Rig Security Raises $12M to Combat AI Agent Identity Risks

Rig Security has emerged from stealth mode with $12 million in seed funding to address the security challenges posed by autonomous AI agents. The Tel Aviv-based startup is developing an identity protection platform designed to manage the risks associated with the “agentic era” of artificial intelligence.

The funding round was led by Ten Eleven Ventures and Brightmind Partners, with additional participation from the CrowdStrike Falcon Fund and various angel investors. The company was founded in 2025 by CEO Guy Kozliner, a former member of the technology team at Wiz.

The Challenge of Autonomous Agent Identities

A critical security gap exists when autonomous AI agents adopt the identity of a developer or a specific service. Once deployed, these agents operate with the same permissions as their assumed identity. Current security information and event management (SIEM) tools often lack the capability to distinguish between a legitimate action taken by a human user and a potentially rogue action taken by an AI agent acting under that user’s credentials.

This creates a significant remediation dilemma for security teams. While the standard response to suspicious activity is to disable the compromised account, doing so in the case of an AI agent also blocks the legitimate employee whose identity the agent is using. This makes traditional account suspension an unusable response for managing threats that act at machine speed.

“Security teams can see that an account did something dangerous,” Kozliner said. “What they cannot see is whether a person did it or an agent did, and they cannot stop the agent without blocking the person.”

Identity Correlation and Enforcement

To bridge this gap, the Rig platform employs two primary components: the Rig identity correlation engine (RICE) and the Bifrost endpoint sensor. RICE utilises machine learning and mathematical modelling to resolve identities across identity providers, cloud infrastructure, on-premises systems, and network edges with a reported accuracy of over 96%.

By creating an identity dependencies graph, the engine maps how identities are linked through accounts, permissions, and trust relationships. This allows the system to identify how these connections might be abused. Meanwhile, the Bifrost sensor monitors identity behaviour at its source, allowing the platform to distinguish an AI agent’s session from a human user’s session.

This distinction enables the platform to enforce policies that block risky actions taken by a rogue agent without disrupting the human user. The platform provides identity security posture management (ISPM) and identity threat detection and response (ITDR) for both human and non-human identities.

Rig Security is currently in production with Fortune 200 organisations across the healthcare, financial services, insurance, and technology sectors. The new capital will be used to advance research into detection and enforcement, expand the company’s presence in the United States, and grow its partner and channel programmes.