The Governance Layer AI Agents Need
As autonomous AI agents proliferate across enterprise SaaS stacks, the gap between what agents can do and what they should do keeps widening. AgentAction Control exists to close that gap.
Our Story
AgentAction Control was born from a simple observation: enterprises are deploying AI agents faster than they can govern them. Internal copilots write to CRMs. Support bots resolve tickets in Jira. Revenue agents update pipelines in Salesforce. Each action carries risk — credential exposure, data leaks, compliance violations — and most organizations have no centralized way to control it.
We built AgentAction Control to give security, compliance, and platform teams a single control plane for every AI-initiated action across their SaaS stack. Think of it as the policy enforcement point that sits between your agents and the tools they operate — approving, denying, redacting, and logging every request in real time.
Our founding team has spent years building infrastructure at the intersection of security, identity, and automation. We understand that governance cannot be an afterthought — it has to be embedded in the action path itself, with latency low enough that agents stay fast and audit trails rich enough that compliance teams stay confident.
Our Mission
Make autonomous AI operations trustworthy by default. We believe enterprises should be able to deploy agents at scale without sacrificing security, compliance, or visibility. AgentAction Control provides the infrastructure to make that possible — so teams can move fast without moving blind.
What We Stand For
Security First
Every design decision starts with the question: does this make autonomous AI operations safer? We never trade security for convenience.
Clarity Over Complexity
Governance should be understandable. Our policies, audit logs, and dashboards are built for humans who need to make fast, confident decisions.
Built for Teams
Security, compliance, platform, and AI engineering teams all need a seat at the governance table. We build for cross-functional collaboration.
Zero-Trust by Default
Agents earn trust through policy. No action is implicitly allowed. Every credential is scoped, every decision is logged, every workflow is traceable.
Ready to Secure Your Agent Operations?
Join the teams building AI-first workflows with governance built in from day one.