ThirdLaw offers an inline control layer that evaluates every AI prompt, response, tool call, and agent action against enterprise‑defined policies in real time, allowing security and IT teams to block, redact, reroute, or require human approval for risky behavior. Policies are authored in plain language, scoped by role, application, model, and environment, and the platform provides audit‑ready decision trails and integration with existing SIEM, SOAR, or ITSM workflows.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises lack a centralized, real‑time enforcement point for AI behavior, causing policy violations to surface only after a decision is made. Guardrails are scattered across prompts, application code, and model settings, making it difficult to manage risk that varies by context, role, or tool usage. When AI agents invoke tools, unsafe actions can cascade across systems before any human can intervene.
Solution
ThirdLaw provides an inline control layer that evaluates every AI prompt, response, tool call, and agent action against enterprise‑defined “Laws” at runtime. Policies are authored in plain language, versioned, and scoped by application, route, role, environment, model, and tool, allowing security and IT teams to update enforcement without code changes. The platform can block, redact, reroute, or require human approval for high‑risk decisions, and it records a complete decision trail for audit‑ready evidence. Deployments can run in a private VPC or on‑premises to meet data residency requirements, and violation events can be routed to existing SIEM, SOAR, or ITSM workflows for automated response.
Target Audience
Primary customers are security and IT teams in mid‑size to large enterprises that deploy generative AI applications, autonomous agents, and tool‑integrated workflows across multiple business units.
Features
- Inline evaluation of prompts, outputs, and tool calls using pattern, similarity, classifier, or model‑based checks
- Context‑aware policy enforcement that adapts to role, app, model, and environment to reduce false positives
- Scoped tool permissions and parameter constraints with optional human approval checkpoints for irreversible actions
- Real‑time detection of prompt injection, jailbreaks, and runaway agent loops with throttling or escalation
- Private deployment options (VPC, on‑premises) for compliance with data residency and security mandates
- Integrated decision trail that captures evaluated content, matching rules, and enforcement actions for audit and forensics
- Seamless routing of violation records to SIEM, SOAR, or ITSM systems for automated incident response