Especially in environments where AI agents execute real work,
access control alone is no longer sufficient to manage risk.
If execution processes are not designed to be audit-ready,
even small automations can escalate into major incidents.
The core security question is no longer "Who logged in?" but
"Who executed what, and where does accountability lie?"
In the AI era, internal control cannot be solved by a single feature.
Execution risk can only be contained when fragmented control layers—including access governance,
document security, and anomaly detection—operate together as an integrated system.