Most AI agents start without guardrails. The prototype works, the demo impresses, and suddenly the agent is in production with no policy enforcement, no content scanning, and no audit trail. Migrating from this state to a properly secured deployment requires a methodical approach that avoids breaking existing functionality.
Install Authensor in audit-only mode. The agent continues to operate exactly as before, but every action is logged to the audit trail.
npm install @authensor/sdk
Configure the SDK to wrap your agent's tool calls with logging but no enforcement:
version: "1.0"
name: "observe-only"
defaults:
action: allow
log: true
During this phase, collect data on what tools the agent calls, how frequently, with what parameters, and in what sequences. This data forms the foundation for your policy.
Review the collected audit data. Identify:
Use these observations to draft your first policy. Start with a permissive policy that denies only clearly dangerous actions.
Switch to shadow mode evaluation. The policy engine evaluates every action and records whether it would allow or deny it, but does not actually block anything.
Compare the shadow evaluation results against actual outcomes. Are the deny decisions correct? Would any legitimate actions have been blocked?
Enable policy enforcement. Start with the rules you are most confident about. Use a staged approach:
Enable Sentinel behavioral monitoring. Calibrate baselines from the data collected in Phase 1. Set up alerts for anomalous behavior.
The entire migration can be completed in six weeks without any service interruption. Each phase builds on the previous one, and the agent continues operating throughout.
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