Intercepts, evaluates, and logs AI agent tool calls to enforce security policies and provide an audit trail.
Sponsored
AI agents often operate with unrestricted access to system resources, posing significant security risks through prompt injection or hallucinations. SentinelGate addresses this critical vulnerability by acting as a transparent proxy between AI agents and your underlying system. It intercepts every Model Context Protocol (MCP) tool call, rigorously evaluates it against defined Role-Based Access Control (RBAC) and Common Expression Language (CEL) policies, and maintains a comprehensive, tamper-proof audit log. This ensures that unauthorized or risky actions are blocked at the proxy, providing a robust security layer without requiring any modifications to the AI agent itself.
Key Features
01Deterministic policy enforcement using CEL (Common Expression Language) rules.
02Full audit trail of every AI agent action with identity, decision, and arguments.
03Browser-based Admin UI for policy management, testing, and audit viewing.
04Built-in content scanning for PII, secrets, and prompt injection detection.
05Identity and access control with API keys, roles, and per-identity policies.
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Use Cases
01Securing AI agent interactions with external tools, APIs, and systems.
02Implementing granular access policies and usage quotas for AI agents.
03Providing a comprehensive audit trail for AI agent activities for compliance and security forensics.
