A zero-trust security gateway for AI-agent tool execution, enforcing authentication, authorization, risk classification, and human confirmation before MCP tools run.
Enables deterministic zero-trust security for AI agents, providing prompt injection protection, PII scrubbing, and policy enforcement before agentic actions reach production systems.
Local zero-trust permission gateway for AI agents. Enforces policy-based tool authorization, human approvals, scoped permissions, and cryptographically verifiable audit logs.
Provides a privacy-preserving security framework for AI agents using the Model Context Protocol, enabling transparent anonymization of sensitive data and blockchain-like audit trails for regulated domains.
A 7-layer security system for AI agents that detects and blocks prompt injection, data exfiltration, and malicious tool calls. It enables real-time scanning of inputs, outputs, and tool definitions to protect agentic workflows from emerging AI-specific threats.