# TraceCtrl > Security Observability & Control for Agentic AI TraceCtrl is the security observability and control platform for agentic AI systems. It provides complete visibility into every agent action, every tool call, and every data access — with runtime protection, attack graph risk scoring, and automated red team testing. ## What TraceCtrl Does TraceCtrl monitors, secures, and governs AI agents in production. It is built around two pillars: 1. **Trace** (Observability): Real-time agent behavior monitoring, OTEL-native telemetry extraction, cross-cloud agent inventory, and immutable audit logs. 2. **Control** (Security Enforcement): Runtime guardrails, attack graph risk scoring via TAGAAI, automated penetration testing, and compliance attestation. ## Products - **TraceCtrl Core**: Complete observability — every agent action, tool call, and data access in real time. OpenTelemetry-native telemetry extraction across any platform and framework. - **TraceCtrl Guard**: Runtime protection — ShieldPrompt prompt injection defense, 4-point guardrails, data leakage prevention. Enforces security policies without slowing AI development. - **TraceCtrl Risk**: Attack surface mapping — TAGAAI-powered attack graph analysis, LVD integration, risk scoring, and compliance attestation. - **TraceCtrl Strike**: Offensive security — Automated red team testing via TAGAAI attack paths. Tests agents the way adversaries would. ## Key Technology - **TAGAAI** (Threat-informed Attack Graphs for Agentic AI): A proprietary threat modeling framework that maps agent topologies into attack graphs, scores risk, and generates attack paths for automated testing. - **ShieldPrompt**: Runtime prompt injection defense with multi-layer guardrails. ## Supported Platforms - **Frameworks**: LangChain, CrewAI, Agno, Strands, ADK - **Cloud Platforms**: AWS, GCP, Azure - **LLMs**: OpenAI, Anthropic, Google, Meta, Mistral, Cohere ## Contact - Website: https://tracectrl.ai - Email: info@tracectrl.ai ## Further Reading - [Full details](/llms-full.txt)