Library / Artificial Intelligence

Strategies in Secure AI Systems: From GenAI and Agentic AI

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About this course

Master AI Security in the Age of Autonomous Systems: The Complete GenAI & Agentic AI Defense StrategyAre you ready to defend against the next generation of AI threats? The attack surface has fundamentally changed—and traditional security is no longer enough.

In an era where AI systems autonomously make decisions, generate content, and interact with critical infrastructure, a new paradigm of vulnerabilities has emerged. Welcome to the "Semantic Shift"—where attackers no longer exploit code syntax but manipulate meaning and intent itself.

Why This Course Is Essential for Your Career

For Security Professionals: Traditional application security focused on SQL injection and buffer overflows. Today's threats? Prompt injection attacks that hijack AI reasoning, data poisoning that corrupts model behavior, and cascading failures across multi-agent systems. This course bridges the gap between classic AppSec and the emerging AI threat landscape.

For AI/ML Engineers: Building cutting-edge AI systems means nothing if they can be compromised through semantic manipulation. Learn to architect secure-by-design AI applications that withstand real-world adversarial tactics documented in MITRE ATLAS™.For Compliance & Risk Leaders: Navigate the complex web of AI regulations—from the EU AI Act's risk tiers to US Executive Order 14110 and FDA Predetermined Change Control Plans. Transform regulatory requirements into actionable security controls.

What Makes This Course Different

Industry-Leading Frameworks Integrated:

OWASP Top 10 for LLM Applications (2025) – Master the latest vulnerabilities from Prompt Injection to Supply Chain attacksOWASP Top 10 for Agentic AI (ASI) – Learn unique risks in autonomous systems: Agent Goal Hijacking, Tool Misuse, Identi

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