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AI-Powered Security Operations

Master AI-Powered Security Operations

Put AI to work in the SOC. Learn how to strategically deploy AI across detection, investigation, response, governance, and team operations; so you can detect threats faster, reduce alert fatigue, automate routine work, and make better decisions at scale.

Included with Premium, from $19.99/month, or $179/year and save 25%. Preview the first module free, no account needed.
Your subscription also includes the Practice Hub: graded scenarios, forensic cases, query drills and the response playbooks.
Preview Course - No Account Needed See Pricing
View Pricing Take End of Course Exam → 35 CPE Credits

What you'll be able to do

✓Strategically deploy AI and machine learning capabilities across detection, investigation, response, and hunting workflows
✓Use AI to automate alert triage, enrichment, and initial investigation while maintaining human oversight
✓Use Microsoft Copilot for Security, Defender XDR, and Sentinel to shorten detection and response time
✓Apply AI-driven anomaly detection and behavioral analytics to uncover stealthy threats
✓Implement responsible AI governance, explainability, and risk management in security operations
✓Build and optimise AI-augmented SOC processes that reduce alert fatigue and improve analyst productivity
SEC203 | Premium tier | 9 modules | 20–25 hours at your own pace | 35 CPE credits | 2 free preview - no account needed

Course Syllabus

Every module and every lesson. The first three modules are open; the rest open on a click.

Free Phase 1: Foundations

Module 0Course Introduction

Why AI-assisted security operations is an operational necessity, not an optional skill. The April 2026 AiTM campaign that hit 35,000 users in three days. The five AI failure modes that make unsupervised output dangerous. Workspace configuration. Your first AI-assisted investigation.

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  1. 0.10.1 What Claude Does for Security Investigations
  2. 0.20.2 How AI Changes Cybersecurity Work
  3. 0.30.3 Setting Up Your Claude Workspace
  4. 0.40.4 Your First AI-Assisted Investigation
  5. 0.5Module Summary
  6. 0.6Check My Knowledge
Module 1AI in Security Operations: The Landscape

What AI actually offers security teams, and where it fails catastrophically. LLM mechanics for practitioners. Capabilities matrix across six SOC functions. The five AI security frameworks (NIST AI RMF, OWASP LLM Top 10, MITRE ATLAS, SANS Blueprint, EU AI Act). Tool evaluation. Data handling by platform and tier. Building your AI operations foundation.

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  1. 1.11.1 What AI Actually Does (and Does Not Do)
  2. 1.21.2 The AI Capabilities Matrix for Security Operations
  3. 1.31.3 The AI Security Literature. What the Standards Bodies Say
  4. 1.41.4 Evaluating AI Tools for Security Operations
  5. 1.51.5 Data Handling, Privacy, and Operational Security
  6. 1.61.6 Building Your AI Operations Foundation
  7. 1.7Module Summary
  8. 1.8Check My Knowledge

Phase 2: Operational Skills

Module 3Threat Intelligence & Detection Engineering with AI

Full detection rule lifecycle: advisory analysis, technique extraction, rule generation in KQL, SPL, and Sigma, MITRE ATT&CK mapping, test plan creation, false positive management, and documentation automation.

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  1. 3.13.1 From Advisory to Detection Rule. The AI-Assisted Lifecycle
  2. 3.23.2 Detection Rule Generation Across Platforms
  3. 3.33.3 MITRE ATT&CK Mapping and Rule Documentation
  4. 3.43.4 Testing, Tuning, and False Positive Management
  5. 3.53.5 Building a Detection Engineering Program
  6. 3.63.6 Summary and Check My Knowledge
Module 4Incident Response Documentation & Communication

Four-pass IR report methodology. Executive summaries, board briefings, regulatory notifications, law enforcement referrals, employee communications. Template pack with Claude prompts for every document type.

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  1. 4.14.1 The Four-Pass IR Report Methodology
  2. 4.24.2 Executive Summaries and Board Briefings
  3. 4.34.3 Technical Findings and Evidence Documentation
  4. 4.44.4 Regulatory Notifications and Legal Communications
  5. 4.54.5 Employee Communications and Post-Incident Review
  6. 4.64.6 Summary and Check My Knowledge
Module 5Security Automation with Claude Code, Cowork & Claude Code Security

Claude Code for security scripting and git-managed detection rules. Claude Code Security for reasoning-based vulnerability scanning. Cowork for delegated security tasks. Scheduled automation for recurring operations. Human-in-the-loop deployment framework for all AI-generated code.

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  1. 5.15.1 The Human-in-the-Loop Deployment Framework
  2. 5.25.2 Claude Code for Security Scripting
  3. 5.35.3 Claude Code Security for Vulnerability Assessment
  4. 5.45.4 Scheduled Tasks and Autonomous Security Operations
  5. 5.55.5 Cowork for Security Task Delegation
  6. 5.65.6 SOAR Integration and Automated Response
  7. 5.75.7 Code Review Methodology for AI-Generated Scripts
  8. 5.85.8 Summary and Check My Knowledge

Phase 3: Governance & Deployment

Module 7AI Governance for Security Organizations

Shadow AI detection, data classification for AI workflows, vendor assessment, acceptable use policies, AI incident response, and board-level reporting. A complete governance deployment rather than documentation.

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  1. 7.17.1 Shadow AI Detection and Monitoring
  2. 7.27.2 Data Classification for AI Workflows
  3. 7.37.3 AI Vendor Assessment and Procurement
  4. 7.47.4 Acceptable Use Policy and AI Incident Response
  5. 7.57.5 Board-Level AI Governance Reporting
  6. 7.67.6 Summary and Check My Knowledge
Module 8Deploying AI Across Your Security Team

Team onboarding, role-specific configurations, ROI measurement, the CISO business case, and the organizational adoption playbook. Moving AI from personal tool to team capability.

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  1. 8.18.1 Team Onboarding and Skills Assessment
  2. 8.28.2 Role-Specific AI Workspace Configuration
  3. 8.38.3 Measuring AI ROI in Security Operations
  4. 8.48.4 The CISO Business Case for AI Investment
  5. 8.58.5 Organizational Change Management
  6. 8.68.6 Summary and Check My Knowledge

Phase 4: Strategic

Module 10The Future of AI in Security Operations

Agentic security, autonomous triage, AI-powered threat hunting, multi-model architectures. Build a 12-month AI capability roadmap for your security program.

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  1. 10.110.1 Agentic AI and Autonomous Security Operations
  2. 10.210.2 Multi-Model Architectures and Tool Chains
  3. 10.310.3 AI-Powered Threat Hunting
  4. 10.410.4 Building Your 12-Month AI Roadmap
  5. 10.510.5 Summary and Course Wrap-Up

Resources

ResourcesReferences

Vendor documentation, research and standards cited across the course, grouped by what you would be reaching for.

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  1. 1References & Further Reading

Course overview

The AI-Powered Security Operations course is built specifically for cybersecurity professionals who want to deploy AI across investigation, detection, response, governance, and team operations. You'll gain hands-on expertise to:

✓ Use the AI and machine learning already in Microsoft Defender XDR, Microsoft Sentinel, and Copilot for Security
✓ Automate threat detection, alert triage, investigation, and response workflows
✓ Use AI to enhance threat hunting, anomaly detection, and root cause analysis
✓ Apply responsible AI practices for governance, explainability, and compliance in security operations

By the end, you'll have the practical skills and strategic understanding to build and run a modern, AI-augmented Security Operations Center that delivers significantly better outcomes with fewer resources.

Who this course is for

You're a cybersecurity professional (Security Engineer, Detection Engineer, SOC Analyst, Threat Hunter, or Operations Manager) who wants to deploy AI across investigation, detection, response, governance, and team operations. This course is built for you if you want to:

✓ Move from traditional SOC operations to modern, AI-powered security workflows
✓ Understand how to responsibly integrate AI tools like Copilot for Security, Defender XDR, and Sentinel
✓ Improve detection speed, investigation quality, and overall SOC efficiency
✓ Stay ahead of the curve in the rapidly evolving AI + security landscape

In short: if you're ready to harness AI to make your security operations faster, smarter, and more scalable, this course is for you.

What you'll learn

By the end of this AI-Powered Security Operations course you will be able to:

✓ Deploy and optimize AI features in Microsoft Defender XDR, Microsoft Sentinel, and Copilot for Security
✓ Automate repetitive SOC tasks including alert triage, enrichment, and response actions
✓ Use AI for advanced threat hunting, anomaly detection, and behavioral analysis
✓ Conduct faster, more effective incident investigations with AI assistance
✓ Implement responsible AI governance, bias mitigation, and explainability in security use cases
✓ Measure the impact of AI on key SOC metrics (MTTD, MTTR, alert reduction, analyst efficiency)

Key course takeaways

✓ Build and run a modern AI-augmented Security Operations Center that delivers measurable improvements
✓ Master practical use of AI across detection, investigation, response, and governance
✓ Significantly reduce alert fatigue and analyst workload while increasing threat visibility
✓ Implement responsible and effective AI practices tailored for security environments
✓ Run Microsoft Copilot for Security and other AI tools at machine speed
✓ Become the AI-powered security operations expert who transforms how your organization defends itself

Things you need to know

What are the prerequisites for this course?

There are no prerequisites. The course teaches AI application in security from first principles. Familiarity with security operations, KQL, or Microsoft security tools will help you move faster, but is not required.

What are the device requirements?

A device with a modern browser. No lab environment required. The course provides worked examples and templates you can apply directly in your SOC.

How will the course benefit your career?

AI is changing how security operations teams detect, investigate, and respond. Organizations need people who can integrate it into detection engineering, investigation workflows, and SOC processes with proper governance. This course gives you that capability.

Usage rights and disclaimer

Course materials: Licensed for individual professional development. You may deploy AI workflows, prompt patterns, and governance frameworks in your organization. You may not redistribute course content or share account credentials.

AI outputs: AI-generated content requires human review and validation before use in production security operations. This course teaches the verification methodology.

COURSE ASSESSMENT

End of Course Exam

Complete the course, then prove your skills under time pressure. Pass mark: 70. Earn your certificate with CPE credits.

40minutes
3phases
100points
1scenario
Take End of Course Exam

One random scenario per attempt. Certificate issued on pass.