Your copilot does not break in. It is invited.
An AI agent answers with the permissions of whoever asks it. Every broken ACL and every share that quietly resolves to Everyone becomes a correct, well-formatted answer — no attack required.
Syslog CEF and REST, into the tool you already run
The permissions were always wrong. Search just made it matter.
No attack took place. The agent answered with the rights the asking user already had.
Obscurity was the control
Finding a misfiled salary spreadsheet required knowing it existed. Semantic search removed that protection in one quarter.
The model is not the problem
Guardrails do not change what the agent is allowed to read. Fix the data layer, not the prompt.
Agents are a new identity
An agent acts continuously, at machine speed, with delegated rights. An annual access review does not describe it.
Make the data AI-safe before you widen the rollout.
This is the part a cloud platform cannot do for on-premises data without first copying it somewhere else — which is the problem you were trying to solve.
Let’s solve your data challenges.
Connect with our engineers to find the right approach for your infrastructure.
AI-safe and sovereign are the same project.
For a hospital, a utility or a public authority, the fastest route to trusted AI is not a bigger model. It is knowing what the model can see — proven on infrastructure that never leaves the jurisdiction it answers to.
- Which sensitive files can the agent reach today?
- Which of those permissions are accidents?
- Can you show an auditor what it read last month?
Talk to an engineer who knows your data.
Four fields, and somebody who knows ONTAP, PowerScale and what FPolicy does. Not a qualification call.