module 9: Incident Detection and Triage - Initial alert assessment: legitimacy and severity
- Using triage checklists for consistency
- Correlating multiple alerts to identify campaigns
- Identifying false positives and suppressing noise
- Assigning confidence levels to detections
- Escalation paths based on incident type
- Creating initial incident summaries
- Engaging stakeholders based on impact
- Using automation to accelerate triage
- Documenting decisions for audit and review
Module 10: Incident Response Lifecycle - Preparation: readiness checks and tooling
- Detection and analysis: validating threats
- Containment: short-term and long-term strategies
- Eradication: removing persistence mechanisms
- Recovery: restoring systems safely
- Post-incident review: lessons learned framework
- Communicating with legal, PR, and executive teams
- Reporting to regulators and law enforcement
- Updating detection rules based on incident data
- Improving response times through practice
Module 11: Digital Forensics and Evidence Collection - Chain of custody procedures for digital evidence
- Collecting volatile and non-volatile data
- Imaging hard drives and memory dumps
- Using forensic tools like FTK, Autopsy, and Volatility
- Timeline analysis for attack reconstruction
- Identifying malware artifacts and execution traces
- Extracting data from log files and event records
- Preserving evidence for legal proceedings
- Documenting findings in forensic reports
- Integrating forensics into incident response
Module 12: Malware Analysis Fundamentals - Static vs dynamic analysis techniques
- Identifying packed and obfuscated malware
- Analyzing suspicious file headers and metadata
- Running malware in isolated sandboxes
- Monitoring API calls and system interactions
- Extracting embedded URLs, IPs, and domains
- Generating YARA rules from malware samples
- Detecting polymorphic and metamorphic malware
- Reporting malware characteristics to threat intel platforms
- Using malware analysis to improve detection logic
Module 13: Automation and Orchestration (SOAR) - Introduction to Security Orchestration, Automation, and Response
- Building playbooks for common incident types
- Automating data enrichment from threat intel feeds
- Integrating SIEM, EDR, email, and firewall systems
- Automating containment actions with approval gates
- Using APIs for cross-platform communication
- Monitoring playbook performance and error rates
- Scaling response capabilities with automation
- Reducing mean time to respond (MTTR)
- Documenting automated processes for compliance
Module 14: Detection Tuning and Optimization - Measuring detection effectiveness with metrics
- Tracking mean time to detect (MTTD)
- Measuring false positive and false negative rates
- Using feedback loops from incident investigations
- Conducting periodic detection rule reviews
- Deprecating outdated or redundant rules
- Improving rule precision with additional context
- Aligning detection maturity with organizational growth
- Creating a detection improvement roadmap
- Leveraging peer reviews for rule quality
Module 15: Building a Threat Detection Playbook - Defining playbook structure and components
- Documenting detection logic and expected outputs
- Including triage checklists and escalation criteria
- Integrating response actions and owner assignments
- Version controlling playbook updates
- Mapping playbooks to MITRE ATT&CK techniques
- Testing playbooks against real incident data
- Training junior analysts using playbooks
- Sharing playbooks across teams
- Updating playbooks based on new threats
Module 16: Communication and Reporting for Leadership - Translating technical findings into business impact
- Creating executive summaries for CISO and board
- Designing incident dashboards and KPI tracking
- Reporting on detection coverage and gaps
- Presenting incident timelines clearly
- Quantifying risk reduction from detection improvements
- Using storytelling techniques in security reports
- Preparing for audit and compliance reporting
- Documenting response success and lessons learned
- Building trust through transparency and consistency
Module 17: Certification Project and Capstone - Selecting a real-world scenario for your project
- Developing a detection rule for a critical TTP
- Validating the rule against historical data
- Creating a triage and response workflow
- Documenting your methodology and assumptions
- Presenting findings in a standardized report format
- Receiving expert feedback from instructors
- Iterating based on review comments
- Submitting final deliverables for evaluation
- Earning your Certificate of Completion issued by The Art of Service
- Best practices for log normalization and parsing
- Configuring timestamp accuracy and time zone consistency
- Setting up reliable log forwarding agents
- Tuning data retention policies for detection needs
- Index optimization for performance and cost
- Creating custom fields and tags for faster triage
- Building reusable search macros and functions
- Setting up alert throttling and suppression
- Integrating third-party correlation engines
- Configuring role-based access control for SOC teams
Module 5: Endpoint Detection and Response (EDR) - Understanding telemetry from EDR agents
- Interpreting process creation, registry, and file modification events
- Detecting code injection and process hollowing
- Identifying suspicious PowerShell and WMI activity
- Monitoring for lateral movement via PsExec and WMI
- Using EDR for memory analysis and artifact collection
- Responding to endpoint alerts with containment actions
- Querying endpoints at scale for threat hunting
- Building custom EDR detection queries
- Validating EDR coverage across all critical systems
Module 6: Network-Based Detection Strategies - Analyzing netflow and packet capture data
- Detecting beaconing and C2 communication patterns
- Identifying DNS tunneling and data exfiltration
- Using network IPS for real-time blocking
- Monitoring encrypted traffic metadata for anomalies
- Identifying lateral movement over SMB and RDP
- Detecting port scanning and service enumeration
- Integrating proxy logs with network detection
- Mapping normal traffic patterns with baseline modeling
- Building network detection rules for zero-day indicators
Module 7: Cloud Security Monitoring - Key telemetry sources in AWS, Azure, and GCP
- Monitoring identity and access management (IAM) changes
- Detecting unauthorized API calls and credential misuse
- Tracking configuration drift in cloud infrastructure
- Identifying resource exposure via public S3 buckets
- Monitoring for serverless function abuse
- Using cloud-native logging tools (CloudTrail, Azure Monitor)
- Correlating cloud and on-premise events
- Setting up detection for multi-cloud environments
- Implementing cloud workload protection platforms (CWPP)
Module 8: Threat Hunting Methodologies - Difference between proactive threat hunting and reactive investigation
- Hypothesis-driven hunting using adversary TTPs
- Data-driven hunting using anomaly detection
- Running scheduled hunts based on threat intelligence
- Using ATT&CK Navigator for hunt planning
- Documenting hunt findings and recommendations
- Integrating hunt results into detection rules
- Sharing hunting insights across teams
- Building a repeatable threat hunting calendar
- Leveraging automation for scalable hunting
Module 9: Incident Detection and Triage - Initial alert assessment: legitimacy and severity
- Using triage checklists for consistency
- Correlating multiple alerts to identify campaigns
- Identifying false positives and suppressing noise
- Assigning confidence levels to detections
- Escalation paths based on incident type
- Creating initial incident summaries
- Engaging stakeholders based on impact
- Using automation to accelerate triage
- Documenting decisions for audit and review
Module 10: Incident Response Lifecycle - Preparation: readiness checks and tooling
- Detection and analysis: validating threats
- Containment: short-term and long-term strategies
- Eradication: removing persistence mechanisms
- Recovery: restoring systems safely
- Post-incident review: lessons learned framework
- Communicating with legal, PR, and executive teams
- Reporting to regulators and law enforcement
- Updating detection rules based on incident data
- Improving response times through practice
Module 11: Digital Forensics and Evidence Collection - Chain of custody procedures for digital evidence
- Collecting volatile and non-volatile data
- Imaging hard drives and memory dumps
- Using forensic tools like FTK, Autopsy, and Volatility
- Timeline analysis for attack reconstruction
- Identifying malware artifacts and execution traces
- Extracting data from log files and event records
- Preserving evidence for legal proceedings
- Documenting findings in forensic reports
- Integrating forensics into incident response
Module 12: Malware Analysis Fundamentals - Static vs dynamic analysis techniques
- Identifying packed and obfuscated malware
- Analyzing suspicious file headers and metadata
- Running malware in isolated sandboxes
- Monitoring API calls and system interactions
- Extracting embedded URLs, IPs, and domains
- Generating YARA rules from malware samples
- Detecting polymorphic and metamorphic malware
- Reporting malware characteristics to threat intel platforms
- Using malware analysis to improve detection logic
Module 13: Automation and Orchestration (SOAR) - Introduction to Security Orchestration, Automation, and Response
- Building playbooks for common incident types
- Automating data enrichment from threat intel feeds
- Integrating SIEM, EDR, email, and firewall systems
- Automating containment actions with approval gates
- Using APIs for cross-platform communication
- Monitoring playbook performance and error rates
- Scaling response capabilities with automation
- Reducing mean time to respond (MTTR)
- Documenting automated processes for compliance
Module 14: Detection Tuning and Optimization - Measuring detection effectiveness with metrics
- Tracking mean time to detect (MTTD)
- Measuring false positive and false negative rates
- Using feedback loops from incident investigations
- Conducting periodic detection rule reviews
- Deprecating outdated or redundant rules
- Improving rule precision with additional context
- Aligning detection maturity with organizational growth
- Creating a detection improvement roadmap
- Leveraging peer reviews for rule quality
Module 15: Building a Threat Detection Playbook - Defining playbook structure and components
- Documenting detection logic and expected outputs
- Including triage checklists and escalation criteria
- Integrating response actions and owner assignments
- Version controlling playbook updates
- Mapping playbooks to MITRE ATT&CK techniques
- Testing playbooks against real incident data
- Training junior analysts using playbooks
- Sharing playbooks across teams
- Updating playbooks based on new threats
Module 16: Communication and Reporting for Leadership - Translating technical findings into business impact
- Creating executive summaries for CISO and board
- Designing incident dashboards and KPI tracking
- Reporting on detection coverage and gaps
- Presenting incident timelines clearly
- Quantifying risk reduction from detection improvements
- Using storytelling techniques in security reports
- Preparing for audit and compliance reporting
- Documenting response success and lessons learned
- Building trust through transparency and consistency
Module 17: Certification Project and Capstone - Selecting a real-world scenario for your project
- Developing a detection rule for a critical TTP
- Validating the rule against historical data
- Creating a triage and response workflow
- Documenting your methodology and assumptions
- Presenting findings in a standardized report format
- Receiving expert feedback from instructors
- Iterating based on review comments
- Submitting final deliverables for evaluation
- Earning your Certificate of Completion issued by The Art of Service
- Analyzing netflow and packet capture data
- Detecting beaconing and C2 communication patterns
- Identifying DNS tunneling and data exfiltration
- Using network IPS for real-time blocking
- Monitoring encrypted traffic metadata for anomalies
- Identifying lateral movement over SMB and RDP
- Detecting port scanning and service enumeration
- Integrating proxy logs with network detection
- Mapping normal traffic patterns with baseline modeling
- Building network detection rules for zero-day indicators
Module 7: Cloud Security Monitoring - Key telemetry sources in AWS, Azure, and GCP
- Monitoring identity and access management (IAM) changes
- Detecting unauthorized API calls and credential misuse
- Tracking configuration drift in cloud infrastructure
- Identifying resource exposure via public S3 buckets
- Monitoring for serverless function abuse
- Using cloud-native logging tools (CloudTrail, Azure Monitor)
- Correlating cloud and on-premise events
- Setting up detection for multi-cloud environments
- Implementing cloud workload protection platforms (CWPP)
Module 8: Threat Hunting Methodologies - Difference between proactive threat hunting and reactive investigation
- Hypothesis-driven hunting using adversary TTPs
- Data-driven hunting using anomaly detection
- Running scheduled hunts based on threat intelligence
- Using ATT&CK Navigator for hunt planning
- Documenting hunt findings and recommendations
- Integrating hunt results into detection rules
- Sharing hunting insights across teams
- Building a repeatable threat hunting calendar
- Leveraging automation for scalable hunting
Module 9: Incident Detection and Triage - Initial alert assessment: legitimacy and severity
- Using triage checklists for consistency
- Correlating multiple alerts to identify campaigns
- Identifying false positives and suppressing noise
- Assigning confidence levels to detections
- Escalation paths based on incident type
- Creating initial incident summaries
- Engaging stakeholders based on impact
- Using automation to accelerate triage
- Documenting decisions for audit and review
Module 10: Incident Response Lifecycle - Preparation: readiness checks and tooling
- Detection and analysis: validating threats
- Containment: short-term and long-term strategies
- Eradication: removing persistence mechanisms
- Recovery: restoring systems safely
- Post-incident review: lessons learned framework
- Communicating with legal, PR, and executive teams
- Reporting to regulators and law enforcement
- Updating detection rules based on incident data
- Improving response times through practice
Module 11: Digital Forensics and Evidence Collection - Chain of custody procedures for digital evidence
- Collecting volatile and non-volatile data
- Imaging hard drives and memory dumps
- Using forensic tools like FTK, Autopsy, and Volatility
- Timeline analysis for attack reconstruction
- Identifying malware artifacts and execution traces
- Extracting data from log files and event records
- Preserving evidence for legal proceedings
- Documenting findings in forensic reports
- Integrating forensics into incident response
Module 12: Malware Analysis Fundamentals - Static vs dynamic analysis techniques
- Identifying packed and obfuscated malware
- Analyzing suspicious file headers and metadata
- Running malware in isolated sandboxes
- Monitoring API calls and system interactions
- Extracting embedded URLs, IPs, and domains
- Generating YARA rules from malware samples
- Detecting polymorphic and metamorphic malware
- Reporting malware characteristics to threat intel platforms
- Using malware analysis to improve detection logic
Module 13: Automation and Orchestration (SOAR) - Introduction to Security Orchestration, Automation, and Response
- Building playbooks for common incident types
- Automating data enrichment from threat intel feeds
- Integrating SIEM, EDR, email, and firewall systems
- Automating containment actions with approval gates
- Using APIs for cross-platform communication
- Monitoring playbook performance and error rates
- Scaling response capabilities with automation
- Reducing mean time to respond (MTTR)
- Documenting automated processes for compliance
Module 14: Detection Tuning and Optimization - Measuring detection effectiveness with metrics
- Tracking mean time to detect (MTTD)
- Measuring false positive and false negative rates
- Using feedback loops from incident investigations
- Conducting periodic detection rule reviews
- Deprecating outdated or redundant rules
- Improving rule precision with additional context
- Aligning detection maturity with organizational growth
- Creating a detection improvement roadmap
- Leveraging peer reviews for rule quality
Module 15: Building a Threat Detection Playbook - Defining playbook structure and components
- Documenting detection logic and expected outputs
- Including triage checklists and escalation criteria
- Integrating response actions and owner assignments
- Version controlling playbook updates
- Mapping playbooks to MITRE ATT&CK techniques
- Testing playbooks against real incident data
- Training junior analysts using playbooks
- Sharing playbooks across teams
- Updating playbooks based on new threats
Module 16: Communication and Reporting for Leadership - Translating technical findings into business impact
- Creating executive summaries for CISO and board
- Designing incident dashboards and KPI tracking
- Reporting on detection coverage and gaps
- Presenting incident timelines clearly
- Quantifying risk reduction from detection improvements
- Using storytelling techniques in security reports
- Preparing for audit and compliance reporting
- Documenting response success and lessons learned
- Building trust through transparency and consistency
Module 17: Certification Project and Capstone - Selecting a real-world scenario for your project
- Developing a detection rule for a critical TTP
- Validating the rule against historical data
- Creating a triage and response workflow
- Documenting your methodology and assumptions
- Presenting findings in a standardized report format
- Receiving expert feedback from instructors
- Iterating based on review comments
- Submitting final deliverables for evaluation
- Earning your Certificate of Completion issued by The Art of Service
- Difference between proactive threat hunting and reactive investigation
- Hypothesis-driven hunting using adversary TTPs
- Data-driven hunting using anomaly detection
- Running scheduled hunts based on threat intelligence
- Using ATT&CK Navigator for hunt planning
- Documenting hunt findings and recommendations
- Integrating hunt results into detection rules
- Sharing hunting insights across teams
- Building a repeatable threat hunting calendar
- Leveraging automation for scalable hunting
Module 9: Incident Detection and Triage - Initial alert assessment: legitimacy and severity
- Using triage checklists for consistency
- Correlating multiple alerts to identify campaigns
- Identifying false positives and suppressing noise
- Assigning confidence levels to detections
- Escalation paths based on incident type
- Creating initial incident summaries
- Engaging stakeholders based on impact
- Using automation to accelerate triage
- Documenting decisions for audit and review
Module 10: Incident Response Lifecycle - Preparation: readiness checks and tooling
- Detection and analysis: validating threats
- Containment: short-term and long-term strategies
- Eradication: removing persistence mechanisms
- Recovery: restoring systems safely
- Post-incident review: lessons learned framework
- Communicating with legal, PR, and executive teams
- Reporting to regulators and law enforcement
- Updating detection rules based on incident data
- Improving response times through practice
Module 11: Digital Forensics and Evidence Collection - Chain of custody procedures for digital evidence
- Collecting volatile and non-volatile data
- Imaging hard drives and memory dumps
- Using forensic tools like FTK, Autopsy, and Volatility
- Timeline analysis for attack reconstruction
- Identifying malware artifacts and execution traces
- Extracting data from log files and event records
- Preserving evidence for legal proceedings
- Documenting findings in forensic reports
- Integrating forensics into incident response
Module 12: Malware Analysis Fundamentals - Static vs dynamic analysis techniques
- Identifying packed and obfuscated malware
- Analyzing suspicious file headers and metadata
- Running malware in isolated sandboxes
- Monitoring API calls and system interactions
- Extracting embedded URLs, IPs, and domains
- Generating YARA rules from malware samples
- Detecting polymorphic and metamorphic malware
- Reporting malware characteristics to threat intel platforms
- Using malware analysis to improve detection logic
Module 13: Automation and Orchestration (SOAR) - Introduction to Security Orchestration, Automation, and Response
- Building playbooks for common incident types
- Automating data enrichment from threat intel feeds
- Integrating SIEM, EDR, email, and firewall systems
- Automating containment actions with approval gates
- Using APIs for cross-platform communication
- Monitoring playbook performance and error rates
- Scaling response capabilities with automation
- Reducing mean time to respond (MTTR)
- Documenting automated processes for compliance
Module 14: Detection Tuning and Optimization - Measuring detection effectiveness with metrics
- Tracking mean time to detect (MTTD)
- Measuring false positive and false negative rates
- Using feedback loops from incident investigations
- Conducting periodic detection rule reviews
- Deprecating outdated or redundant rules
- Improving rule precision with additional context
- Aligning detection maturity with organizational growth
- Creating a detection improvement roadmap
- Leveraging peer reviews for rule quality
Module 15: Building a Threat Detection Playbook - Defining playbook structure and components
- Documenting detection logic and expected outputs
- Including triage checklists and escalation criteria
- Integrating response actions and owner assignments
- Version controlling playbook updates
- Mapping playbooks to MITRE ATT&CK techniques
- Testing playbooks against real incident data
- Training junior analysts using playbooks
- Sharing playbooks across teams
- Updating playbooks based on new threats
Module 16: Communication and Reporting for Leadership - Translating technical findings into business impact
- Creating executive summaries for CISO and board
- Designing incident dashboards and KPI tracking
- Reporting on detection coverage and gaps
- Presenting incident timelines clearly
- Quantifying risk reduction from detection improvements
- Using storytelling techniques in security reports
- Preparing for audit and compliance reporting
- Documenting response success and lessons learned
- Building trust through transparency and consistency
Module 17: Certification Project and Capstone - Selecting a real-world scenario for your project
- Developing a detection rule for a critical TTP
- Validating the rule against historical data
- Creating a triage and response workflow
- Documenting your methodology and assumptions
- Presenting findings in a standardized report format
- Receiving expert feedback from instructors
- Iterating based on review comments
- Submitting final deliverables for evaluation
- Earning your Certificate of Completion issued by The Art of Service
- Preparation: readiness checks and tooling
- Detection and analysis: validating threats
- Containment: short-term and long-term strategies
- Eradication: removing persistence mechanisms
- Recovery: restoring systems safely
- Post-incident review: lessons learned framework
- Communicating with legal, PR, and executive teams
- Reporting to regulators and law enforcement
- Updating detection rules based on incident data
- Improving response times through practice
Module 11: Digital Forensics and Evidence Collection - Chain of custody procedures for digital evidence
- Collecting volatile and non-volatile data
- Imaging hard drives and memory dumps
- Using forensic tools like FTK, Autopsy, and Volatility
- Timeline analysis for attack reconstruction
- Identifying malware artifacts and execution traces
- Extracting data from log files and event records
- Preserving evidence for legal proceedings
- Documenting findings in forensic reports
- Integrating forensics into incident response
Module 12: Malware Analysis Fundamentals - Static vs dynamic analysis techniques
- Identifying packed and obfuscated malware
- Analyzing suspicious file headers and metadata
- Running malware in isolated sandboxes
- Monitoring API calls and system interactions
- Extracting embedded URLs, IPs, and domains
- Generating YARA rules from malware samples
- Detecting polymorphic and metamorphic malware
- Reporting malware characteristics to threat intel platforms
- Using malware analysis to improve detection logic
Module 13: Automation and Orchestration (SOAR) - Introduction to Security Orchestration, Automation, and Response
- Building playbooks for common incident types
- Automating data enrichment from threat intel feeds
- Integrating SIEM, EDR, email, and firewall systems
- Automating containment actions with approval gates
- Using APIs for cross-platform communication
- Monitoring playbook performance and error rates
- Scaling response capabilities with automation
- Reducing mean time to respond (MTTR)
- Documenting automated processes for compliance
Module 14: Detection Tuning and Optimization - Measuring detection effectiveness with metrics
- Tracking mean time to detect (MTTD)
- Measuring false positive and false negative rates
- Using feedback loops from incident investigations
- Conducting periodic detection rule reviews
- Deprecating outdated or redundant rules
- Improving rule precision with additional context
- Aligning detection maturity with organizational growth
- Creating a detection improvement roadmap
- Leveraging peer reviews for rule quality
Module 15: Building a Threat Detection Playbook - Defining playbook structure and components
- Documenting detection logic and expected outputs
- Including triage checklists and escalation criteria
- Integrating response actions and owner assignments
- Version controlling playbook updates
- Mapping playbooks to MITRE ATT&CK techniques
- Testing playbooks against real incident data
- Training junior analysts using playbooks
- Sharing playbooks across teams
- Updating playbooks based on new threats
Module 16: Communication and Reporting for Leadership - Translating technical findings into business impact
- Creating executive summaries for CISO and board
- Designing incident dashboards and KPI tracking
- Reporting on detection coverage and gaps
- Presenting incident timelines clearly
- Quantifying risk reduction from detection improvements
- Using storytelling techniques in security reports
- Preparing for audit and compliance reporting
- Documenting response success and lessons learned
- Building trust through transparency and consistency
Module 17: Certification Project and Capstone - Selecting a real-world scenario for your project
- Developing a detection rule for a critical TTP
- Validating the rule against historical data
- Creating a triage and response workflow
- Documenting your methodology and assumptions
- Presenting findings in a standardized report format
- Receiving expert feedback from instructors
- Iterating based on review comments
- Submitting final deliverables for evaluation
- Earning your Certificate of Completion issued by The Art of Service
- Static vs dynamic analysis techniques
- Identifying packed and obfuscated malware
- Analyzing suspicious file headers and metadata
- Running malware in isolated sandboxes
- Monitoring API calls and system interactions
- Extracting embedded URLs, IPs, and domains
- Generating YARA rules from malware samples
- Detecting polymorphic and metamorphic malware
- Reporting malware characteristics to threat intel platforms
- Using malware analysis to improve detection logic
Module 13: Automation and Orchestration (SOAR) - Introduction to Security Orchestration, Automation, and Response
- Building playbooks for common incident types
- Automating data enrichment from threat intel feeds
- Integrating SIEM, EDR, email, and firewall systems
- Automating containment actions with approval gates
- Using APIs for cross-platform communication
- Monitoring playbook performance and error rates
- Scaling response capabilities with automation
- Reducing mean time to respond (MTTR)
- Documenting automated processes for compliance
Module 14: Detection Tuning and Optimization - Measuring detection effectiveness with metrics
- Tracking mean time to detect (MTTD)
- Measuring false positive and false negative rates
- Using feedback loops from incident investigations
- Conducting periodic detection rule reviews
- Deprecating outdated or redundant rules
- Improving rule precision with additional context
- Aligning detection maturity with organizational growth
- Creating a detection improvement roadmap
- Leveraging peer reviews for rule quality
Module 15: Building a Threat Detection Playbook - Defining playbook structure and components
- Documenting detection logic and expected outputs
- Including triage checklists and escalation criteria
- Integrating response actions and owner assignments
- Version controlling playbook updates
- Mapping playbooks to MITRE ATT&CK techniques
- Testing playbooks against real incident data
- Training junior analysts using playbooks
- Sharing playbooks across teams
- Updating playbooks based on new threats
Module 16: Communication and Reporting for Leadership - Translating technical findings into business impact
- Creating executive summaries for CISO and board
- Designing incident dashboards and KPI tracking
- Reporting on detection coverage and gaps
- Presenting incident timelines clearly
- Quantifying risk reduction from detection improvements
- Using storytelling techniques in security reports
- Preparing for audit and compliance reporting
- Documenting response success and lessons learned
- Building trust through transparency and consistency
Module 17: Certification Project and Capstone - Selecting a real-world scenario for your project
- Developing a detection rule for a critical TTP
- Validating the rule against historical data
- Creating a triage and response workflow
- Documenting your methodology and assumptions
- Presenting findings in a standardized report format
- Receiving expert feedback from instructors
- Iterating based on review comments
- Submitting final deliverables for evaluation
- Earning your Certificate of Completion issued by The Art of Service
- Measuring detection effectiveness with metrics
- Tracking mean time to detect (MTTD)
- Measuring false positive and false negative rates
- Using feedback loops from incident investigations
- Conducting periodic detection rule reviews
- Deprecating outdated or redundant rules
- Improving rule precision with additional context
- Aligning detection maturity with organizational growth
- Creating a detection improvement roadmap
- Leveraging peer reviews for rule quality
Module 15: Building a Threat Detection Playbook - Defining playbook structure and components
- Documenting detection logic and expected outputs
- Including triage checklists and escalation criteria
- Integrating response actions and owner assignments
- Version controlling playbook updates
- Mapping playbooks to MITRE ATT&CK techniques
- Testing playbooks against real incident data
- Training junior analysts using playbooks
- Sharing playbooks across teams
- Updating playbooks based on new threats
Module 16: Communication and Reporting for Leadership - Translating technical findings into business impact
- Creating executive summaries for CISO and board
- Designing incident dashboards and KPI tracking
- Reporting on detection coverage and gaps
- Presenting incident timelines clearly
- Quantifying risk reduction from detection improvements
- Using storytelling techniques in security reports
- Preparing for audit and compliance reporting
- Documenting response success and lessons learned
- Building trust through transparency and consistency
Module 17: Certification Project and Capstone - Selecting a real-world scenario for your project
- Developing a detection rule for a critical TTP
- Validating the rule against historical data
- Creating a triage and response workflow
- Documenting your methodology and assumptions
- Presenting findings in a standardized report format
- Receiving expert feedback from instructors
- Iterating based on review comments
- Submitting final deliverables for evaluation
- Earning your Certificate of Completion issued by The Art of Service
- Translating technical findings into business impact
- Creating executive summaries for CISO and board
- Designing incident dashboards and KPI tracking
- Reporting on detection coverage and gaps
- Presenting incident timelines clearly
- Quantifying risk reduction from detection improvements
- Using storytelling techniques in security reports
- Preparing for audit and compliance reporting
- Documenting response success and lessons learned
- Building trust through transparency and consistency