Reco builds momentum to secure the enterprise AI agent sprawl

· Source: Dataconomy · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Cybersecurity & Data Privacy, Emerging Technologies & Innovation · Depth: Fundamental Awareness, quick

Summary

Reco, an AI agent security platform, is gaining traction among global enterprises by addressing the significant challenge of unmanaged AI agent sprawl. Research indicates machines outnumber people 45 to 1 in the average enterprise, creating a complex landscape of unmonitored credentials and tokens. Reco's platform discovers, governs, and secures AI agents, their identities, and associated SaaS connections. The company recently announced leadership and geographic expansion, including a new COO, Zoe Hillenmeyer, and new offices in Texas and the UK. This follows substantial growth, with Reco closing a \$30 million Series B in February, bringing total funding to \$85 million, and reporting 400% revenue growth in 2025 after a 500% jump in 2024. While only 17% of organizations currently deploy AI agents, over 60% anticipate doing so within two years, highlighting the critical need Reco aims to fulfill. Customers praise the platform's "painless" deployment and rapid environmental insight.

Key takeaway

For Directors of AI/ML or AI Security Engineers evaluating enterprise security, recognize that your organization's AI agent sprawl presents an immediate, unaddressed risk. Traditional security tools are inadequate for the unique credentials and permissions generated by AI agents. You should prioritize solutions that offer rapid deployment and comprehensive discovery, governance, and security for these non-human identities. Consider platforms that promise "painless" integration and provide quick, clear insights into your AI agent footprint, as this can significantly reduce operational overhead and exposure.

Key insights

Enterprise AI agent proliferation creates critical security vulnerabilities unaddressed by traditional tools.

Principles

In practice

Topics

Best for: CTO, VP of Engineering/Data, Executive, AI Security Engineer, Director of AI/ML, Investor

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Editorial summary, takeaway, and curation by AIssential. Original article published by Dataconomy.