The autonomous enterprise introduces a new era of security challenges as agentic AI systems move beyond simple generative AI tools to become active participants in business operations. Unlike traditional AI applications, AI agents operate continuously, maintain context, and execute multi-step workflows across enterprise environments, often interacting with sensitive data and critical systems. This shift requires organizations to rethink security strategies, as conventional controls were not designed to monitor or govern autonomous AI behavior. The framework emphasizes three essential capabilities: visibility into which AI agents are operating, observability into how they access and use sensitive data, and controls that can prevent risky actions before they lead to data exposure or business

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