ModelCop Launches AI Agent Security Platform for Enterprise Machine Identities

ModelCop has launched its identity focused security platform for AI agents and non-human identities, announced in a press release. The service became commercially available on July 4 and is designed to help enterprises discover, govern, and monitor AI agent credentials, API keys, and machine identities while quantifying risk exposure in financial terms.

The platform provides attack path analysis that maps how compromised identities can move laterally through infrastructure. It includes a Just In Time access model with governed approval chains designed to remove standing privileges for AI agents. ModelCop also calculates Annualized Loss Expectancy for each identity to produce measurable financial risk data.

Compliance checks against NIST AI RMF, SOC 2, and HITRUST frameworks are automatically updated within the system. Administrators can identify which AI agents are active, track unrotated credentials, and view financial exposure metrics. ModelCop also offers a free AI Exposure Index quiz for organizations to estimate their current risk level.

ModelCop positions itself in a growing market segment centered on the management of machine identities, which now significantly outnumber human users in many enterprises.