NewsPublished 29 Sep 2026

Rig Security Emerges From Stealth With $12M to Tackle Agentic AI Identity Risks

Source SecurityWeek

Description

Rig Security has launched an identity protection platform designed to address risks posed by autonomous AI agents that act under human identities with legitimate permissions. These AI agents can perform actions indistinguishable from their human counterparts, creating a security gap where traditional tools cannot differentiate between legitimate user activity and rogue agent behavior. Rig's platform uses a combination of an identity correlation engine and an endpoint sensor to map identity dependencies and enforce policies that block malicious AI agent actions without disrupting the legitimate user. The solution aims to enable enterprises to adopt AI technologies securely by managing AI and non-human identity risks.

Impact

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.

Defensive guidance

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.

Summary

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.

References

securityweek.com/rig-security-emerges-from-stealth-with-12m-to-tackle-agentic-ai-identity-risks/ (opens in a new tab)

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AI analysisMachine-generated, updated 29 Sep 2026, 12:02 UTC

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