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Reco AI agent security platform secures $55M funding, pivoting from SaaS mapping to broader AI defense.

Editorial illustration for Reco raises USD 55M to pivot from SaaS mapping to broader AI agent security

Reco Raises $55M to Expand AI Agent Security

• 4 min read

Reco just raised $55 million in a Series C led by Adams Street Partners, betting that the market for securing AI agents will keep growing faster than any single vendor can address alone. The Tel Aviv and New York-based startup spent its early years mapping SaaS and AI platforms for enterprise security teams. Now it's rebuilding its pitch around something bigger: a context graph that links agents to the apps, people, accounts, and permissions they touch, letting security teams see exactly what an agent can reach and shut off access it doesn't need.

That pivot puts Reco in increasingly crowded company. Crunchbase and PitchBook list at least two dozen startups selling some flavor of AI agent security, from tool vetting to data access controls to runtime detection built by names like CrowdStrike. The pitches overlap heavily: knowledge graphs, continuous monitoring, MCP vetting, governance dashboards. For CISOs already juggling the sprawl of agents running across their networks, the vendor list trying to help them is turning into its own kind of sprawl.

Reco co-founder and CEO Ofer Klein points to a shift inside enterprises over the past year as the reason the company broadened its scope.

According to Reco’s co-founder and CEO Ofer Klein, the biggest change over the past year that spurred the startup to broaden its scope was that companies are building and deploying AI agents faster than they can keep track of. At one of the startup’s Fortune 100 customers, he said, Reco’s platform found 21,000 agents the company didn’t know about.

Why this matters

Reco's $55 million round tells us less about Reco specifically and more about how fast the AI agent security category is filling up. Two dozen vendors chasing the same CISO budget line, all pitching some flavor of visibility into agent behavior, is a sign of a market still figuring out what it's actually selling. Reco's pivot from SaaS mapping to a context graph tracking agents, apps, people, accounts, and permissions is a reasonable bet on where enterprise pain will land as agent deployments scale past pilot projects.

But for founders and researchers, the crowding matters: differentiation will come down to whether these graphs catch real incidents, not just produce dashboards CISOs already have enough of. For developers building agents, this is a preview of the scrutiny coming their way, permission sprawl and unclear agent-to-system relationships are becoming a procurement question, not just an engineering one. Watch which of these vendors get design partners who can point to a stopped breach, not just a funding announcement.

Common Questions Answered

What is Reco's context graph and how does it help security teams manage AI agents?

Reco's context graph is a security framework that links AI agents to the applications, people, accounts, and permissions they access, providing enterprise security teams with complete visibility into agent behavior and potential risks. This approach allows security teams to understand exactly what each AI agent can do and who has access to critical systems, enabling better threat detection and compliance management.

Why did Reco pivot from SaaS mapping to AI agent security?

Reco pivoted because companies are building and deploying AI agents much faster than they can track and secure them, creating a critical gap in enterprise security. At one Fortune 100 customer, Reco's platform discovered 21,000 previously unknown agents, demonstrating the urgent need for comprehensive AI agent visibility and security solutions.

Who led Reco's Series C funding round and how much capital did the company raise?

Adams Street Partners led Reco's Series C funding round, which raised $55 million for the Tel Aviv and New York-based startup. This funding enables Reco to expand its AI agent security platform and address the rapidly growing market demand for enterprise AI agent protection.

What does the crowded AI agent security market indicate about enterprise needs?

The presence of two dozen vendors competing for the same CISO budget line suggests that the AI agent security category is still in its early stages and figuring out what solutions enterprises actually need. This market fragmentation indicates that enterprise pain points around AI agent management and security are significant and not yet fully addressed by existing solutions.

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