A governed MCP server for integrating AI agents with customer data, featuring role-based access control, field redaction, and human-in-the-loop approval for secure support operations.
An identity-aware authorization layer for AI agents that enforces OAuth scopes, contextual policies, and human approval workflows before executing sensitive actions. It provides controlled execution and audit trails for MCP tools.
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 AI agents to safely call enterprise tools through a governed MCP gateway with permission enforcement, blast-radius controls, input validation, and a full audit trail for every invocation.
A policy enforcement, audit, and evaluation control plane for LLM agents on payment infrastructure, intercepting tool calls at the MCP boundary to classify, redact, and allow/deny/escalate actions before execution.