The Agentic AI Security Masterclass

What you'll learn in this Udemy Course

• ✓ How agentic AI systems differ fundamentally from traditional software and why those differences create new security risks
• ✓ How autonomous agents plan, reason, delegate, and act — and how those behaviors fail in real-world systems
• ✓ Why traditional cybersecurity controls are necessary but insufficient for securing agentic AI
• ✓ How agent goals drift, get hijacked, or become misaligned without any explicit attack
• ✓ How agent goals drift, get hijacked, or become misaligned without any explicit attack
• ✓ How memory, context, and retrieval systems become long-term security liabilities
• ✓ How multiple agents interact, collude, and amplify each other’s mistakes
• ✓ How human trust, bias, and automation habits are exploited by agentic systems
• ✓ How to design secure agent architectures with clear boundaries, roles, and enforcement points
• ✓ How to apply identity, access control, sandboxing, and least privilege to non-human agents
• ✓ How to detect behavioral drift, reward hacking, and emergent rogue behavior early
• ✓ How to design and enforce autonomy boundaries, constraint engines, and kill switches
• ✓ How to build observability into agent decisions, plans, and actions
• ✓ How to threat-model, red-team, and harden agentic systems for production
• ✓ How to govern, monitor, and safely evolve autonomous systems over time
• ✓ How to think critically and responsibly about deploying agentic AI in real organizations