The rapid adoption of agentic AI is radically shifting how enterprises operate, automate workflows and interact with digital systems. Autonomous AI agents — intelligent systems that are capable of executing commands, accessing sensitive data and making decisions on behalf of users — represent both tremendous business opportunities and profound security risks. AI agents exist in a liminal space between tools and actors. Unlike traditional software applications that operate within clearly defined boundaries, they possess agency, make autonomous decisions and interact with systems using credentials and permissions. This creates a fundamental identity problem and one of the most pressing challenges in enterprise cybersecurity today: Who or what is truly responsible when an agent takes an action? Is it the human who deployed the agent, the organization that owns the infrastructure or the agent itself?

Full opinion : How to fix cybersecurity’s agentic AI identity crisis.