Galileo has released Agent Control, an open source control plane designed to help enterprises centrally govern and safely scale AI agents across platforms.
Galileo has released Agent Control, an open-source control plane designed to help organizations define, manage, and enforce behavioural policies across AI agents from a centralized system. The platform allows developers to write policies once and deploy them across any agent environment, enabling scalable enterprise governance for AI agents.
Released under the Apache License 2.0, the project is vendor neutral, community supported, and designed to eliminate vendor lock-in. Agent Control enables portable policies that work across different AI agents, guardrails, and evaluation frameworks, establishing an open governance infrastructure for enterprise AI deployments.
The platform addresses a major industry challenge. Many AI agents fail to reach production due to trust, safety, and governance concerns. Instead of requiring engineers to hard-code controls into individual agents, Agent Control introduces centralized policy management that can orchestrate and enforce guardrails at scale.
Core capabilities include a centralized control plane to govern agent behaviour across systems, runtime mitigation that allows real-time policy updates without taking agents offline, universal compatibility with internally built or purchased agents, and support for guardrail evaluators from any vendor as well as custom enterprise evaluators.
Early integrations include Strands Agents, CrewAI, Glean, and Cisco’s AI Defense to help organizations deploy centralized agent governance faster.
According to predictions from International Data Corporation, G2000 agent use is expected to grow 10× by 2027 while token and call loads could increase 1000×, making agent vetting, orchestration, and optimization critical IT responsibilities.
“The number one blocker for enterprise agents is no longer the models — those are getting better every day. To graduate agents to production, the industry needs transparent, community-driven guardrails. Open source projects like Agent Control are exactly the kind of open standards the industry needs to make autonomous agents safe for the enterprise,” said Dev Rishi, GM of AI at Rubrik.
Tim Law, Research Director for AI and Automation at International Data Corporation, added: “Centralized management of policies can help organizations to manage AI agent behaviors. A unified control plane and centralized governance of agents can help organizations efficiently deploy AI agents at scale. Organizations that embrace eval engineering as a core competency will shorten the time to value for their AI investments. By taking a lifecycle approach, organizations can achieve a continuous improvement loop for AI systems.”
Yash Sheth, co-founder and CTO of Galileo, said: “We’ve had a front-row seat to agent development at Fortune 500 and digital-native companies. They have been struggling to hard-code safety rules and controls into each agent which makes them brittle. With Agent Control, developers can now create policies in one place and then use those to enforce guardrails everywhere. We decided to make this open source so every agentic platform and every enterprise can leverage this critical infrastructure for all AI agents.”
