AI agents are transforming how enterprises work. Unlike AI assistants, agents can plan, decide, call tools, access data, and act across connected systems—often without human oversight.

That autonomy introduces new risks. When an agent misinterprets intent, makes an unsafe tool call, follows malicious instructions, or moves data through ungoverned paths, the result can be data exposure, disruption, regulatory consequences, and loss of trust.

Securing AI Agents: A Practical Guide for Cybersecurity Leaders offers guidance for reducing AI agent risk while supporting innovation.

In this guide, you’ll learn:

• How AI agents are challenging existing security models
• Where agent-specific risks are emerging, from semantic privilege escalation to multi-agent delegation
• Why intent-based access control (IBAC), agent integrity, and runtime visibility are essential
• How to strengthen security with agent inventories, integration controls, human approvals, transaction forensics, and AI-ready data security

Download the guide to learn where AI agents fail—and what controls to put in place now.