EDB POSTGRES AI · DATA AND AI GOVERNANCE
Govern AI agents before they execute.
The only governance layer no agent can bypass. Enforced inside Postgres®, at the moment a query runs.
EDB empowers the architects of the modern enterprise
Enterprise AI governance stops at the application layer.
60% of organizations will fail to realize value from their AI use cases due to governance issues (Gartner). Today's governance tools define policy and document violations but don't block unauthorized action before it happens. Agents executing thousands of queries per week don't pause to consider intent, and they don't notice when a prompt directs them somewhere they were never authorized to go. Governance needs to move to the data layer, where execution takes place and where agents can be stopped before any data is touched.
Only 1 in 5 companies has a mature model for AI governance (Deloitte) today. Agent deployments are accelerating faster than governance frameworks can adapt.
From written policy to actual enforcement
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1 — Declare
Beyond policy docs
Every agent declares a purpose at connection: what data it can access, what actions it can take, and under what conditions. Governance doesn't just stay in policy documents.
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2 — Validate
At the data layer
Before any query runs, EDB Postgres AI (EDB PG AI) evaluates it against the agent's declared purpose at the database layer. Queries that align with declared purpose execute. Everything else is blocked or surfaced for human-in-the-loop review before any data is touched.
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3 — Enforce
No bypassing
Enforcement happens inside the database, the one point every actor—human, app, or agent—must pass through. No prompt injection or misconfigured service account can route around it.
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4 — Audit
Full context
Every session produces a complete, readable timeline: who acted, what they accessed, when it happened, and why it was authorized or blocked. You get full context at the moment it happens, not reconstructed after the fact.
See agent governance in action.
Watch how EDB PG AI enforces governance inside Postgres, as it evaluates every agent query for access and purpose as it runs.
Proof in production
enterprises lack a mature model for AI governance today.
of leaders cite security and compliance as the #1 requirement for agent deployment.
of agentic projects will fail due to incohesive governance frameworks.
layers between execution and governance enforcement.
Same trusted foundation, now extended to agents.
Mission-critical Postgres deployments trusted by the Navy for sovereign, environments requiring the highest levels of data security and operational reliability.
Mastercard runs mission-critical workloads on EDB Postgres AI—with the uptime, compliance posture, and enterprise support that global payments infrastructure demands.
EDB Sovereign Assurance Program
We don't just hand you infrastructure and wish you well.
We sell you the system. And then we ensure it runs. With included services blocks and a technical account manager, the EDB Sovereign Assurance program is a commitment to qualifying customers to provide the assistance you need for your sovereign deployment to be operational in weeks, not months.
Key capabilities
Where governance lives in the platform.
Governance occurs at the data layer, enforcing policy for every actor. EDB PG AI now extends the trust you have in your data foundation to your growing agentic workforce.
Governance across every deployment model.
EDB PG AI data and AI governance extends to every environment in which your agents operate: on-premises, air-gapped, sovereign data centers, or public cloud. The same enforcement framework, everywhere.
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RELATED CAPABILITIES
Agent Factory
Every agent built and running on EDB PG AI operates under the governance framework. Purpose, intent, access, all enforced in Postgres itself.
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RELATED CAPABILITIES
Agentic Database
Your database operates itself, within the guardrails you set. It's automation you control in your sovereign environment.
Resources
Ready to deploy agents that your board, auditors, and regulators can trust?
EDB is the only platform with governance enforced at the execution boundary—giving enterprises the control, context, and confidence to run agentic workloads at scale.
Frequently asked questions
EDB Postgres AI provides a database-native enforcement framework that governs both human users and AI agents at the execution boundary. This happens inside Postgres, where no application-layer bypass can reach. Every agent session begins with a declared purpose, every query is validated against that purpose in real time before execution, and every session produces a complete, auditable trail that details who acted, what they accessed, when it happened, and why it was authorized.
Other platforms define governance policies and surface violations in logs after queries have already run. EDB PG AI enforces governance at the database layer. Before any query executes, EDB PG AI validates it against the declared session purpose. If it does not align, the action is blocked or modified before any data is touched. No prompt injection, misconfigured service account, or application-layer workaround can bypass enforcement at this layer.
A purpose declaration is the governance profile assigned to an AI agent at the moment of connection. It defines what data it can access, what actions it can take, and under what conditions. EDB PG AI validates every agent action against that declared purpose in real time throughout the session, producing a complete, auditable timeline of what happened and why each action was authorized.
EDB PG AI produces a single, readable timeline for every agent session: who acted, what data was accessed, when it happened, and why it was authorized. Compliance teams have a single authoritative source of truth, not disconnected log files to piece together after the fact. EDB PG AI also builds on enterprise-grade Postgres data governance foundations — RBAC, SSO, TDE, and air-gapped deployment — extending them directly to agentic workloads.
No. EDB PG AI completes your governance stack, not replaces it. While catalog tools define and document what governance should look like, and gateway tools filter which tools an agent can call., EDB PG AI enforces that policy in the database where where data actually lives. The result is a governance stack where policy definition and enforcement are finally aligned.