The team that built EDB’s audit log viewer joins the company’s governance engineering organization to extend enforcement and evidence across Postgres®and ClickHouse® software
WILMINGTON, Del., Nov. 12, 2026 /PRNewswire/ — EnterpriseDB (EDB), the leading sovereign data and AI company, today announced that it has hired the agent-native engineering team, formerly of CMRD, that built the enterprise audit and evidence surface for EDB’s agent governance solution. The news follows EDB’s acquisition of Altinity, which brings together expert teams behind two of the world’s most popular open source databases, Postgres and ClickHouse software. With both engines in one system, the governance layer decides what every agent may read, run, and return. The addition of this team strengthens how EDB Postgres AI (PG AI) enforces and proves every one of those decisions.
IDC projects that more than 1 billion AI agents will be actively deployed worldwide by 2029, executing over 217 billion actions per day. Each of those actions has to be permitted or blocked before it runs, recorded as it happens, and explainable afterward, whether it runs on Postgres or ClickHouse software. That is why PG AI is enforcing governance at the data layer, at the point of action—determining what agents can access and do, with an audit trail and the off switch in the customer’s hands.
“Governance is already at the core of PG AI. Acquiring this team is a direct, permanent investment in that work. These engineers build the way agents work and know our governance services. Bringing them inside EDB lets us deliver enforcement, audit, and evidence at the data layer faster, with the customer in control,” said Kevin Dallas, CEO, EDB. “We give customers the controls and the proof they need to trust their agents.”
A small, senior team built to one standard
Every engineer on the team earned a place at CMRD through a hiring process that accepts fewer than 1% of applicants, and was trained there to one shared standard. The team brings more than 55 years of combined professional engineering experience, most of it at the senior and principal levels, across more than 10 regulated and enterprise domains: defense and government, healthcare and life sciences, financial services, insurance and catastrophe-risk modeling, logistics, and telecommunications.
Already shipping inside EDB Postgres AI
These engineers’ work is already part of how EDB serves its customers. Working alongside EDB’s sovereign control plane and governance engineering teams, the CMRD team built the audit and evidence surface for PG AI’s governance layer, guided tooling that helps customers design and deploy distributed Postgres environments, and tools that help EDB’s forward-deployed teams provision customer data and AI systems faster. Because the team built all of this on PG AI, alongside EDB’s engineers, it arrives already knowing EDB’s enforcement model, domain, and code base. Joining EDB changes where these experts sit, not what they work on.
“We have built for EDB Postgres AI across several engagements and know the AI data system and the people. Joining EDB lets our team own governance for the long term, with every engineer working alongside AI agents. We see every day where an agent can overreach, and that is exactly what governance has to catch,” said Christopher Mitchell, principal engineer at EDB and former managing partner of CMRD.
Engineers who know how agents fail
These engineers know agentic systems from the inside, because they build with them every day. The team works 1+1: Every engineer is paired with an AI agent on every build, so the team sees firsthand how agentic systems fail and what has to be governed. They have built platforms where a user describes a goal in plain language and AI agents assemble, run, and repair multistep data workflows. They route production work across multiple frontier models with tool and function calling, and they build AI into their own delivery pipeline, including an in-house GitHub Action that drafts release notes and opens release pull requests. That experience shows where agents reach past their permissions, chain actions no one intended, or touch data they should not see. That knowledge now goes directly into how PG AI enforces governance at the data layer, at the point of action.
One set of controls across engines and deployments
EDB will extend the team’s audit and evidence work so that agent policy, audit, and evidence apply under one set of controls to both Postgres and ClickHouse software. The Altinity integration roadmap includes a shared Apache Iceberg catalog and consistent access controls across the two engines. The goal is for the same governance to apply in every deployment mode on EDB’s roadmap: bring-your-own-cloud (BYOC); developer cloud; on-premises; and physical far edge for air-gapped, local hardware.
About EDB
EDB Postgres AI (PG AI) is the sovereign AI data system for the agentic enterprise. Built on Postgres, the world’s leading open source database, PG AI unifies transactional, analytical, and AI workloads in a single architecture, eliminating the data movement, ETL, and operational fragmentation that slow enterprises down. With governance enforced at the data layer and the flexibility to deploy on-premises, in hybrid environments, or across clouds, enterprises operationalize their data and AI on infrastructure they own and control—reaching production-ready sovereign AI in weeks, not months. As one of the most active contributors to the PostgreSQL project, EDB is deeply invested in the vitality of the global open source community. To learn more, visit www.enterprisedb.com.
The software and services described in this announcement are provided by EDB and Altinity, not ClickHouse, Inc. This announcement does not imply sponsorship or endorsement by ClickHouse, Inc. Altinity is an independent company and is not affiliated with ClickHouse, Inc. ClickHouse is a registered trademark of ClickHouse, Inc. clickhouse.com.
EnterpriseDB and EDB are registered trademarks of EnterpriseDB Corporation. Postgres and PostgreSQL are registered trademarks of the PostgreSQL Community Association of Canada and used with their permission. All other trademarks are owned by their respective owners.
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