Provides a governance proxy layer for MCP servers, enforcing per-tool allowlists, human approval for write operations, quotas, secret redaction, and a hash-chained audit log of all calls.
Provides a governance layer for MCP servers, enforcing policy-based allow/deny/approval rules, requiring human approval for risky calls, and recording an auditable trail of every AI agent tool call.
Provides a security governance layer for AI agents to safely access upstream MCP servers, enforcing tool-level RBAC, parameter constraints, authentication via static tokens or OIDC, and tamper-evident audit logging.
Sits between an agent and an upstream MCP server to enforce per-profile tool grants, deterministic allow/deny/handoff rules, field and PII masking, idempotent writes, and one-line audit logging from a single YAML config. Enables regulated deployments to add guardrails that fail closed without changing the customer's tools or the agent's prompt.
Acts as an MCP gateway between AI agents and upstream tool servers, evaluating YAML policies on every tool call, injecting real credentials at the last mile, scanning requests and responses for secrets, PII, and prompt injection, and recording each action in a tamper-evident audit log. Also supports HTTP forward-proxy governance with rate limiting, cost tracking, and policy replay against historical audit data.