Webinar: How to Govern AI Agents, Reduce Excessive Access, and Control Shadow AI
Summary
AI agents are being deployed in production environments rapidly, often without the robust security controls applied to human users. This lack of governance is concerning as these agents connect to applications, handle sensitive data, and interact with business systems. Many CISOs express low confidence in their ability to even identify all AI agents within their organizations.
IFF Assessment
The article highlights significant security risks and challenges in governing AI agents, indicating a potential increase in the attack surface and new vulnerabilities for defenders to manage.
Defender Context
Organizations need to proactively establish strong governance frameworks for AI agents, including comprehensive identity and access management, continuous monitoring, and incident response plans. Understanding the scope and capabilities of deployed AI agents is crucial for mitigating risks of unauthorized access and data compromise.