{"id":"agentic-radar","name":"Agentic Radar","af_score":61.2,"security_score":75.0,"reliability_score":null,"what_it_does":"Agentic Radar is a security scanner by SPLX.ai that performs static analysis on agentic AI system codebases to identify vulnerabilities specific to AI workflows — prompt injection risks, PII leakage through tool outputs, insecure tool integrations, and over-privileged agent permissions. It supports multiple agent frameworks (OpenAI Agents SDK, CrewAI, LangGraph, n8n, AutoGen) and generates visual dependency graphs mapping the agent's tool and service exposure. The tool maps findings to OWASP LLM Top 10 categories and can run runtime adversarial prompt injection tests against live OpenAI Agents-based systems. It is designed to be run in CI/CD pipelines as a gate before deploying agentic systems to production.","best_when":"You need to audit the security posture of an agentic AI system before production deployment, especially when using popular frameworks like CrewAI, LangGraph, or OpenAI Agents.","avoid_when":"You need an MCP server that provides tools to agents rather than scanning them, or you're using unsupported frameworks like custom LangChain or AWS Bedrock agents.","last_evaluated":"2026-03-01T09:50:05.194156+00:00"}