Overview
Secure your enterprise AI agents with ADR (Agentic AI Detection and Response), a robust security system designed for both employee-facing tools like Cursor and Claude Code, and customer-facing AI support agents. Proven in production at Uber, ADR provides critical observability, security benchmarking, and threat detection to safeguard your AI deployments.
Key Features
- ADR Observability: Gain deep insights into agent activity by capturing intent, tool usage, and execution traces across a wide range of AI coding and support tools on macOS, Linux, and Windows.
- ADR Benchmark: Rigorously test your AI agent defenses against realistic enterprise conditions. ADR-Bench offers over 300 tasks, 133 emulated servers, and comprehensive coverage of 17 agent attack techniques.
- ADR Detection: Efficiently identify risky agent behavior with a sophisticated two-tier architecture that combines high-recall initial triage with in-depth agentic reasoning for suspicious sessions.
- Production-Proven: Deployed and validated in production at Uber, demonstrating real-world effectiveness in securing AI agents.
- Academic Recognition: Featured in a paper accepted to MLSys 2026, highlighting its cutting-edge research and development.
Typical Use Cases
- Securing Employee Productivity Tools: Protect internal teams using AI assistants for coding, content generation, or internal automation against data leakage and misuse.
- Enhancing Customer Support AI: Ensure the safety and reliability of AI-powered chatbots and support agents interacting with your customers.
- AI Security Research & Development: Evaluate and strengthen the security posture of new AI agent deployments through comprehensive benchmarking and threat detection.
- Compliance and Risk Management: Meet enterprise security requirements by understanding and mitigating the risks associated with AI agent integration.
