Enables AI agents to safely read and write files in a sandboxed workspace via natural language, with on-demand connection, CVE-hardened path confinement, injection resistance, and full audit logging.
Provides a human-in-the-loop security layer for AI agents by intercepting file operations, explaining them with a local LLM, and enforcing a deterministic policy that requires user approval for risky actions.
Enables AI agents to access registered resources based on a fixed subject identity, enforcing default-deny policies and auditing for controlled context sharing.