Reco Raises $50M Backed by AT&T to Secure AI Agents
Cybersecurity firm Reco secured $50 million, with AT&T among backers, to build tools that monitor and govern autonomous AI agents operating inside enterprise systems.
Reco, a cybersecurity company known for securing software-as-a-service environments, has raised $50 million in new funding, with backing from AT&T. The company is directing the capital toward securing AI agents — the autonomous software systems that businesses are increasingly deploying to complete tasks, access data and act on behalf of employees or customers.
The investment signals a shift in Reco's focus from traditional SaaS security toward a newer and less understood risk category: the identities, permissions and behaviors of AI agents operating inside enterprise systems. AT&T's participation gives the round added weight, pointing to demand from large, infrastructure-heavy organizations for tools that can monitor and govern AI agents as they proliferate across corporate networks.
As enterprises hand more operational authority to AI agents — letting them retrieve data, trigger workflows or interact directly with customers — the security perimeter is quietly expanding to include machine identities that behave unpredictably and often outside traditional oversight. Funding rounds like this one confirm that securing agentic AI is becoming its own category, distinct from securing the humans and apps that used to define enterprise risk.
For leaders running digital transformation programs, this is a signal to treat AI agent governance as infrastructure, not an afterthought. Every new agent added to a workflow is effectively a new actor with access to systems and data — and one that needs the same rigor around permissions, monitoring and accountability as any employee or third-party vendor.
— $50 million raised by Reco in the new funding round backed by AT&T.
The interesting part of this story isn't the dollar figure — it's what the investment says about where trust breaks down as AI moves from advisory tool to autonomous actor.
Most organizations are racing to deploy AI agents faster than they can answer a basic service-design question: who is accountable when an agent makes a decision a customer or employee never sees coming? Security funding like this is really a bet that governance, not capability, will be the bottleneck on AI adoption. The operators who win won't be the ones with the most agents — they'll be the ones who can explain, in plain language, exactly what every agent is allowed to touch and why.
