A security MCP proxy that monitors and blocks data exfiltration between AI agents and their tools by detecting toxic flows (untrusted → sensitive → egress) deterministically with zero LLM calls in the decision path.
A transparent proxy and execution firewall that intercepts and audits AI agent tool calls against configurable security policies before forwarding them to downstream MCP servers. It provides safe execution environments with features like data redaction, anti-loop protection, and unified alert dispatching.
A security proxy and active firewall for the Model Context Protocol that protects host systems from malicious intent, prompt injection, and data exfiltration. It acts as an interception layer between AI agents and tools, providing real-time verification and multi-layered defense mechanisms.
A security gateway that enforces policies, tracks data taints, and sandboxes tool calls between AI agents and MCP servers. It provides a secure chokepoint to prevent prompt injection and ensure OWASP ASI compliance through audit logging and deterministic execution.
A defensive gateway and firewall for AI agents using MCP servers, scanning tool calls, responses, and manifests for prompt injection, secrets, dangerous commands, and drift before allowing execution.
