Enables controlled AI-agent access to enterprise-shaped tools with a deny-by-default gated write path, human approval, dry-run execution, and append-only audit logging.
Enables MCP-compatible AI agents to safely act on business backends by enforcing per-agent permissions, autonomy thresholds, human approval with review-and-edit, and full audit trails.
Enables AI agents to securely call enterprise MCP tools with tenant-scoped RBAC, human approvals, audit logging, and multi-tool workflows across customer, order, document, and ticket data.
Enables AI agents to interact with application data as a specific user or agent while enforcing PostgreSQL Row Level Security, providing bounded tools for memory search, retrieval, and canonical mutation with an approval workflow.
Enables AI agents to securely invoke tools by enforcing identity proof, capability verification, and risk scoring on every request, blocking unsafe calls before they execute.