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.
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.
Protects AI agents from threats like prompt injection, jailbreaks, and SQL injection through a multi-layer scanning pipeline. It also enables PII redaction and rehydration to ensure data privacy during LLM interactions.
MCP server that provides runtime defense for AI agents, protecting against prompt injection, data exfiltration, and other adversarial attacks through a ranked pipeline of up to 36 inline defenses and 3 output scanners.
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.
