AI Agents in the Enterprise: The Security Risks Leaders Can’t Afford to Miss
Where 5 Popular AI Agents Need Identity Security Most
With the rapid adoption of AI, a hidden security risk is emerging. Organizations are deploying AI agents for tasks such as resetting passwords to deploying production code, but the identity frameworks built to govern them haven't kept pace. This creates a dangerous gap between what AI agents can do and what security programs are built to control.
This isn't a future problem—it's happening now. 91% of organizations are already running AI agents, but only 54% can see exactly what their agents are doing. The rest are operating as "rogue actors" without oversight. This identity gap has real and costly consequences.
Developing a security strategy that gives the right agents access to the right resources at the right time is critical. Get the AI Agents in the Enterprise report to learn how to navigate the identity risks hidden in common AI agent use cases and build a comprehensive security framework before it's too late.
Download your copy of the report to learn:
- The top five most common AI agent use cases and their biggest identity risks
- How to map key identity risks to the correct remediation solutions
- A two-layer defense for securing and governing agents across your enterprise
