Data security startup Cyera raised $400M from Goldman Sachs in a Series G extension, bringing its total funding since June 2025 to $1.94B

Autonomous AI agents in enterprises now have a dedicated security solution that bridges data location and access controls.

Data security startup Cyera has secured an additional $400 million in a Series G extension, with Goldman Sachs Alternatives leading the investment. This funding brings Cyera's total capital raised to over $2 billion since June 2025. The company aims to develop a security layer for the increasing use of autonomous AI agents within large enterprises. These agents can perform actions like querying databases and accessing sensitive information without direct human approval, posing a challenge for traditional security systems. Cyera's approach integrates data discovery with access control for both human and non-human identities. The new capital will support product development, particularly for AI security, and fuel expansion into U.S. federal markets and international regions including Europe, the Middle East, Africa, and Asia-Pacific. The company was founded in 2021 and has experienced rapid valuation growth, reaching over $12 billion.

The substantial funding rounds for Cyera signal a rapidly emerging and critical market need for securing autonomous AI agents, a category Goldman Sachs views as a defining enterprise technology trend of the next decade. As AI agents gain the ability to act independently, the existing security frameworks, built around human users and conventional applications, are proving inadequate. Cyera's strategy of unifying data visibility with identity and access management directly addresses this gap, offering enterprises the confidence needed to scale AI deployments.

This trend indicates a significant shift in enterprise security priorities, moving beyond perimeter defense to a more granular, identity-centric approach for machine-to-machine interactions. Companies like Cyera are positioned to benefit as organizations grapple with the inherent risks of AI agents accessing sensitive data. The market will likely see further innovation and investment in solutions that can dynamically manage and secure these powerful, autonomous systems.