Are you prepared for AI systems that don’t just follow instructions—but create their own goals?

Struggling to make sense of the emerging risks posed by increasingly autonomous AI systems?
Worried about how to secure, govern, and control agentic AI before it makes decisions that go beyond your intent?
Want to protect your organization from reputational, legal, or financial fallout—but don’t know where to start?

If so, Agentic AI: Navigating Risks and Security Challenges is for you.

In this practical and beginner-friendly guide, cybersecurity expert Taimur Ijlal introduces you to the evolving world of Agentic AI—systems capable of independent decision-making, self-directed goal pursuit, and autonomous action. As a seasoned security leader and AI governance advisor, he cuts through the hype and fear to deliver clear, actionable guidance on navigating this new frontier.

• The difference between traditional AI and Agentic AI—and why it matters

• The new categories of risks unique to agentic systems

• A breakdown of key concepts like autonomy, alignment, and intent mismatch

• How to assess the risk level of any AI system using simple threat model framework

• How to integrate Agentic AI risks into your existing cybersecurity policies

• Governance principles for organizations deploying or developing AI agents

Think you need to be a machine learning engineer to understand this? You don’t—this book was written for non-technical readers and security professionals alike.

Worried it’s too early to worry about this stuff? Think again—Agentic AI is already here in enterprise tools, automation systems, and autonomous agents.

Overwhelmed by AI buzzwords? This guide strips away the jargon and focuses on what you really need to know to stay protected.

If you want to future-proof your knowledge and secure the AI systems of tomorrow, grab this book today.