Agentic Security

Agentic Security: Attack and Defend AI Agents is a three-day, hands-on course for cybersecurity professionals who need to understand, attack, and defend the autonomous AI systems now operating inside enterprise environments. Every agentic system that perceives, reasons, plans, and acts is a new attack surface. This course teaches you to exploit it and protect it.

Agentic Security AI Training Delivery Methods

• Online

• Upskill your whole team by bringing Private Team Training to your facility.

Agentic Security AI Training Information

• In this course you will:

  1. Understand
  • Trace the AI architecture stack — ML, DNNs, transformers, LLMs, GenAI models, agentic systems — and identify the attack surface at each layer
  • Master agentic AI design patterns: Cognitive Loop, Planner-Executor-Verifier, multi-agent orchestration, and tool/API integration via MCP
  • Map the threat landscape: OWASP ML Top 10, OWASP LLM Top 10, NIST Adversarial ML Taxonomy, and MITRE ATLAS
  2. Build
  • Construct anomaly detection and deep learning malware classification models on real cybersecurity datasets
  • Deploy RAG pipelines integrating AlienVault OTX threat intelligence with chunk provenance validation
  • Implement multi-agent SecOps workflows using LangChain, CrewAI, or AutoGen with Apache Kafka for agent communication
  3. Attack
  • Execute all five prompt injection variants: direct, indirect, chained, multi-language, and refusal suppression
  • Conduct training data poisoning, model extraction, token inference side-channel attacks, hallucination exploits, and payload splitting
  • Perform AI-assisted memory forensic analysis using Volatility 3 to detect process hollowing, DLL injection, and advanced persistence
  4. Defend & Govern
  • Build autonomous threat detection and response workflows with human-on-the-loop oversight checkpoints
  • Apply NIST AI RMF AI 600-1, OWASP LLM Governance Checklist, and Zero Trust principles to agentic AI deployments

  Prerequisites

  2+ years cybersecurity experience; basic Python; Docker familiarity; comfort with Linux command line; understanding of common attack vectors and defensive frameworks.

  Who Should Attend:

  • Security Operations & Defensive Roles
  • Security Architecture & Engineering
  • AI / ML & Emerging Tech Roles
  • DevOps, Platform & Automation Roles
  • Governance, Risk & Compliance (GRC)
  • Leadership & Strategy Roles
  • Red Team & Offensive Security