EDB Agent Governance v1

EDB Agent Governance is a standalone application that provides observability and oversight for AI agents operating on Postgres databases. It lets database administrators, security teams, and AI operations engineers monitor, audit, and reason about how AI agents interact with enterprise data.

The application connects to one or more upstream log sources — an EDB Hybrid Manager (HM) deployment or a standalone Grafana Loki endpoint — to retrieve the Postgres query logs that AI agents generate through the Airman Model Context Protocol (MCP) server. It presents those logs as structured sessions (logical groupings of SQL statements executed within a single AI agent interaction) with tools for filtering, inspecting, and auditing agent behavior. Because it reads from any qualifying log source, it isn't limited to HM-managed databases.

What you can do

• Reconstruct agent sessions — See every SQL statement an AI agent executed, with full metadata such as duration, target database, Postgres role, and error severity.
• Audit across multiple data sources — Connect to several HM or Loki sources at once and audit clusters across all of them from one place.
• Read a flat audit trail — Scan every statement in a session as a single filterable table, optimized for review.
• Rely on cached, incremental sync — The application incrementally syncs and caches session data, so audit views load quickly without re-querying the full log history on every visit.

Where to start

• Key concepts — the key terms used throughout the application: sessions, steps, purpose, instances, and how Airman MCP tags activity.
• Architecture and data flow — how agent activity travels from Postgres logs into the application.
• Deploying and configuring — for administrators deploying and configuring the application.
• Connecting data sources — register an HM or Loki instance so its agent sessions appear.
• Browsing sessions — find and filter the AI agent sessions detected for a cluster.
• Inspecting a session — inspect a single session step by step and read its audit log.
• Securing access and handling credentials — authentication, credential storage, and how your data is treated.

Using Agent Governance with Hybrid Manager

If your Postgres clusters are managed by Hybrid Manager, see Governance in Hybrid Manager for the HM-specific integration details — machine user API keys, HM's Loki pipeline, and project and cluster discovery.