Reco, an AI security startup that previously focused on mapping and securing SaaS and AI platforms, has raised $55 million and rebranded around a broader solution for AI agent security. The company now uses a context graph to link agents to apps, people, accounts and permissions, giving security teams visibility into what each agent can access and the ability to cut off unnecessary privileges.
CEO and co-founder Ofer Klein told TechCrunch that the shift was driven by enterprises deploying AI agents faster than they can track. At one Fortune 100 customer, Reco’s platform discovered 21,000 agents the company did not know about. At a large financial services client, the startup identified an agent set up by a former employee that could access Salesforce and share data with a domain the company could not see.
“The market demand right now for agent security is not only about the agent itself; it’s about the entire ecosystem end-to-end,” Klein said.
Reco is not alone in chasing this opportunity. Public deal records show at least two dozen companies now selling some form of AI agent security. Approaches vary: some vet the tools agents use, others control data access, and firms like CrowdStrike are building detection and response controls on the devices agents run. Still others focus on finding unapproved AI usage. Despite different tactics, most vendors promise to discover and govern agents using knowledge graphs, continuous monitoring, runtime security and MCP vetting.
Reco’s funding round arrives as the market for AI agent security rapidly takes shape, with enterprises struggling to keep pace with the proliferation of autonomous software agents.