AI Primer

Agentic AI · Module 22

Why safety layers matter (and how they’re built)

Autonomous agents can act on the world. The interesting engineering problem is bounding what they do, with what evidence, under whose authorisation.

Permit chokepoint

Every autonomous action must pass a fail-closed permit check before execution.

Dry-run mode

New action types simulate for 30 days; nothing ships to the real world.

Audit log

Every attempted action is recorded before it executes.

Anomaly detection

A continuous adversarial check observes the audit log for drift.

Kill switch

Operator can disable all autonomy with one toggle.

Applied frame

Convert capability into a bounded work loop with tools, memory, permits, review, and audit.

Diagram cue

The diagram keeps autonomy wrapped in observable control points.

Safety-layer diagram showing policy, permission, evidence, and audit layers
Safety is built from controls that make action reviewable.
Why safety layers matter animated explainer
Owned Edwy animated explainer for Why safety layers matter.

Safety comes from layered permissions, evidence, review, and audit. Key motion beats: policy, permission, evidence, audit.

Safety layers check

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Source slide 23