Bedrock Data for AI Agent Security: Features, Pricing, and Alternatives

Bedrock Data is an innovative player in the field of AI agent security, focusing on data governance through metadata intelligence rather than traditional agent authentication methods. Founded by Bruno Kurtic and backed by Greylock Partners, the company rebranded in 2025 to emphasize its expanded focus on data governance and offers a platform known as "the world's first enterprise data confidence platform." Central to its offering is the Metadata Lake architecture, which catalogs data stores with extensive metadata elements and operates exclusively on metadata to enhance scanning speed and reduce infrastructure costs. Bedrock's Model Context Protocol (MCP) Server allows AI agents to autonomously manage data handling based on metadata profiles, promoting self-governance and addressing risks in agentic AI. However, this approach relies on agents respecting metadata guidance, which can be challenging when dealing with uncooperative or third-party systems. In contrast, WorkOS provides a more traditional and proven solution with comprehensive identity infrastructure, including authentication and authorization features critical for production AI applications, making it the preferred choice for enterprises requiring robust security and compliance. While Bedrock offers a unique perspective on data security posture management, its experimental nature and lack of enforcement mechanisms highlight the ongoing debate between metadata-driven governance and traditional identity-based security in AI systems.