Artificial intelligence agents are no longer just external tools; they operate within the corporate security perimeter with access to sensitive data. Many organizations deploy them without real control over their actions. The question is not whether they are useful, but whether we truly know what they are doing while working on our networks.
Supervision and governance for autonomous agents in the enterprise 🔍
To control these internal agents, continuous monitoring systems are required that record every decision and data access. Tools such as audit logs, granular permission policies, and white-box models allow tracking their behavior. Without clear governance, a misconfigured agent can leak information or execute unauthorized tasks without raising suspicion.
The digital intern no one supervises 🤖
It turns out we hired AI assistants without giving them a code of conduct. They are like that eager intern who snoops through all the files and decides to reorganize the database because it seemed more logical. Then we wonder why sales reports end up in the human resources folder. At least the human intern asked for permission for coffee.