AgentFirewall

AgentFirewall acts as a critical security layer for autonomous digital agents, intercepting and evaluating proposed actions before they execute. Key capabilities include: * Pre-execution evaluation of tool calls, MCP, and API actions * Real-time decision making: allow, block, or require human approval * Defense against common agent-specific vulnerabilities * Comprehensive audit logging for security compliance * Model-agnostic integration with various agent systems This platform is engineered to prevent the unique failures autonomous agents can cause in production environments. It provides robust protection against secret leakage, preventing sensitive API keys and credentials from being exposed in tool payloads. AgentFirewall also mitigates prompt injection attacks, safeguarding high-impact tools from untrusted content steering, and stops egress abuse by enforcing allowlists for external destinations. It addresses complex threats like trajectory attacks, where recon and exfiltration chains unfold across sessions, and detects MCP (multi-chain protocol) drift when pinned tool descriptors unexpectedly change. AgentFirewall is built for engineering and security teams deploying autonomous agents who need to ensure operational integrity and compliance. It offers enforcement at the moment of action, providing a clear audit trail. The platform measures its effectiveness on production APIs through controlled adversarial suites, publishing quantifiable rates for attack hold, false positives, and bypass variant resilience. It offers low-latency performance, ensuring security doesn't come at the cost of agent responsiveness.