Advanced Threat Hunting in the AI-Driven Cybersecurity Landscape
You’re under pressure. Every day, threats evolve faster than your detection rules can keep up. You're not just defending systems-you're fighting AI-powered adversaries who adapt in real time. Legacy tools generate noise, not answers. And your team expects visibility, not just alerts. You’ve attended trainings before. But they taught theory, not execution. They didn’t give you a framework to cut through the clutter or a repeatable method to find what’s hiding in plain sight. You need more than SIEM queries. You need Advanced Threat Hunting in the AI-Driven Cybersecurity Landscape. This isn’t about chasing alerts. It’s about proactively discovering malicious patterns before they escalate. It’s about mastering detection logic that scales with AI, not against it. This course delivers a clear path: from reactive analyst to predictive hunter-armed with battle-tested methodologies, AI integration blueprints, and a board-ready threat hunting maturity roadmap in just 30 days. Marco R., Senior SOC Lead at a Fortune 500 financial services firm, used this exact framework to redesign his team’s hunting program. Within six weeks, his unit reduced dwell time by 82% and uncovered a long-term credential harvesting campaign that bypassed all EDR solutions. His director called it “the most impactful security initiative we’ve launched this year.” Unlike generic cybersecurity training, this program is laser-focused on outcomes. You’ll walk away with not just knowledge, but assets: custom detection playbooks, AI-augmented hypothesis templates, and a certified methodology endorsed by The Art of Service-globally recognised in enterprise risk and compliance circles. Here’s how this course is structured to help you get there.Course Format & Delivery Details Fully Self-Paced with Immediate Online Access
The Advanced Threat Hunting in the AI-Driven Cybersecurity Landscape course is designed for working professionals. There are no fixed start dates, deadlines, or scheduled sessions. Once enrolled, you gain secure online access to all materials and can begin immediately-on your terms, at your pace. Most learners complete the core curriculum in 8–12 hours of focused engagement. However, you can progress faster-many experienced hunters apply targeted modules in under 48 hours to solve pressing incidents. Real results begin in under a week. Lifetime Access and Continuous Updates
Your enrollment includes permanent access to all course content. No expiration. No re-subscription. You’ll also receive all future updates at no additional cost-including new threat intelligence models, AI detection patterns, and evolving adversarial techniques-ensuring your skills remain ahead of the curve for years to come. Global, Mobile-Friendly Access
Learn from any device, anywhere in the world. The platform is optimised for desktops, tablets, and mobile browsers. Study during transit, between shifts, or at home-without friction. Your progress syncs automatically across devices, with built-in tracking and completion markers. Expert-Led, Not Automated
This course is developed and maintained by senior threat hunters with active roles in global incident response and cyber intelligence units. You receive direct insight-not generic content. While the course is self-paced, registered learners have access to live instructor Q&A channels where questions are reviewed and answered weekly by our certified mentors. Certificate of Completion Issued by The Art of Service
Upon finishing the course, you’ll earn a Certificate of Completion issued by The Art of Service-an independent authority in high-impact, outcome-driven professional education. This certification is recognised by employers across financial services, healthcare, energy, and government sectors. It validates structured mastery of AI-powered threat hunting and is shareable on LinkedIn and in job applications. Transparent Pricing, No Hidden Fees
The price includes everything-curriculum, tools, templates, updates, and certification. No upsells. No add-ons. No surprise charges. You pay once and own it forever. We accept all major payment methods, including Visa, Mastercard, and PayPal, with secure, encrypted checkout. Transactions are processed globally without region-based restrictions. Zero-Risk Enrollment: Satisfied or Refunded
We stand behind the value of this course with a full satisfaction guarantee. If you complete the first two modules and feel the content does not meet your expectations for depth, clarity, or practical utility, contact support for a prompt refund. No questions. No hassle. Confirming Your Success from Day One
After enrollment, you’ll receive an automated confirmation email. Access to your course dashboard and materials is provided separately once your registration is fully verified-ensuring secure and accurate provisioning for every learner. “Will this work for me?” Absolutely. This program is built for practitioners, not theorists. It works even if: - You’re new to AI integration in security operations
- Your environment uses legacy detection tools
- You work in a highly regulated industry with strict compliance demands
- You’re not a data scientist but need to leverage machine learning outputs
- Your team lacks mature hunting workflows or automation
With step-by-step templates, role-specific checklists, and real-world simulations, this course adapts to your context. You’re not just learning-you’re implementing. Risk is eliminated. Value begins immediately.
Module 1: Foundations of AI-Enhanced Threat Hunting - The evolving threat landscape in the age of adversarial AI
- Why traditional detection fails against polymorphic attacks
- Distinguishing between threat detection, monitoring, and proactive hunting
- Core principles of hypothesis-driven hunting
- The four-phase threat hunting lifecycle: Plan, Detect, Investigate, Respond
- Understanding attacker kill chains in cloud-native environments
- Mapping MITRE ATT&CK to hunting strategies
- Integrating MITRE D3FEND for countermeasure alignment
- Defining hunting maturity: from ad hoc to automated
- Setting measurable objectives for hunting programs
- The role of data quality in detection efficacy
- Prerequisites for AI-driven hunting: logs, telemetry, and enrichment
- Building a data readiness assessment framework
- Evaluating your organisation’s current hunting maturity level
- Creating a baseline threat profile for your environment
- Establishing metrics that matter: dwell time, TTP coverage, false positive rate
Module 2: AI and Machine Learning in Cyber Threat Hunting - Demystifying AI in cybersecurity: what it can and cannot do
- Difference between supervised, unsupervised, and semi-supervised learning
- Using clustering algorithms to detect anomalous user behaviour
- Applying anomaly detection models to network traffic patterns
- How autoencoders identify deviations in system telemetry
- Training datasets: sourcing, labelling, and version control
- Feature engineering for security telemetry
- Reducing dimensionality using PCA in log data analysis
- Interpreting model outputs without a data science degree
- Understanding model drift and its operational impact
- Detecting adversarial machine learning attacks
- Defending detection models against evasion techniques
- Using SHAP values to explain AI alerts
- Building trust in AI recommendations through transparency
- Validating AI-generated hypotheses with empirical evidence
- Integrating ML outputs into existing SOC workflows
- Case study: uncovering living-off-the-land attacks with AI clustering
Module 3: Building AI-Augmented Hunting Hypotheses - From intuition to structured hypothesis creation
- The H-statements framework: defining high-probability threats
- Leveraging threat intelligence to inform initial hypotheses
- Using ATT&CK Navigator to map adversary behaviour
- Generating hypotheses from AI anomaly clusters
- Creating time-bound, falsifiable hunting propositions
- Scoring hypotheses by likelihood and business impact
- Prioritising hunting initiatives using risk-based matrices
- Integrating business context into hypothesis design
- Identifying gaps in visibility that enable blind spots
- Hypothesis refinement through iterative validation
- Documenting assumptions and data limitations
- Collaborative hypothesis development across teams
- Tools for visualising and sharing hypothesis pipelines
- Automating hypothesis suggestion using natural language processing
- Case study: detecting insider threats using behavioural baselines
Module 4: Data Engineering for Threat Hunting - Essential data sources for comprehensive visibility
- Endpoint telemetry: process creation, file changes, registry modifications
- Network metadata: NetFlow, Zeek logs, DNS query patterns
- Authentication logs: lateral movement indicators and access anomalies
- Cloud platform logs: AWS CloudTrail, Azure Activity Log, GCP Audit Logs
- API security logs: identifying abuse patterns in service accounts
- Data normalisation using CEF, LEEF, and custom schemas
- Enriching raw logs with threat intelligence feeds
- Geo-locating IP addresses for targeted analysis
- Adding asset criticality tags for risk-aware filtering
- Building a centralised data lake for hunting queries
- Schema design for high-performance hunting databases
- Indexing strategies for rapid pattern retrieval
- Managing data retention and compliance requirements
- Evaluating open source vs commercial data platforms
- Practical lab: building a minimal telemetry pipeline
Module 5: Advanced Querying and Pattern Detection - Mastery of KQL (Kusto Query Language) for hunting
- Using Splunk SPL for complex event correlation
- Writing efficient Elasticsearch queries for large datasets
- Pattern matching with regular expressions in log analysis
- Identifying command-line obfuscation techniques
- Detecting PowerShell misuse and encoded commands
- Spotting living-off-the-land binaries (LOLBins)
- Analysing Windows Event ID correlations for privilege escalation
- Query optimisation: avoiding timeouts and resource exhaustion
- Developing reusable query templates for common TTPs
- Building custom parsers for unstructured logs
- Creating detection logic maps for team knowledge sharing
- Version control for detection rules using Git
- Testing queries against historical breach datasets
- Case study: detecting Pass-the-Hash attacks in hybrid environments
- Automating query execution with scheduled searches
Module 6: AI-Powered Anomaly Detection Techniques - Establishing behavioural baselines for users and hosts
- Using moving averages and standard deviations for thresholding
- Implementing exponentially weighted moving averages (EWMA)
- Detecting outlier processes with z-score analysis
- Identifying abnormal login times and locations
- Modelling peer group analysis for account deviation
- Analysing file access patterns for data exfiltration signs
- Detecting atypical port usage with entropy analysis
- Using Benford’s Law to uncover fraudulent log entries
- Identifying encrypted tunneling through DNS anomalies
- Spotting beaconing behaviour in C2 communications
- Applying change point detection to network flows
- Clustering similar attack patterns using K-means
- Visualising anomaly scores over time for trend analysis
- Reducing false positives through contextual filtering
- Integrating anomaly results into hunting workflows
Module 7: Automated Hunting Workflows - Designing repeatable hunting playbooks
- Structuring playbooks: objective, data sources, queries, outcome
- Version controlling playbooks for team collaboration
- Automating routine hunts using script templates
- Scheduling periodic execution with cron and task runners
- Building a centralised playbook repository
- Tagging playbooks by ATT&CK technique and severity
- Measuring playbook effectiveness over time
- Integrating playbooks with SOAR platforms
- Triggering automated hunts based on external alerts
- Using YAML for declarative playbook definition
- Creating branching logic for dynamic investigation paths
- Documenting findings and generating reports automatically
- Sharing results with stakeholders in digestible formats
- Using CI/CD pipelines to test and deploy detection logic
- Case study: automating lateral movement detection across 10K endpoints
Module 8: Threat Intelligence Integration - Differentiating between strategic, tactical, and operational intelligence
- Leveraging OSINT for emerging threat awareness
- Using MISP for structured threat data sharing
- Integrating STIX/TAXII feeds into detection systems
- Mapping IOCs to your environment for situational relevance
- Detecting known malicious IPs, domains, and hashes
- Enriching alerts with context from threat reports
- Building custom intelligence dashboards
- Automating IOC ingestion with API integrations
- Evaluating the reliability of intelligence sources
- Creating internal threat bulletins for team awareness
- Using threat actor profiles to anticipate next moves
- Linking campaigns to TTPs in your hunting hypotheses
- Conducting threat landscape assessments quarterly
- Sharing insights with external ISACs and peer groups
- Case study: stopping a ransomware variant 48 hours before deployment
Module 9: Cloud-Native Threat Hunting - Unique challenges in public cloud security monitoring
- Understanding shared responsibility models
- Monitoring identity and access management changes
- Detecting privilege escalation in IAM policies
- Analysing role assumption events for misuse
- Tracking configuration drift in cloud resources
- Detecting public S3 bucket exposures
- Identifying unauthorised API gateway usage
- Hunting for container breakout attempts
- Monitoring Kubernetes audit logs for anomalous access
- Detecting serverless function abuse
- Analysing VPC flow logs for lateral movement
- Spotting workload identity token theft
- Building cloud-specific detection rules
- Integrating CSPM findings into hunting workflows
- Case study: detecting cloud crypto-mining pivot from misconfigured IAM
Module 10: Operationalising AI in the SOC - Getting started without a dedicated AI team
- Starting small: pilot projects with high visibility
- Choosing your first AI use case for hunting
- Selecting tools with built-in ML capabilities
- Integrating third-party ML models via APIs
- Building feedback loops from SOC analysts to model training
- Creating model validation reports for leadership
- Communicating AI limitations to non-technical stakeholders
- Establishing governance for AI model usage
- Conducting model audits for bias and accuracy
- Managing model versioning and deprecation
- Documenting decision logic for compliance audits
- Aligning AI initiatives with NIST AI Risk Management Framework
- Training analysts to interpret and challenge AI outputs
- Scaling AI use cases across multiple domains
- Case study: deploying ML to prioritise 10K daily alerts down to 15 high-fidelity incidents
Module 11: Cross-Environment Hunting Strategies - Hunting across hybrid on-prem and cloud environments
- Synchronising time stamps and log formats
- Correlating events across Active Directory and Azure AD
- Detecting identity federation compromises
- Investigating lateral movement between data centres
- Analysing email gateway logs with endpoint data
- Linking phishing campaigns to post-compromise actions
- Uncovering supply chain compromises through software signing anomalies
- Hunting for compromised service accounts in multi-domain forests
- Detecting rogue devices connecting to corporate networks
- Tracking adversary movement across OT and IT networks
- Using asset inventories to prioritise investigative focus
- Building cross-platform attack timelines
- Developing organisation-specific detection logic
- Creating unified visibility dashboards
- Case study: tracing a breach from a phishing email to domain dominance
Module 12: Adversarial Tactics and Evasion Detection - Understanding common evasion techniques used by threat actors
- Detecting OS process injection and hollowing
- Identifying API unhooking and hooking bypasses
- Spotting direct syscalls and NTDLL unhooking
- Recognising data staging and exfiltration patterns
- Detecting credential dumping with LSASS access monitoring
- Identifying pass-the-ticket and Kerberos abuse
- Tracking registry persistence mechanisms
- Detecting stealthy scheduled tasks and WMI event filters
- Analysing PowerShell proxy execution techniques
- Spotting DLL sideloading and signature spoofing
- Detecting tunnelling through legitimate services
- Identifying encrypted C2 channels using entropy analysis
- Using memory forensic indicators to detect fileless malware
- Reconstructing attack sequences from fragmented logs
- Case study: uncovering a zero-day exploit using behavioural deviation
Module 13: Proactive Hunting in Real-World Scenarios - Simulated environment for hands-on hunting practice
- Step-by-step walkthrough of a realistic breach scenario
- Hunting for initial access via phishing and credential theft
- Identifying lateral movement using log correlation
- Detecting privilege escalation attempts
- Tracking persistence mechanisms across systems
- Uncovering data staging activities
- Detecting exfiltration over DNS and HTTPS
- Reconstructing attacker timeline from fragmented telemetry
- Writing detection rules to prevent recurrence
- Generating incident reports for management
- Presenting findings to a mock executive board
- Developing a remediation and hardening plan
- Updating threat models based on lessons learned
- Measuring improvement in detection capabilities
- Case study: full-cycle hunt from hypothesis to containment
Module 14: Building a Threat Hunting Program - Defining the mission and scope of your hunting unit
- Securing executive sponsorship and funding
- Staffing: solo hunter vs team structures
- Determining required tools and budget
- Creating a quarterly hunting roadmap
- Integrating hunting into broader security operations
- Establishing reporting cadence and metrics
- Conducting regular peer review of hunting activities
- Developing training plans for new hunters
- Building a knowledge base of TTPs and detections
- Creating a culture of continuous improvement
- Aligning with incident response and forensics teams
- Presenting value to leadership with ROI metrics
- Scaling the program with automation and AI
- Case study: launching a successful hunting program in a mid-sized enterprise
- Template: Threat hunting charter document
Module 15: Certification and Next Steps - Completing the final assessment: applied threat hunting exam
- Reviewing key concepts and decision-making frameworks
- Submitting your custom hunting playbook for evaluation
- Receiving expert feedback on your methodology
- Earning your Certificate of Completion from The Art of Service
- Adding the certification to your LinkedIn profile
- Networking with certified peers in the alumni community
- Accessing exclusive job boards and career support
- Joining advanced workshops and update briefings
- Continuing education paths in adversarial simulation and red teaming
- Staying current with monthly threat intelligence updates
- Participating in live peer review sessions
- Contributing to open source detection rule repositories
- Preparing for advanced certifications (e.g. OSCP, GXHUNT)
- Advancing to leadership roles in cyber defence operations
- Template: Personal development plan for threat hunters
- The evolving threat landscape in the age of adversarial AI
- Why traditional detection fails against polymorphic attacks
- Distinguishing between threat detection, monitoring, and proactive hunting
- Core principles of hypothesis-driven hunting
- The four-phase threat hunting lifecycle: Plan, Detect, Investigate, Respond
- Understanding attacker kill chains in cloud-native environments
- Mapping MITRE ATT&CK to hunting strategies
- Integrating MITRE D3FEND for countermeasure alignment
- Defining hunting maturity: from ad hoc to automated
- Setting measurable objectives for hunting programs
- The role of data quality in detection efficacy
- Prerequisites for AI-driven hunting: logs, telemetry, and enrichment
- Building a data readiness assessment framework
- Evaluating your organisation’s current hunting maturity level
- Creating a baseline threat profile for your environment
- Establishing metrics that matter: dwell time, TTP coverage, false positive rate
Module 2: AI and Machine Learning in Cyber Threat Hunting - Demystifying AI in cybersecurity: what it can and cannot do
- Difference between supervised, unsupervised, and semi-supervised learning
- Using clustering algorithms to detect anomalous user behaviour
- Applying anomaly detection models to network traffic patterns
- How autoencoders identify deviations in system telemetry
- Training datasets: sourcing, labelling, and version control
- Feature engineering for security telemetry
- Reducing dimensionality using PCA in log data analysis
- Interpreting model outputs without a data science degree
- Understanding model drift and its operational impact
- Detecting adversarial machine learning attacks
- Defending detection models against evasion techniques
- Using SHAP values to explain AI alerts
- Building trust in AI recommendations through transparency
- Validating AI-generated hypotheses with empirical evidence
- Integrating ML outputs into existing SOC workflows
- Case study: uncovering living-off-the-land attacks with AI clustering
Module 3: Building AI-Augmented Hunting Hypotheses - From intuition to structured hypothesis creation
- The H-statements framework: defining high-probability threats
- Leveraging threat intelligence to inform initial hypotheses
- Using ATT&CK Navigator to map adversary behaviour
- Generating hypotheses from AI anomaly clusters
- Creating time-bound, falsifiable hunting propositions
- Scoring hypotheses by likelihood and business impact
- Prioritising hunting initiatives using risk-based matrices
- Integrating business context into hypothesis design
- Identifying gaps in visibility that enable blind spots
- Hypothesis refinement through iterative validation
- Documenting assumptions and data limitations
- Collaborative hypothesis development across teams
- Tools for visualising and sharing hypothesis pipelines
- Automating hypothesis suggestion using natural language processing
- Case study: detecting insider threats using behavioural baselines
Module 4: Data Engineering for Threat Hunting - Essential data sources for comprehensive visibility
- Endpoint telemetry: process creation, file changes, registry modifications
- Network metadata: NetFlow, Zeek logs, DNS query patterns
- Authentication logs: lateral movement indicators and access anomalies
- Cloud platform logs: AWS CloudTrail, Azure Activity Log, GCP Audit Logs
- API security logs: identifying abuse patterns in service accounts
- Data normalisation using CEF, LEEF, and custom schemas
- Enriching raw logs with threat intelligence feeds
- Geo-locating IP addresses for targeted analysis
- Adding asset criticality tags for risk-aware filtering
- Building a centralised data lake for hunting queries
- Schema design for high-performance hunting databases
- Indexing strategies for rapid pattern retrieval
- Managing data retention and compliance requirements
- Evaluating open source vs commercial data platforms
- Practical lab: building a minimal telemetry pipeline
Module 5: Advanced Querying and Pattern Detection - Mastery of KQL (Kusto Query Language) for hunting
- Using Splunk SPL for complex event correlation
- Writing efficient Elasticsearch queries for large datasets
- Pattern matching with regular expressions in log analysis
- Identifying command-line obfuscation techniques
- Detecting PowerShell misuse and encoded commands
- Spotting living-off-the-land binaries (LOLBins)
- Analysing Windows Event ID correlations for privilege escalation
- Query optimisation: avoiding timeouts and resource exhaustion
- Developing reusable query templates for common TTPs
- Building custom parsers for unstructured logs
- Creating detection logic maps for team knowledge sharing
- Version control for detection rules using Git
- Testing queries against historical breach datasets
- Case study: detecting Pass-the-Hash attacks in hybrid environments
- Automating query execution with scheduled searches
Module 6: AI-Powered Anomaly Detection Techniques - Establishing behavioural baselines for users and hosts
- Using moving averages and standard deviations for thresholding
- Implementing exponentially weighted moving averages (EWMA)
- Detecting outlier processes with z-score analysis
- Identifying abnormal login times and locations
- Modelling peer group analysis for account deviation
- Analysing file access patterns for data exfiltration signs
- Detecting atypical port usage with entropy analysis
- Using Benford’s Law to uncover fraudulent log entries
- Identifying encrypted tunneling through DNS anomalies
- Spotting beaconing behaviour in C2 communications
- Applying change point detection to network flows
- Clustering similar attack patterns using K-means
- Visualising anomaly scores over time for trend analysis
- Reducing false positives through contextual filtering
- Integrating anomaly results into hunting workflows
Module 7: Automated Hunting Workflows - Designing repeatable hunting playbooks
- Structuring playbooks: objective, data sources, queries, outcome
- Version controlling playbooks for team collaboration
- Automating routine hunts using script templates
- Scheduling periodic execution with cron and task runners
- Building a centralised playbook repository
- Tagging playbooks by ATT&CK technique and severity
- Measuring playbook effectiveness over time
- Integrating playbooks with SOAR platforms
- Triggering automated hunts based on external alerts
- Using YAML for declarative playbook definition
- Creating branching logic for dynamic investigation paths
- Documenting findings and generating reports automatically
- Sharing results with stakeholders in digestible formats
- Using CI/CD pipelines to test and deploy detection logic
- Case study: automating lateral movement detection across 10K endpoints
Module 8: Threat Intelligence Integration - Differentiating between strategic, tactical, and operational intelligence
- Leveraging OSINT for emerging threat awareness
- Using MISP for structured threat data sharing
- Integrating STIX/TAXII feeds into detection systems
- Mapping IOCs to your environment for situational relevance
- Detecting known malicious IPs, domains, and hashes
- Enriching alerts with context from threat reports
- Building custom intelligence dashboards
- Automating IOC ingestion with API integrations
- Evaluating the reliability of intelligence sources
- Creating internal threat bulletins for team awareness
- Using threat actor profiles to anticipate next moves
- Linking campaigns to TTPs in your hunting hypotheses
- Conducting threat landscape assessments quarterly
- Sharing insights with external ISACs and peer groups
- Case study: stopping a ransomware variant 48 hours before deployment
Module 9: Cloud-Native Threat Hunting - Unique challenges in public cloud security monitoring
- Understanding shared responsibility models
- Monitoring identity and access management changes
- Detecting privilege escalation in IAM policies
- Analysing role assumption events for misuse
- Tracking configuration drift in cloud resources
- Detecting public S3 bucket exposures
- Identifying unauthorised API gateway usage
- Hunting for container breakout attempts
- Monitoring Kubernetes audit logs for anomalous access
- Detecting serverless function abuse
- Analysing VPC flow logs for lateral movement
- Spotting workload identity token theft
- Building cloud-specific detection rules
- Integrating CSPM findings into hunting workflows
- Case study: detecting cloud crypto-mining pivot from misconfigured IAM
Module 10: Operationalising AI in the SOC - Getting started without a dedicated AI team
- Starting small: pilot projects with high visibility
- Choosing your first AI use case for hunting
- Selecting tools with built-in ML capabilities
- Integrating third-party ML models via APIs
- Building feedback loops from SOC analysts to model training
- Creating model validation reports for leadership
- Communicating AI limitations to non-technical stakeholders
- Establishing governance for AI model usage
- Conducting model audits for bias and accuracy
- Managing model versioning and deprecation
- Documenting decision logic for compliance audits
- Aligning AI initiatives with NIST AI Risk Management Framework
- Training analysts to interpret and challenge AI outputs
- Scaling AI use cases across multiple domains
- Case study: deploying ML to prioritise 10K daily alerts down to 15 high-fidelity incidents
Module 11: Cross-Environment Hunting Strategies - Hunting across hybrid on-prem and cloud environments
- Synchronising time stamps and log formats
- Correlating events across Active Directory and Azure AD
- Detecting identity federation compromises
- Investigating lateral movement between data centres
- Analysing email gateway logs with endpoint data
- Linking phishing campaigns to post-compromise actions
- Uncovering supply chain compromises through software signing anomalies
- Hunting for compromised service accounts in multi-domain forests
- Detecting rogue devices connecting to corporate networks
- Tracking adversary movement across OT and IT networks
- Using asset inventories to prioritise investigative focus
- Building cross-platform attack timelines
- Developing organisation-specific detection logic
- Creating unified visibility dashboards
- Case study: tracing a breach from a phishing email to domain dominance
Module 12: Adversarial Tactics and Evasion Detection - Understanding common evasion techniques used by threat actors
- Detecting OS process injection and hollowing
- Identifying API unhooking and hooking bypasses
- Spotting direct syscalls and NTDLL unhooking
- Recognising data staging and exfiltration patterns
- Detecting credential dumping with LSASS access monitoring
- Identifying pass-the-ticket and Kerberos abuse
- Tracking registry persistence mechanisms
- Detecting stealthy scheduled tasks and WMI event filters
- Analysing PowerShell proxy execution techniques
- Spotting DLL sideloading and signature spoofing
- Detecting tunnelling through legitimate services
- Identifying encrypted C2 channels using entropy analysis
- Using memory forensic indicators to detect fileless malware
- Reconstructing attack sequences from fragmented logs
- Case study: uncovering a zero-day exploit using behavioural deviation
Module 13: Proactive Hunting in Real-World Scenarios - Simulated environment for hands-on hunting practice
- Step-by-step walkthrough of a realistic breach scenario
- Hunting for initial access via phishing and credential theft
- Identifying lateral movement using log correlation
- Detecting privilege escalation attempts
- Tracking persistence mechanisms across systems
- Uncovering data staging activities
- Detecting exfiltration over DNS and HTTPS
- Reconstructing attacker timeline from fragmented telemetry
- Writing detection rules to prevent recurrence
- Generating incident reports for management
- Presenting findings to a mock executive board
- Developing a remediation and hardening plan
- Updating threat models based on lessons learned
- Measuring improvement in detection capabilities
- Case study: full-cycle hunt from hypothesis to containment
Module 14: Building a Threat Hunting Program - Defining the mission and scope of your hunting unit
- Securing executive sponsorship and funding
- Staffing: solo hunter vs team structures
- Determining required tools and budget
- Creating a quarterly hunting roadmap
- Integrating hunting into broader security operations
- Establishing reporting cadence and metrics
- Conducting regular peer review of hunting activities
- Developing training plans for new hunters
- Building a knowledge base of TTPs and detections
- Creating a culture of continuous improvement
- Aligning with incident response and forensics teams
- Presenting value to leadership with ROI metrics
- Scaling the program with automation and AI
- Case study: launching a successful hunting program in a mid-sized enterprise
- Template: Threat hunting charter document
Module 15: Certification and Next Steps - Completing the final assessment: applied threat hunting exam
- Reviewing key concepts and decision-making frameworks
- Submitting your custom hunting playbook for evaluation
- Receiving expert feedback on your methodology
- Earning your Certificate of Completion from The Art of Service
- Adding the certification to your LinkedIn profile
- Networking with certified peers in the alumni community
- Accessing exclusive job boards and career support
- Joining advanced workshops and update briefings
- Continuing education paths in adversarial simulation and red teaming
- Staying current with monthly threat intelligence updates
- Participating in live peer review sessions
- Contributing to open source detection rule repositories
- Preparing for advanced certifications (e.g. OSCP, GXHUNT)
- Advancing to leadership roles in cyber defence operations
- Template: Personal development plan for threat hunters
- From intuition to structured hypothesis creation
- The H-statements framework: defining high-probability threats
- Leveraging threat intelligence to inform initial hypotheses
- Using ATT&CK Navigator to map adversary behaviour
- Generating hypotheses from AI anomaly clusters
- Creating time-bound, falsifiable hunting propositions
- Scoring hypotheses by likelihood and business impact
- Prioritising hunting initiatives using risk-based matrices
- Integrating business context into hypothesis design
- Identifying gaps in visibility that enable blind spots
- Hypothesis refinement through iterative validation
- Documenting assumptions and data limitations
- Collaborative hypothesis development across teams
- Tools for visualising and sharing hypothesis pipelines
- Automating hypothesis suggestion using natural language processing
- Case study: detecting insider threats using behavioural baselines
Module 4: Data Engineering for Threat Hunting - Essential data sources for comprehensive visibility
- Endpoint telemetry: process creation, file changes, registry modifications
- Network metadata: NetFlow, Zeek logs, DNS query patterns
- Authentication logs: lateral movement indicators and access anomalies
- Cloud platform logs: AWS CloudTrail, Azure Activity Log, GCP Audit Logs
- API security logs: identifying abuse patterns in service accounts
- Data normalisation using CEF, LEEF, and custom schemas
- Enriching raw logs with threat intelligence feeds
- Geo-locating IP addresses for targeted analysis
- Adding asset criticality tags for risk-aware filtering
- Building a centralised data lake for hunting queries
- Schema design for high-performance hunting databases
- Indexing strategies for rapid pattern retrieval
- Managing data retention and compliance requirements
- Evaluating open source vs commercial data platforms
- Practical lab: building a minimal telemetry pipeline
Module 5: Advanced Querying and Pattern Detection - Mastery of KQL (Kusto Query Language) for hunting
- Using Splunk SPL for complex event correlation
- Writing efficient Elasticsearch queries for large datasets
- Pattern matching with regular expressions in log analysis
- Identifying command-line obfuscation techniques
- Detecting PowerShell misuse and encoded commands
- Spotting living-off-the-land binaries (LOLBins)
- Analysing Windows Event ID correlations for privilege escalation
- Query optimisation: avoiding timeouts and resource exhaustion
- Developing reusable query templates for common TTPs
- Building custom parsers for unstructured logs
- Creating detection logic maps for team knowledge sharing
- Version control for detection rules using Git
- Testing queries against historical breach datasets
- Case study: detecting Pass-the-Hash attacks in hybrid environments
- Automating query execution with scheduled searches
Module 6: AI-Powered Anomaly Detection Techniques - Establishing behavioural baselines for users and hosts
- Using moving averages and standard deviations for thresholding
- Implementing exponentially weighted moving averages (EWMA)
- Detecting outlier processes with z-score analysis
- Identifying abnormal login times and locations
- Modelling peer group analysis for account deviation
- Analysing file access patterns for data exfiltration signs
- Detecting atypical port usage with entropy analysis
- Using Benford’s Law to uncover fraudulent log entries
- Identifying encrypted tunneling through DNS anomalies
- Spotting beaconing behaviour in C2 communications
- Applying change point detection to network flows
- Clustering similar attack patterns using K-means
- Visualising anomaly scores over time for trend analysis
- Reducing false positives through contextual filtering
- Integrating anomaly results into hunting workflows
Module 7: Automated Hunting Workflows - Designing repeatable hunting playbooks
- Structuring playbooks: objective, data sources, queries, outcome
- Version controlling playbooks for team collaboration
- Automating routine hunts using script templates
- Scheduling periodic execution with cron and task runners
- Building a centralised playbook repository
- Tagging playbooks by ATT&CK technique and severity
- Measuring playbook effectiveness over time
- Integrating playbooks with SOAR platforms
- Triggering automated hunts based on external alerts
- Using YAML for declarative playbook definition
- Creating branching logic for dynamic investigation paths
- Documenting findings and generating reports automatically
- Sharing results with stakeholders in digestible formats
- Using CI/CD pipelines to test and deploy detection logic
- Case study: automating lateral movement detection across 10K endpoints
Module 8: Threat Intelligence Integration - Differentiating between strategic, tactical, and operational intelligence
- Leveraging OSINT for emerging threat awareness
- Using MISP for structured threat data sharing
- Integrating STIX/TAXII feeds into detection systems
- Mapping IOCs to your environment for situational relevance
- Detecting known malicious IPs, domains, and hashes
- Enriching alerts with context from threat reports
- Building custom intelligence dashboards
- Automating IOC ingestion with API integrations
- Evaluating the reliability of intelligence sources
- Creating internal threat bulletins for team awareness
- Using threat actor profiles to anticipate next moves
- Linking campaigns to TTPs in your hunting hypotheses
- Conducting threat landscape assessments quarterly
- Sharing insights with external ISACs and peer groups
- Case study: stopping a ransomware variant 48 hours before deployment
Module 9: Cloud-Native Threat Hunting - Unique challenges in public cloud security monitoring
- Understanding shared responsibility models
- Monitoring identity and access management changes
- Detecting privilege escalation in IAM policies
- Analysing role assumption events for misuse
- Tracking configuration drift in cloud resources
- Detecting public S3 bucket exposures
- Identifying unauthorised API gateway usage
- Hunting for container breakout attempts
- Monitoring Kubernetes audit logs for anomalous access
- Detecting serverless function abuse
- Analysing VPC flow logs for lateral movement
- Spotting workload identity token theft
- Building cloud-specific detection rules
- Integrating CSPM findings into hunting workflows
- Case study: detecting cloud crypto-mining pivot from misconfigured IAM
Module 10: Operationalising AI in the SOC - Getting started without a dedicated AI team
- Starting small: pilot projects with high visibility
- Choosing your first AI use case for hunting
- Selecting tools with built-in ML capabilities
- Integrating third-party ML models via APIs
- Building feedback loops from SOC analysts to model training
- Creating model validation reports for leadership
- Communicating AI limitations to non-technical stakeholders
- Establishing governance for AI model usage
- Conducting model audits for bias and accuracy
- Managing model versioning and deprecation
- Documenting decision logic for compliance audits
- Aligning AI initiatives with NIST AI Risk Management Framework
- Training analysts to interpret and challenge AI outputs
- Scaling AI use cases across multiple domains
- Case study: deploying ML to prioritise 10K daily alerts down to 15 high-fidelity incidents
Module 11: Cross-Environment Hunting Strategies - Hunting across hybrid on-prem and cloud environments
- Synchronising time stamps and log formats
- Correlating events across Active Directory and Azure AD
- Detecting identity federation compromises
- Investigating lateral movement between data centres
- Analysing email gateway logs with endpoint data
- Linking phishing campaigns to post-compromise actions
- Uncovering supply chain compromises through software signing anomalies
- Hunting for compromised service accounts in multi-domain forests
- Detecting rogue devices connecting to corporate networks
- Tracking adversary movement across OT and IT networks
- Using asset inventories to prioritise investigative focus
- Building cross-platform attack timelines
- Developing organisation-specific detection logic
- Creating unified visibility dashboards
- Case study: tracing a breach from a phishing email to domain dominance
Module 12: Adversarial Tactics and Evasion Detection - Understanding common evasion techniques used by threat actors
- Detecting OS process injection and hollowing
- Identifying API unhooking and hooking bypasses
- Spotting direct syscalls and NTDLL unhooking
- Recognising data staging and exfiltration patterns
- Detecting credential dumping with LSASS access monitoring
- Identifying pass-the-ticket and Kerberos abuse
- Tracking registry persistence mechanisms
- Detecting stealthy scheduled tasks and WMI event filters
- Analysing PowerShell proxy execution techniques
- Spotting DLL sideloading and signature spoofing
- Detecting tunnelling through legitimate services
- Identifying encrypted C2 channels using entropy analysis
- Using memory forensic indicators to detect fileless malware
- Reconstructing attack sequences from fragmented logs
- Case study: uncovering a zero-day exploit using behavioural deviation
Module 13: Proactive Hunting in Real-World Scenarios - Simulated environment for hands-on hunting practice
- Step-by-step walkthrough of a realistic breach scenario
- Hunting for initial access via phishing and credential theft
- Identifying lateral movement using log correlation
- Detecting privilege escalation attempts
- Tracking persistence mechanisms across systems
- Uncovering data staging activities
- Detecting exfiltration over DNS and HTTPS
- Reconstructing attacker timeline from fragmented telemetry
- Writing detection rules to prevent recurrence
- Generating incident reports for management
- Presenting findings to a mock executive board
- Developing a remediation and hardening plan
- Updating threat models based on lessons learned
- Measuring improvement in detection capabilities
- Case study: full-cycle hunt from hypothesis to containment
Module 14: Building a Threat Hunting Program - Defining the mission and scope of your hunting unit
- Securing executive sponsorship and funding
- Staffing: solo hunter vs team structures
- Determining required tools and budget
- Creating a quarterly hunting roadmap
- Integrating hunting into broader security operations
- Establishing reporting cadence and metrics
- Conducting regular peer review of hunting activities
- Developing training plans for new hunters
- Building a knowledge base of TTPs and detections
- Creating a culture of continuous improvement
- Aligning with incident response and forensics teams
- Presenting value to leadership with ROI metrics
- Scaling the program with automation and AI
- Case study: launching a successful hunting program in a mid-sized enterprise
- Template: Threat hunting charter document
Module 15: Certification and Next Steps - Completing the final assessment: applied threat hunting exam
- Reviewing key concepts and decision-making frameworks
- Submitting your custom hunting playbook for evaluation
- Receiving expert feedback on your methodology
- Earning your Certificate of Completion from The Art of Service
- Adding the certification to your LinkedIn profile
- Networking with certified peers in the alumni community
- Accessing exclusive job boards and career support
- Joining advanced workshops and update briefings
- Continuing education paths in adversarial simulation and red teaming
- Staying current with monthly threat intelligence updates
- Participating in live peer review sessions
- Contributing to open source detection rule repositories
- Preparing for advanced certifications (e.g. OSCP, GXHUNT)
- Advancing to leadership roles in cyber defence operations
- Template: Personal development plan for threat hunters
- Mastery of KQL (Kusto Query Language) for hunting
- Using Splunk SPL for complex event correlation
- Writing efficient Elasticsearch queries for large datasets
- Pattern matching with regular expressions in log analysis
- Identifying command-line obfuscation techniques
- Detecting PowerShell misuse and encoded commands
- Spotting living-off-the-land binaries (LOLBins)
- Analysing Windows Event ID correlations for privilege escalation
- Query optimisation: avoiding timeouts and resource exhaustion
- Developing reusable query templates for common TTPs
- Building custom parsers for unstructured logs
- Creating detection logic maps for team knowledge sharing
- Version control for detection rules using Git
- Testing queries against historical breach datasets
- Case study: detecting Pass-the-Hash attacks in hybrid environments
- Automating query execution with scheduled searches
Module 6: AI-Powered Anomaly Detection Techniques - Establishing behavioural baselines for users and hosts
- Using moving averages and standard deviations for thresholding
- Implementing exponentially weighted moving averages (EWMA)
- Detecting outlier processes with z-score analysis
- Identifying abnormal login times and locations
- Modelling peer group analysis for account deviation
- Analysing file access patterns for data exfiltration signs
- Detecting atypical port usage with entropy analysis
- Using Benford’s Law to uncover fraudulent log entries
- Identifying encrypted tunneling through DNS anomalies
- Spotting beaconing behaviour in C2 communications
- Applying change point detection to network flows
- Clustering similar attack patterns using K-means
- Visualising anomaly scores over time for trend analysis
- Reducing false positives through contextual filtering
- Integrating anomaly results into hunting workflows
Module 7: Automated Hunting Workflows - Designing repeatable hunting playbooks
- Structuring playbooks: objective, data sources, queries, outcome
- Version controlling playbooks for team collaboration
- Automating routine hunts using script templates
- Scheduling periodic execution with cron and task runners
- Building a centralised playbook repository
- Tagging playbooks by ATT&CK technique and severity
- Measuring playbook effectiveness over time
- Integrating playbooks with SOAR platforms
- Triggering automated hunts based on external alerts
- Using YAML for declarative playbook definition
- Creating branching logic for dynamic investigation paths
- Documenting findings and generating reports automatically
- Sharing results with stakeholders in digestible formats
- Using CI/CD pipelines to test and deploy detection logic
- Case study: automating lateral movement detection across 10K endpoints
Module 8: Threat Intelligence Integration - Differentiating between strategic, tactical, and operational intelligence
- Leveraging OSINT for emerging threat awareness
- Using MISP for structured threat data sharing
- Integrating STIX/TAXII feeds into detection systems
- Mapping IOCs to your environment for situational relevance
- Detecting known malicious IPs, domains, and hashes
- Enriching alerts with context from threat reports
- Building custom intelligence dashboards
- Automating IOC ingestion with API integrations
- Evaluating the reliability of intelligence sources
- Creating internal threat bulletins for team awareness
- Using threat actor profiles to anticipate next moves
- Linking campaigns to TTPs in your hunting hypotheses
- Conducting threat landscape assessments quarterly
- Sharing insights with external ISACs and peer groups
- Case study: stopping a ransomware variant 48 hours before deployment
Module 9: Cloud-Native Threat Hunting - Unique challenges in public cloud security monitoring
- Understanding shared responsibility models
- Monitoring identity and access management changes
- Detecting privilege escalation in IAM policies
- Analysing role assumption events for misuse
- Tracking configuration drift in cloud resources
- Detecting public S3 bucket exposures
- Identifying unauthorised API gateway usage
- Hunting for container breakout attempts
- Monitoring Kubernetes audit logs for anomalous access
- Detecting serverless function abuse
- Analysing VPC flow logs for lateral movement
- Spotting workload identity token theft
- Building cloud-specific detection rules
- Integrating CSPM findings into hunting workflows
- Case study: detecting cloud crypto-mining pivot from misconfigured IAM
Module 10: Operationalising AI in the SOC - Getting started without a dedicated AI team
- Starting small: pilot projects with high visibility
- Choosing your first AI use case for hunting
- Selecting tools with built-in ML capabilities
- Integrating third-party ML models via APIs
- Building feedback loops from SOC analysts to model training
- Creating model validation reports for leadership
- Communicating AI limitations to non-technical stakeholders
- Establishing governance for AI model usage
- Conducting model audits for bias and accuracy
- Managing model versioning and deprecation
- Documenting decision logic for compliance audits
- Aligning AI initiatives with NIST AI Risk Management Framework
- Training analysts to interpret and challenge AI outputs
- Scaling AI use cases across multiple domains
- Case study: deploying ML to prioritise 10K daily alerts down to 15 high-fidelity incidents
Module 11: Cross-Environment Hunting Strategies - Hunting across hybrid on-prem and cloud environments
- Synchronising time stamps and log formats
- Correlating events across Active Directory and Azure AD
- Detecting identity federation compromises
- Investigating lateral movement between data centres
- Analysing email gateway logs with endpoint data
- Linking phishing campaigns to post-compromise actions
- Uncovering supply chain compromises through software signing anomalies
- Hunting for compromised service accounts in multi-domain forests
- Detecting rogue devices connecting to corporate networks
- Tracking adversary movement across OT and IT networks
- Using asset inventories to prioritise investigative focus
- Building cross-platform attack timelines
- Developing organisation-specific detection logic
- Creating unified visibility dashboards
- Case study: tracing a breach from a phishing email to domain dominance
Module 12: Adversarial Tactics and Evasion Detection - Understanding common evasion techniques used by threat actors
- Detecting OS process injection and hollowing
- Identifying API unhooking and hooking bypasses
- Spotting direct syscalls and NTDLL unhooking
- Recognising data staging and exfiltration patterns
- Detecting credential dumping with LSASS access monitoring
- Identifying pass-the-ticket and Kerberos abuse
- Tracking registry persistence mechanisms
- Detecting stealthy scheduled tasks and WMI event filters
- Analysing PowerShell proxy execution techniques
- Spotting DLL sideloading and signature spoofing
- Detecting tunnelling through legitimate services
- Identifying encrypted C2 channels using entropy analysis
- Using memory forensic indicators to detect fileless malware
- Reconstructing attack sequences from fragmented logs
- Case study: uncovering a zero-day exploit using behavioural deviation
Module 13: Proactive Hunting in Real-World Scenarios - Simulated environment for hands-on hunting practice
- Step-by-step walkthrough of a realistic breach scenario
- Hunting for initial access via phishing and credential theft
- Identifying lateral movement using log correlation
- Detecting privilege escalation attempts
- Tracking persistence mechanisms across systems
- Uncovering data staging activities
- Detecting exfiltration over DNS and HTTPS
- Reconstructing attacker timeline from fragmented telemetry
- Writing detection rules to prevent recurrence
- Generating incident reports for management
- Presenting findings to a mock executive board
- Developing a remediation and hardening plan
- Updating threat models based on lessons learned
- Measuring improvement in detection capabilities
- Case study: full-cycle hunt from hypothesis to containment
Module 14: Building a Threat Hunting Program - Defining the mission and scope of your hunting unit
- Securing executive sponsorship and funding
- Staffing: solo hunter vs team structures
- Determining required tools and budget
- Creating a quarterly hunting roadmap
- Integrating hunting into broader security operations
- Establishing reporting cadence and metrics
- Conducting regular peer review of hunting activities
- Developing training plans for new hunters
- Building a knowledge base of TTPs and detections
- Creating a culture of continuous improvement
- Aligning with incident response and forensics teams
- Presenting value to leadership with ROI metrics
- Scaling the program with automation and AI
- Case study: launching a successful hunting program in a mid-sized enterprise
- Template: Threat hunting charter document
Module 15: Certification and Next Steps - Completing the final assessment: applied threat hunting exam
- Reviewing key concepts and decision-making frameworks
- Submitting your custom hunting playbook for evaluation
- Receiving expert feedback on your methodology
- Earning your Certificate of Completion from The Art of Service
- Adding the certification to your LinkedIn profile
- Networking with certified peers in the alumni community
- Accessing exclusive job boards and career support
- Joining advanced workshops and update briefings
- Continuing education paths in adversarial simulation and red teaming
- Staying current with monthly threat intelligence updates
- Participating in live peer review sessions
- Contributing to open source detection rule repositories
- Preparing for advanced certifications (e.g. OSCP, GXHUNT)
- Advancing to leadership roles in cyber defence operations
- Template: Personal development plan for threat hunters
- Designing repeatable hunting playbooks
- Structuring playbooks: objective, data sources, queries, outcome
- Version controlling playbooks for team collaboration
- Automating routine hunts using script templates
- Scheduling periodic execution with cron and task runners
- Building a centralised playbook repository
- Tagging playbooks by ATT&CK technique and severity
- Measuring playbook effectiveness over time
- Integrating playbooks with SOAR platforms
- Triggering automated hunts based on external alerts
- Using YAML for declarative playbook definition
- Creating branching logic for dynamic investigation paths
- Documenting findings and generating reports automatically
- Sharing results with stakeholders in digestible formats
- Using CI/CD pipelines to test and deploy detection logic
- Case study: automating lateral movement detection across 10K endpoints
Module 8: Threat Intelligence Integration - Differentiating between strategic, tactical, and operational intelligence
- Leveraging OSINT for emerging threat awareness
- Using MISP for structured threat data sharing
- Integrating STIX/TAXII feeds into detection systems
- Mapping IOCs to your environment for situational relevance
- Detecting known malicious IPs, domains, and hashes
- Enriching alerts with context from threat reports
- Building custom intelligence dashboards
- Automating IOC ingestion with API integrations
- Evaluating the reliability of intelligence sources
- Creating internal threat bulletins for team awareness
- Using threat actor profiles to anticipate next moves
- Linking campaigns to TTPs in your hunting hypotheses
- Conducting threat landscape assessments quarterly
- Sharing insights with external ISACs and peer groups
- Case study: stopping a ransomware variant 48 hours before deployment
Module 9: Cloud-Native Threat Hunting - Unique challenges in public cloud security monitoring
- Understanding shared responsibility models
- Monitoring identity and access management changes
- Detecting privilege escalation in IAM policies
- Analysing role assumption events for misuse
- Tracking configuration drift in cloud resources
- Detecting public S3 bucket exposures
- Identifying unauthorised API gateway usage
- Hunting for container breakout attempts
- Monitoring Kubernetes audit logs for anomalous access
- Detecting serverless function abuse
- Analysing VPC flow logs for lateral movement
- Spotting workload identity token theft
- Building cloud-specific detection rules
- Integrating CSPM findings into hunting workflows
- Case study: detecting cloud crypto-mining pivot from misconfigured IAM
Module 10: Operationalising AI in the SOC - Getting started without a dedicated AI team
- Starting small: pilot projects with high visibility
- Choosing your first AI use case for hunting
- Selecting tools with built-in ML capabilities
- Integrating third-party ML models via APIs
- Building feedback loops from SOC analysts to model training
- Creating model validation reports for leadership
- Communicating AI limitations to non-technical stakeholders
- Establishing governance for AI model usage
- Conducting model audits for bias and accuracy
- Managing model versioning and deprecation
- Documenting decision logic for compliance audits
- Aligning AI initiatives with NIST AI Risk Management Framework
- Training analysts to interpret and challenge AI outputs
- Scaling AI use cases across multiple domains
- Case study: deploying ML to prioritise 10K daily alerts down to 15 high-fidelity incidents
Module 11: Cross-Environment Hunting Strategies - Hunting across hybrid on-prem and cloud environments
- Synchronising time stamps and log formats
- Correlating events across Active Directory and Azure AD
- Detecting identity federation compromises
- Investigating lateral movement between data centres
- Analysing email gateway logs with endpoint data
- Linking phishing campaigns to post-compromise actions
- Uncovering supply chain compromises through software signing anomalies
- Hunting for compromised service accounts in multi-domain forests
- Detecting rogue devices connecting to corporate networks
- Tracking adversary movement across OT and IT networks
- Using asset inventories to prioritise investigative focus
- Building cross-platform attack timelines
- Developing organisation-specific detection logic
- Creating unified visibility dashboards
- Case study: tracing a breach from a phishing email to domain dominance
Module 12: Adversarial Tactics and Evasion Detection - Understanding common evasion techniques used by threat actors
- Detecting OS process injection and hollowing
- Identifying API unhooking and hooking bypasses
- Spotting direct syscalls and NTDLL unhooking
- Recognising data staging and exfiltration patterns
- Detecting credential dumping with LSASS access monitoring
- Identifying pass-the-ticket and Kerberos abuse
- Tracking registry persistence mechanisms
- Detecting stealthy scheduled tasks and WMI event filters
- Analysing PowerShell proxy execution techniques
- Spotting DLL sideloading and signature spoofing
- Detecting tunnelling through legitimate services
- Identifying encrypted C2 channels using entropy analysis
- Using memory forensic indicators to detect fileless malware
- Reconstructing attack sequences from fragmented logs
- Case study: uncovering a zero-day exploit using behavioural deviation
Module 13: Proactive Hunting in Real-World Scenarios - Simulated environment for hands-on hunting practice
- Step-by-step walkthrough of a realistic breach scenario
- Hunting for initial access via phishing and credential theft
- Identifying lateral movement using log correlation
- Detecting privilege escalation attempts
- Tracking persistence mechanisms across systems
- Uncovering data staging activities
- Detecting exfiltration over DNS and HTTPS
- Reconstructing attacker timeline from fragmented telemetry
- Writing detection rules to prevent recurrence
- Generating incident reports for management
- Presenting findings to a mock executive board
- Developing a remediation and hardening plan
- Updating threat models based on lessons learned
- Measuring improvement in detection capabilities
- Case study: full-cycle hunt from hypothesis to containment
Module 14: Building a Threat Hunting Program - Defining the mission and scope of your hunting unit
- Securing executive sponsorship and funding
- Staffing: solo hunter vs team structures
- Determining required tools and budget
- Creating a quarterly hunting roadmap
- Integrating hunting into broader security operations
- Establishing reporting cadence and metrics
- Conducting regular peer review of hunting activities
- Developing training plans for new hunters
- Building a knowledge base of TTPs and detections
- Creating a culture of continuous improvement
- Aligning with incident response and forensics teams
- Presenting value to leadership with ROI metrics
- Scaling the program with automation and AI
- Case study: launching a successful hunting program in a mid-sized enterprise
- Template: Threat hunting charter document
Module 15: Certification and Next Steps - Completing the final assessment: applied threat hunting exam
- Reviewing key concepts and decision-making frameworks
- Submitting your custom hunting playbook for evaluation
- Receiving expert feedback on your methodology
- Earning your Certificate of Completion from The Art of Service
- Adding the certification to your LinkedIn profile
- Networking with certified peers in the alumni community
- Accessing exclusive job boards and career support
- Joining advanced workshops and update briefings
- Continuing education paths in adversarial simulation and red teaming
- Staying current with monthly threat intelligence updates
- Participating in live peer review sessions
- Contributing to open source detection rule repositories
- Preparing for advanced certifications (e.g. OSCP, GXHUNT)
- Advancing to leadership roles in cyber defence operations
- Template: Personal development plan for threat hunters
- Unique challenges in public cloud security monitoring
- Understanding shared responsibility models
- Monitoring identity and access management changes
- Detecting privilege escalation in IAM policies
- Analysing role assumption events for misuse
- Tracking configuration drift in cloud resources
- Detecting public S3 bucket exposures
- Identifying unauthorised API gateway usage
- Hunting for container breakout attempts
- Monitoring Kubernetes audit logs for anomalous access
- Detecting serverless function abuse
- Analysing VPC flow logs for lateral movement
- Spotting workload identity token theft
- Building cloud-specific detection rules
- Integrating CSPM findings into hunting workflows
- Case study: detecting cloud crypto-mining pivot from misconfigured IAM
Module 10: Operationalising AI in the SOC - Getting started without a dedicated AI team
- Starting small: pilot projects with high visibility
- Choosing your first AI use case for hunting
- Selecting tools with built-in ML capabilities
- Integrating third-party ML models via APIs
- Building feedback loops from SOC analysts to model training
- Creating model validation reports for leadership
- Communicating AI limitations to non-technical stakeholders
- Establishing governance for AI model usage
- Conducting model audits for bias and accuracy
- Managing model versioning and deprecation
- Documenting decision logic for compliance audits
- Aligning AI initiatives with NIST AI Risk Management Framework
- Training analysts to interpret and challenge AI outputs
- Scaling AI use cases across multiple domains
- Case study: deploying ML to prioritise 10K daily alerts down to 15 high-fidelity incidents
Module 11: Cross-Environment Hunting Strategies - Hunting across hybrid on-prem and cloud environments
- Synchronising time stamps and log formats
- Correlating events across Active Directory and Azure AD
- Detecting identity federation compromises
- Investigating lateral movement between data centres
- Analysing email gateway logs with endpoint data
- Linking phishing campaigns to post-compromise actions
- Uncovering supply chain compromises through software signing anomalies
- Hunting for compromised service accounts in multi-domain forests
- Detecting rogue devices connecting to corporate networks
- Tracking adversary movement across OT and IT networks
- Using asset inventories to prioritise investigative focus
- Building cross-platform attack timelines
- Developing organisation-specific detection logic
- Creating unified visibility dashboards
- Case study: tracing a breach from a phishing email to domain dominance
Module 12: Adversarial Tactics and Evasion Detection - Understanding common evasion techniques used by threat actors
- Detecting OS process injection and hollowing
- Identifying API unhooking and hooking bypasses
- Spotting direct syscalls and NTDLL unhooking
- Recognising data staging and exfiltration patterns
- Detecting credential dumping with LSASS access monitoring
- Identifying pass-the-ticket and Kerberos abuse
- Tracking registry persistence mechanisms
- Detecting stealthy scheduled tasks and WMI event filters
- Analysing PowerShell proxy execution techniques
- Spotting DLL sideloading and signature spoofing
- Detecting tunnelling through legitimate services
- Identifying encrypted C2 channels using entropy analysis
- Using memory forensic indicators to detect fileless malware
- Reconstructing attack sequences from fragmented logs
- Case study: uncovering a zero-day exploit using behavioural deviation
Module 13: Proactive Hunting in Real-World Scenarios - Simulated environment for hands-on hunting practice
- Step-by-step walkthrough of a realistic breach scenario
- Hunting for initial access via phishing and credential theft
- Identifying lateral movement using log correlation
- Detecting privilege escalation attempts
- Tracking persistence mechanisms across systems
- Uncovering data staging activities
- Detecting exfiltration over DNS and HTTPS
- Reconstructing attacker timeline from fragmented telemetry
- Writing detection rules to prevent recurrence
- Generating incident reports for management
- Presenting findings to a mock executive board
- Developing a remediation and hardening plan
- Updating threat models based on lessons learned
- Measuring improvement in detection capabilities
- Case study: full-cycle hunt from hypothesis to containment
Module 14: Building a Threat Hunting Program - Defining the mission and scope of your hunting unit
- Securing executive sponsorship and funding
- Staffing: solo hunter vs team structures
- Determining required tools and budget
- Creating a quarterly hunting roadmap
- Integrating hunting into broader security operations
- Establishing reporting cadence and metrics
- Conducting regular peer review of hunting activities
- Developing training plans for new hunters
- Building a knowledge base of TTPs and detections
- Creating a culture of continuous improvement
- Aligning with incident response and forensics teams
- Presenting value to leadership with ROI metrics
- Scaling the program with automation and AI
- Case study: launching a successful hunting program in a mid-sized enterprise
- Template: Threat hunting charter document
Module 15: Certification and Next Steps - Completing the final assessment: applied threat hunting exam
- Reviewing key concepts and decision-making frameworks
- Submitting your custom hunting playbook for evaluation
- Receiving expert feedback on your methodology
- Earning your Certificate of Completion from The Art of Service
- Adding the certification to your LinkedIn profile
- Networking with certified peers in the alumni community
- Accessing exclusive job boards and career support
- Joining advanced workshops and update briefings
- Continuing education paths in adversarial simulation and red teaming
- Staying current with monthly threat intelligence updates
- Participating in live peer review sessions
- Contributing to open source detection rule repositories
- Preparing for advanced certifications (e.g. OSCP, GXHUNT)
- Advancing to leadership roles in cyber defence operations
- Template: Personal development plan for threat hunters
- Hunting across hybrid on-prem and cloud environments
- Synchronising time stamps and log formats
- Correlating events across Active Directory and Azure AD
- Detecting identity federation compromises
- Investigating lateral movement between data centres
- Analysing email gateway logs with endpoint data
- Linking phishing campaigns to post-compromise actions
- Uncovering supply chain compromises through software signing anomalies
- Hunting for compromised service accounts in multi-domain forests
- Detecting rogue devices connecting to corporate networks
- Tracking adversary movement across OT and IT networks
- Using asset inventories to prioritise investigative focus
- Building cross-platform attack timelines
- Developing organisation-specific detection logic
- Creating unified visibility dashboards
- Case study: tracing a breach from a phishing email to domain dominance
Module 12: Adversarial Tactics and Evasion Detection - Understanding common evasion techniques used by threat actors
- Detecting OS process injection and hollowing
- Identifying API unhooking and hooking bypasses
- Spotting direct syscalls and NTDLL unhooking
- Recognising data staging and exfiltration patterns
- Detecting credential dumping with LSASS access monitoring
- Identifying pass-the-ticket and Kerberos abuse
- Tracking registry persistence mechanisms
- Detecting stealthy scheduled tasks and WMI event filters
- Analysing PowerShell proxy execution techniques
- Spotting DLL sideloading and signature spoofing
- Detecting tunnelling through legitimate services
- Identifying encrypted C2 channels using entropy analysis
- Using memory forensic indicators to detect fileless malware
- Reconstructing attack sequences from fragmented logs
- Case study: uncovering a zero-day exploit using behavioural deviation
Module 13: Proactive Hunting in Real-World Scenarios - Simulated environment for hands-on hunting practice
- Step-by-step walkthrough of a realistic breach scenario
- Hunting for initial access via phishing and credential theft
- Identifying lateral movement using log correlation
- Detecting privilege escalation attempts
- Tracking persistence mechanisms across systems
- Uncovering data staging activities
- Detecting exfiltration over DNS and HTTPS
- Reconstructing attacker timeline from fragmented telemetry
- Writing detection rules to prevent recurrence
- Generating incident reports for management
- Presenting findings to a mock executive board
- Developing a remediation and hardening plan
- Updating threat models based on lessons learned
- Measuring improvement in detection capabilities
- Case study: full-cycle hunt from hypothesis to containment
Module 14: Building a Threat Hunting Program - Defining the mission and scope of your hunting unit
- Securing executive sponsorship and funding
- Staffing: solo hunter vs team structures
- Determining required tools and budget
- Creating a quarterly hunting roadmap
- Integrating hunting into broader security operations
- Establishing reporting cadence and metrics
- Conducting regular peer review of hunting activities
- Developing training plans for new hunters
- Building a knowledge base of TTPs and detections
- Creating a culture of continuous improvement
- Aligning with incident response and forensics teams
- Presenting value to leadership with ROI metrics
- Scaling the program with automation and AI
- Case study: launching a successful hunting program in a mid-sized enterprise
- Template: Threat hunting charter document
Module 15: Certification and Next Steps - Completing the final assessment: applied threat hunting exam
- Reviewing key concepts and decision-making frameworks
- Submitting your custom hunting playbook for evaluation
- Receiving expert feedback on your methodology
- Earning your Certificate of Completion from The Art of Service
- Adding the certification to your LinkedIn profile
- Networking with certified peers in the alumni community
- Accessing exclusive job boards and career support
- Joining advanced workshops and update briefings
- Continuing education paths in adversarial simulation and red teaming
- Staying current with monthly threat intelligence updates
- Participating in live peer review sessions
- Contributing to open source detection rule repositories
- Preparing for advanced certifications (e.g. OSCP, GXHUNT)
- Advancing to leadership roles in cyber defence operations
- Template: Personal development plan for threat hunters
- Simulated environment for hands-on hunting practice
- Step-by-step walkthrough of a realistic breach scenario
- Hunting for initial access via phishing and credential theft
- Identifying lateral movement using log correlation
- Detecting privilege escalation attempts
- Tracking persistence mechanisms across systems
- Uncovering data staging activities
- Detecting exfiltration over DNS and HTTPS
- Reconstructing attacker timeline from fragmented telemetry
- Writing detection rules to prevent recurrence
- Generating incident reports for management
- Presenting findings to a mock executive board
- Developing a remediation and hardening plan
- Updating threat models based on lessons learned
- Measuring improvement in detection capabilities
- Case study: full-cycle hunt from hypothesis to containment
Module 14: Building a Threat Hunting Program - Defining the mission and scope of your hunting unit
- Securing executive sponsorship and funding
- Staffing: solo hunter vs team structures
- Determining required tools and budget
- Creating a quarterly hunting roadmap
- Integrating hunting into broader security operations
- Establishing reporting cadence and metrics
- Conducting regular peer review of hunting activities
- Developing training plans for new hunters
- Building a knowledge base of TTPs and detections
- Creating a culture of continuous improvement
- Aligning with incident response and forensics teams
- Presenting value to leadership with ROI metrics
- Scaling the program with automation and AI
- Case study: launching a successful hunting program in a mid-sized enterprise
- Template: Threat hunting charter document
Module 15: Certification and Next Steps - Completing the final assessment: applied threat hunting exam
- Reviewing key concepts and decision-making frameworks
- Submitting your custom hunting playbook for evaluation
- Receiving expert feedback on your methodology
- Earning your Certificate of Completion from The Art of Service
- Adding the certification to your LinkedIn profile
- Networking with certified peers in the alumni community
- Accessing exclusive job boards and career support
- Joining advanced workshops and update briefings
- Continuing education paths in adversarial simulation and red teaming
- Staying current with monthly threat intelligence updates
- Participating in live peer review sessions
- Contributing to open source detection rule repositories
- Preparing for advanced certifications (e.g. OSCP, GXHUNT)
- Advancing to leadership roles in cyber defence operations
- Template: Personal development plan for threat hunters
- Completing the final assessment: applied threat hunting exam
- Reviewing key concepts and decision-making frameworks
- Submitting your custom hunting playbook for evaluation
- Receiving expert feedback on your methodology
- Earning your Certificate of Completion from The Art of Service
- Adding the certification to your LinkedIn profile
- Networking with certified peers in the alumni community
- Accessing exclusive job boards and career support
- Joining advanced workshops and update briefings
- Continuing education paths in adversarial simulation and red teaming
- Staying current with monthly threat intelligence updates
- Participating in live peer review sessions
- Contributing to open source detection rule repositories
- Preparing for advanced certifications (e.g. OSCP, GXHUNT)
- Advancing to leadership roles in cyber defence operations
- Template: Personal development plan for threat hunters