Recent discussions around tools like OpenClaw have highlighted an important reality about AI agents.
At Tecnet, we see AI agent risk as less of a new problem and more of a familiar one.
In many ways, introducing an AI agent is similar to bringing on a new employee or contractor. They need onboarding. They need permissions aligned to their role. And they need monitoring.
The difference is that AI agents sit somewhere between a system and a person. Unlike traditional software, they can act with a level of autonomy. With limited direction, they may take control of a user’s environment, interact with applications, and perform actions across systems.
That changes the risk model.
In many cases, AI agents are onboarded quickly and given broad system level access, while monitoring and oversight are not yet consistent. Human onboarding typically goes through structured HR processes, including vetting and training. AI onboarding, however, can sometimes happen directly by users, introducing powerful tools without the same governance controls.
This is where organizations need to slow down and apply structure.
Careful consideration of permissions, privileges, and guardrails is essential. Solutions that provide visibility into AI agent activity and system interactions are becoming a critical part of responsible adoption.
Our view is simple.
Treat AI agents like new employees.
Start with limited access. Monitor closely. Build trust over time.
In practical terms, put AI agents on probation before giving them the keys to everything.
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