ANSWER
How do I grant an AI agent safe access to my systems?
Reviewed .
Safe access for an AI agent follows four rules: start read-only, give it its own credential (never a person's), scope access to the minimum the process requires, and record every action with who, what and when. Write access comes later, in stages, with human approval on irreversible steps — and the one-click shutdown must exist before the first access, not after the first scare.
Step by step
- Create a dedicated credential for the agent, with a named human owner and recorded rotation.
- Start read-only: extraction, reconciliation and classification create value without any writes.
- Write the access rules once: allowed systems, forbidden fields, time windows and volume limits.
- Turn on per-action logging before the first run — retroactive audit trails do not exist.
- Enable writes stage by stage, with human approval on anything irreversible: payments, deletion, production changes.
How an agent does this
At AgenticosCore this is the factory default: House Rules define what the agent may do, the Trail records every action and the Brake shuts everything down in one click. During the Parallel run the agent reads the same inputs as the legacy system — production only changes after an approved cutover.
Frequently asked questions
Does the agent need admin access?
No. If the design asks for admin, the scope is wrong — break the process down until you reach the minimum necessary.
Can I reuse an employee's credential?
Never. Without a dedicated credential there is no reliable trail, and the person leaving takes the agent down with them.
What about systems without an API?
Structured reading through the interface is still access — the same rules apply: minimum scope, per-action trail and an available kill switch.
Primary sources
- AI Risk Management Framework — NIST