REGAL: A Registry-Driven Architecture for Deterministic Grounding of Agentic AI in Enterprise Telemetry

Researchers present REGAL, a registry-driven architecture that enables AI agents to work deterministically with enterprise telemetry data from systems like CI/CD pipelines and observability platforms. The system addresses key challenges of grounding Large Language Models on private enterprise data through structured data processing and version-controlled action spaces.