Rig Security has exited stealth with $12 million in funding to address a growing security problem: AI agents that operate inside enterprise systems under identities that were originally issued to humans. The company's core offering is an identity dependencies graph, which maps the relationships between users, applications, and AI agents.
According to SecurityWeek, the graph is designed to help security teams distinguish between legitimate human users and rogue AI agents. Instead of treating every identity as a person, Rig's model tracks how non-human actors relate to the rest of the environment, making it possible to spot agents that are abusing access.
The funding will go toward tackling agentic AI identity risks, a category that has become more pressing as enterprises deploy autonomous agents that can take actions on their own. The SecurityWeek report is the only source for this announcement, so details such as the investors involved are not disclosed in the available material.