AI-Research

AI Agent Safety and Observability

Guardrail patterns, runtime telemetry, and intervention workflows for safer autonomous systems.

Overview

Define tool-permission boundaries and escalation paths before enabling autonomous actions.

Instrument traces for every decision step so failures are explainable and debuggable.

Build layered guardrails: policy filters, context constraints, and final action confirmation checks.

Use post-run reviews to tune prompts, constraints, and fallback behavior with measurable safety targets.