Rig Security emerged from stealth with $12 million in seed funding to tackle identity risks introduced by autonomous AI agents that assume human user identities and permissions. Traditional security tools cannot distinguish between legitimate user actions and those performed by rogue AI agents, leading to a dangerous security gap. Rig's platform consists of RICE, an identity correlation engine that maps identity dependencies across systems with over 96% accuracy, and Bifrost, an endpoint sensor that detects AI agent sessions and enforces policies to block risky actions without affecting the human user. This approach provides identity security posture management and threat detection for AI and non-human identities. The platform is already deployed in Fortune 200 companies across multiple sectors.

The emergence of autonomous AI agents acting with legitimate user permissions creates a new attack vector where rogue agents can perform unauthorized or risky actions at machine speed, bypassing traditional security controls. This gap undermines identity-based security measures and complicates incident response, as disabling user accounts to block rogue agents also disrupts legitimate user activity. Rig Security's platform addresses this by distinguishing between human and AI agent actions, reducing the risk of unauthorized access and misuse of permissions tied to human identities.

No official patch or vendor advisory applies as this is a newly introduced security platform rather than a vulnerability. Organizations concerned about AI agent identity risks should consider evaluating solutions like Rig Security's platform that provide identity correlation and AI agent detection capabilities. The platform's approach allows blocking rogue AI agent actions without impacting legitimate users, addressing a novel security gap in identity management.