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- Security
AI-Powered Defense Tools
1 Course
1 Hours
Skill IQ
AI is being embedded into security stacks; defenders must understand how to safely apply ML for detection, reduce false positives, surface novel attack patterns, and operationalize model-driven alerting and automation.
Content in this path
AI-Powered Defense Tools
A practical, defender-first learning path that teaches security and SOC teams how to deploy, tune, and operate AI/ML tools for detection, response, and threat hunting — with hands-on labs showing integration with SIEM, EDR/XDR, and SOAR pipelines.
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What You'll Learn
- Design threat-aware ML use cases and map them to detection goals.
- Prepare and label security datasets; avoid common data leakage and bias pitfalls.
- Build and evaluate detection models (anomaly detection, supervised classifiers) for logs and telemetry.
- Integrate models with SIEM/EDR/XDR pipelines and implement alerting playbooks.
- Tune models to reduce false positives and drift; set up model monitoring and retraining triggers.
- Use explainability and feature-importance to validate alerts and support triage.
- Automate response with SOAR runbooks driven by model confidence and enrichment.
- Assess adversarial risks to ML detectors and implement hardening/defensive controls.
- Produce operational runbooks, KPIs, and stakeholder reporting for AI defenses.
Prerequisites
- None
Related topics
- AI/ML
- Blue Team Tools
- Cyber Security
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