The Enterprise AI Safety Layer
Integrate with AI agents and LLM-connected apps to monitor, evaluate, and control their behavior in real-time.
End-to-End Operational Oversight for AI
Monitor, evaluate, and secure LLMs in real time to detect risks, enforce policies, and maintain AI compliance.
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Collect
Gain a Unified View of AI Activity
- Monitor LLM and AI agent behavior across applications and models.
- Collect data from existing gateways, including Envoy, Kong, and NGINX.
- Leverage SDKs for Python and TypeScript to aggregate AI data into your security workflows.
- Collect via OpenTelemetry (OTEL) using automated or manual instrumentation
- Integrate via APIs from your real-time event pipelines.
Evaluate
Identify AI Risks Before They Become Incidents
- Assess AI performance and compliance with enterprise-specific criteria.
- Continuously analyze LLM behavior for policy violations or anomalies.
- Leverage AI-driven evaluations such as semantic similarity, heuristics, and validation models.
Intervene
Enforce AI Safety in Real-Time
- Automatically or manually mitigate risks before they escalate.
- Set fine-grained policies and guardrails to align AI behavior with security standards.
- Ensure enterprise-wide enforcement without disrupting workflows.
Investigate
AI Oversight & Auditability
- Maintain a full audit trail of LLM and AI agent interactions.
- Run deep investigations with advanced search and query tools.
- Tight integration to existing SIEM and SOAR workflows.
- Ensure compliance with enterprise and regulatory standards.
Where ThirdLaw Fits
Integrates Into Your Existing IT & Security Workflows
As an Agent
Available within LangChain, Microsoft Autogen, LlamaIndex, Vertex AI, and CrewAI.
Via API Gateways
Compatible with Kong, NGINX, and Envoy, LiteLLM, and Portkey with roadmap support for more options.
Through SDKs
Supports Python, Node.js, Next.js, and Go for direct integration into your applications.
From OpenTelemetry
Automated and manual instrumentation to collect LLM and AI agent data exchanges via OTEL.