This data sheet introduces Menlo AI Agent Security, designed to secure autonomous AI agents and browser-based agents in enterprise environments. It addresses key risks such as prompt injection attacks, data exfiltration, and lack of access to legacy data trapped in non-API systems. The solution uses a cloud runtime (MARS) to execute agent sessions in isolated containers, stripping malicious content and enforcing data access controls. It enables secure data retrieval from legacy applications while masking sensitive information. Key benefits include preventing agent-driven data loss, accelerating AI adoption, and scaling to millions of sessions globally, ensuring organizations can safely deploy agentic AI workflows without compromising security or performance.

Join for free to read