Snowflake has launched its Data-Model-Agent framework, a security architecture designed to support the deployment of AI agents within enterprise environments. The framework addresses critical security concerns by integrating specific defenses against adversarial threats and ensuring data governance. This initiative aims to provide a robust foundation for organizations looking to scale agentic AI while maintaining strict security and compliance standards.
Snowflake introduced the Data-Model-Agent framework to secure enterprise AI agents via prompt injection defense, zero-copy governance, and auditable identity.
As enterprises deploy autonomous agents, security risks like prompt injection and data leakage become critical. This framework provides a standardized approach to mitigate these risks.
Snowflake's Data-Model-Agent framework secures the agentic enterprise with prompt injection defense, zero-copy governance and auditable agent identity.
— Mayank Upadhyay