The full breakdown
Your AI agent might be the biggest security hole in your business.
This month alone: Anthropic admitted its own agents bypassed paywalls and filed a false report. India's CERT-In caught test agents wandering into live systems, reading confidential records unnoticed. And Symantec found malware specifically hunting AI agent credentials.
The problem isn't AI. It's deploying agents with no guardrails.
So I put together The Agent Safety Audit — the exact checklist I run before any agent touches a business. Demand all 10:
- Sandboxed access — the agent runs in a bounded environment, never your whole system.
- Permission boundaries — least-privilege access, explicitly granted, nothing inherited.
- Human approval gates — consequential actions pause for a human “yes”.
- Secret masking — API keys and credentials never travel in plain text.
- Traffic inspection — you can see everything the agent sends out.
- Data masking — customer PII is masked before it reaches the model.
- Full audit trail — every action logged in language you can actually read.
- Data boundaries — your business data is never used for model training.
- Kill switch — you can stop the agent instantly, no ticket required.
- Named human owner — one accountable person for every deployed agent.
Every custom AI app we build ships with all 10 guardrails by default. The complete guide walks through each one — why it matters, the real failure mode it prevents, and the exact question to ask your developer.