Que s'est-il passé
Reco secured an additional $55 million in financing, raising its total capital to $140 million. The round was led by AT&T Ventures, which also joined as a strategic investor, alongside new investors Forestay and Quadrille Capital. The company will use the funds to grow its sales, partnership, channel, and customer‑support operations as large enterprises deploy more autonomous AI agents across business applications and workflows. Reco’s platform maps relationships among AI agents, human identities, applications, permissions, data, and workflows, offering over 280 application integrations and 1,000 detection controls. The firm cites Gartner research forecasting that Fortune 500 companies could operate more than 150,000 AI agents by 2028, up from fewer than 15 in 2025, and market forecasts valuing the global AI‑agent security market at $1.3 billion in 2025, potentially reaching $17.8 billion by 2033.
The financing round added $55 million to Reco’s capital, bringing total funding to $140 million. AT&T Ventures participated both as an investor and as a customer, highlighting a strategic alignment between the platform and enterprise needs.
Reco plans to allocate the capital toward expanding its commercial organization, including sales teams, partnership development, channel operations, and customer support, to meet rising demand for AI‑agent security.
The platform currently supports more than 280 enterprise application integrations—including OpenAI, Anthropic, Microsoft Copilot, Salesforce, ServiceNow, and Workday—and offers 1,000 detection controls to identify risky agent behaviors.
Détails de la source: citybiz.co ↗
Pourquoi c'est important
Enterprise adoption of autonomous AI agents is accelerating, creating new attack surfaces that traditional security tools are not designed to monitor. By providing visibility into how agents access applications, data, and identities, Reco addresses a growing gap in identity‑and‑access‑management (IAM) and application‑security controls. The involvement of AT&T Ventures signals confidence from a major telecom and enterprise customer that such capabilities are essential for securing AI‑driven workflows. As organizations look to scale AI adoption without compromising security, platforms that can map and remediate risky agent permissions become critical infrastructure, potentially shaping how future frameworks are built.
AI agents can acquire permissions across multiple systems, creating complex, interdependent privilege chains that traditional security tools may miss. Reco’s graph‑based approach provides a unified view of these chains, enabling security teams to pinpoint and remediate over‑privileged or compromised agents.
The projected growth of AI agents—from under 15 per Fortune 500 firm in 2025 to over 150,000 by 2028—suggests a rapid expansion of the attack surface. Effective governance will be essential to prevent data breaches and operational disruptions.
AT&T’s dual role as investor and customer underscores the practical need for such solutions in large, regulated enterprises, and may encourage other corporations to adopt similar security frameworks.
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Que regarder ensuite
Future developments to monitor include Reco’s rollout of new sales and channel initiatives, the onboarding of additional enterprise customers beyond AT&T, and any announced integrations with emerging AI providers. Analysts will also watch market adoption rates of AI agents in Fortune 500 firms and whether regulatory bodies issue guidance on AI‑agent governance, which could drive demand for Reco’s solutions. Finally, competitive moves by other security vendors entering the AI‑agent space could affect Reco’s market positioning.
The pace at which Reco adds new enterprise customers and expands its integration catalog, especially with emerging AI model providers.
Potential regulatory developments around AI‑agent governance that could mandate visibility and control mechanisms similar to those offered by Reco.
Competitive activity from other cybersecurity firms entering the AI‑agent security market, which could influence pricing, sets, and adoption rates.