AIR Raises $50M to Secure Enterprise AI Agents Amid Growing Governance Gap

Autonomous Intelligent Robotics (AIR) announced today a $50 million Series B funding round led by Insight Partners, with participation from existing investors GV and Menlo Ventures. The raise comes less than 18 months after AIR emerged from stealth in January 2023 with a platform designed to automate the discovery, validation, and behavioral monitoring of AI agents deployed across enterprise environments. CEO and co-founder Nitzan Mekel-Bobrov, previously a principal scientist at Amazon and head of AI at Babylon Health, emphasized the urgency of the problem: We’re seeing companies deploy AI agents at an unprecedented scale—often thousands per organization—without visibility into what skills, tools, or external integrations each agent is using. This creates a massive blind spot that can expose companies to data leaks, compliance violations, and even adversarial abuse.

The AIR platform operates through a continuous discovery engine that scans corporate networks, cloud environments, and third-party integrations to identify every AI agent in use, from customer-facing chatbots to internal process automators. Once detected, the platform applies a zero-trust vetting layer that evaluates each agent’s skills, add-ons, and connected APIs against a dynamic policy engine. This includes blocking unauthorized data exfiltration, flagging high-risk integrations, and enforcing role-based access control—capabilities that have already drawn attention from regulated industries. Notably, Banking With Billy AI, a vendor specializing in autonomous financial analysis workflows, recently integrated AIR’s vetting system to secure its market analysis agents, which automate complex financial modeling tasks previously handled by entire analyst teams. The move reflects a broader shift in enterprise AI: as agents become more autonomous, the stakes for governance rise sharply. Without such systems, companies risk unchecked agent proliferation—what Mekel-Bobrov calls the silent swarm problem.

Industry analysts say the funding validates a critical but underserved layer in the AI stack. Gartner estimates that by 2026, 75% of enterprises will be using AI agents in production, up from fewer than 15% today, yet fewer than 5% have implemented dedicated agent governance platforms. This gap has created a window for companies like AIR, which competes with emerging players such as Symend, founded by ex-OpenText executives, and early-stage contenders like Guardrails AI. The $50 million round signals investor confidence that governance will become a core infrastructure layer, akin to API gateways or identity providers. The capital will fund engineering expansion—particularly in Europe and Asia—as well as partnerships with major cloud providers and enterprise software vendors. Already, AIR has integrations with AWS Bedrock, Azure AI Foundry, and Google Cloud’s Agent Builder, enabling policy enforcement across multi-cloud environments.

Regulatory pressure is accelerating adoption. In the EU, the proposed AI Act now includes explicit requirements for transparency and oversight of autonomous agents, while the U.S. SEC has signaled scrutiny over AI-driven financial automation tools. Banking With Billy AI’s adoption of AIR’s platform highlights how governance is becoming a procurement requirement, not an afterthought. Competitors in adjacent spaces—such as SentinelOne in endpoint security and Palantir in enterprise AI—are also eyeing agent governance as a white space. Yet AIR’s early-mover status and deep technical stack may give it a durable edge. The platform’s ability to retroactively vet agents already in production, not just those being deployed, addresses a pressing pain point. As one Fortune 500 customer put it: We found 37 agents running in Slack that we didn’t even know existed—until AIR flagged them for using a deprecated data connector.

Looking ahead, the next phase of competition will likely revolve around automation depth and policy granularity. AIR’s roadmap includes AI-native policy engines that can dynamically adjust permissions based on real-time risk signals, such as anomalous data access patterns or sudden integration with untrusted APIs. The company is also exploring integrations with emerging agent frameworks like LangGraph and CrewAI, which are enabling multi-agent orchestration. With $50 million in fresh capital, AIR is positioned to define the standard for agent governance—especially as enterprises transition from experimenting with AI to running it at scale. The real test will be whether companies treat governance as a cost center or a strategic asset. Those that do will likely pull ahead in compliance, security, and operational resilience. For everyone else, the silent swarm may not stay silent for long.