Agentic AI Security & Governance: Build Safe AI Agents

About this course

Agentic AI Security & Governance: Build Safe, Secure & Trusted AI Agents

The future of Artificial Intelligence is Agentic AI, autonomous AI agents capable of reasoning, planning, making decisions, using tools, accessing APIs, interacting with databases, communicating with other agents, and executing complex workflows with minimal human intervention.

However, as AI agents become more autonomous, they also introduce entirely new security, governance, compliance, and trust challenges.

How do you protect AI agents from Prompt Injection Attacks?

How do you secure Model Context Protocol (MCP) servers and tools?

How do you establish trust and identity between agents using Agent-to-Agent (A2A) communication?

How do you implement AI Governance, Policy Enforcement, Human-in-the-Loop Controls, and Risk Management?

How do you monitor, audit, and secure AI agents operating in production environments?

In this comprehensive course, you will learn how to design, secure, govern, monitor, and deploy production-ready AI agents using industry-leading security practices, governance frameworks, and real-world architectures.

You will explore critical topics, including Agentic AI Security, AI Agent Governance, Prompt Injection Defense, MCP Security, A2A Security, Agent Authentication, Authorization, Trust Management, AI Risk Assessment, Audit Logging, Observability, Compliance, AI Red Teaming, and Secure Multi-Agent Systems.

The course also covers globally recognized frameworks and standard

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