ThirdLaw AI Control Layer
Runtime AI policy enforcement: capture, evaluate, intervene, and investigate AI sessions.
ThirdLaw AI Control Layer
Runtime AI policy enforcement: capture, evaluate, intervene, and investigate AI sessions.
Data verified Jun 2026
ADYour product here. Reach security decision-makers.Launch a campaignThirdLaw AI Control Layer Description
LLM Guardrails
LLM Security
Agentic AI Security
AI Governance
AI Observability
Prompt Injection
Runtime Security
Policy
GenAI Security
Shadow AI
ThirdLaw AI Control Layer is a runtime enforcement platform for AI applications and agents. It captures AI interactions, evaluates them against enterprise-defined policies, intervenes in real time, and supports post-incident investigation. Core Workflow: - Collect: Captures prompts, outputs, tool calls, and agent actions from AI sessions. Ingests data via API gateways (Envoy, Kong, NGINX), SDKs (Python, TypeScript, Go), OpenTelemetry instrumentation, or direct API pipelines. - Evaluate: Assesses AI behavior against enterprise policies using semantic checks, classifiers, LLM-based reasoning, and rules-based logic. Detects policy violations and anomalous patterns across sessions and agent chains. - Intervene: Applies runtime enforcement actions including blocking, redacting, rerouting, or escalating interactions that violate policy. Policies can be scoped by app, route, role, user group, model, or tool. - Investigate: Provides session replay, event search, and tool-call forensics for incident review. Routes findings and context to SIEM, SOAR, and ITSM systems to support compliance and response workflows. Policy Management (called "Laws"): Policies are authored in plain language, translated into runtime logic, validated on example traffic, versioned, and published with scoped rollout controls. Deployment Options: - Managed single-tenant SaaS (isolated AWS account and VPC) - Customer-hosted AWS VPC - Self-managed Kubernetes via Helm (on-prem or private cloud) The platform targets security and IT teams managing AI application risk and is aligned with the Gartner AI TRiSM category.
ThirdLaw AI Control Layer FAQ
Common questions about ThirdLaw AI Control Layer including features, pricing, alternatives, and user reviews.
ThirdLaw AI Control Layer is Runtime AI policy enforcement: capture, evaluate, intervene, and investigate AI sessions, developed by ThirdLaw. It is a Security for AI solution designed to help security teams with LLM Guardrails, LLM Security, Agentic AI Security.
ThirdLaw AI Control Layer offers the following core capabilities:
1.AI session capture including prompts, outputs, tool calls, and agent actions
2.Policy enforcement via plain-language authored rules ('Laws') with scoped rollout and versioning
3.Runtime intervention: block, redact, reroute, or escalate on policy violation
4.Multi-engine evaluation: semantic, classifier, LLM-based, and rules-based checks
5.Session replay and tool-call forensics for incident investigation
6.Policy scoping by app, route, role, user group, model, or tool
7.Violation routing to SIEM, SOAR, and ITSM systems
8.OpenTelemetry (OTEL) ingestion with auto and manual instrumentation
9.Anomaly detection across sessions and agent chains
10.Flexible deployment: managed SaaS, customer AWS VPC, or self-managed Kubernetes
ThirdLaw AI Control Layer integrates natively with Envoy, Kong, NGINX, LiteLLM, LangChain, LlamaIndex, CrewAI, OpenAI Agents SDK, Google ADK, OpenTelemetry, Python SDK, TypeScript SDK, Go SDK. Integration support lets security teams connect ThirdLaw AI Control Layer to existing SIEM, ticketing, identity, and notification systems without custom development.
ThirdLaw AI Control Layer is built for security teams handling LLM Guardrails, LLM Security, Agentic AI Security, AI Governance. It supports workflows including ai session capture including prompts, outputs, tool calls, and agent actions, policy enforcement via plain-language authored rules ('laws') with scoped rollout and versioning, runtime intervention: block, redact, reroute, or escalate on policy violation. Teams typically adopt ThirdLaw AI Control Layer when they need to security for ai capabilities integrated into their existing stack. Explore similar tools at https://cybersectools.com/alternatives/thirdlaw-ai-control-layer
ThirdLaw AI Control Layer is a commercial Security for AI solution. For detailed pricing information, visit https://www.thirdlaw.io/product or contact ThirdLaw directly.
Popular alternatives to ThirdLaw AI Control Layer include:
1.Confident Security - Platform for securing, governing, and monitoring AI/LLM deployments. (Commercial)
2.First Recon AI Firewall - Inline firewall inspecting AI prompts/responses for injections & policy violations. (Commercial)
3.PointGuard AI Intelligent Guardrails - Runtime guardrails for LLM prompts/responses: detects data leaks & prompt injection. (Commercial)
4.Portkey Guardrails for Bedrock - Configurable guardrails for Amazon Bedrock AI requests via an API gateway. (Commercial)
5.SlashLLM - AI security platform proxying LLM traffic with guardrails, SOC, and governance. (Commercial)
Compare all ThirdLaw AI Control Layer alternatives at https://cybersectools.com/alternatives/thirdlaw-ai-control-layer
ThirdLaw AI Control Layer is for security teams and organizations that need LLM Guardrails, LLM Security, Agentic AI Security, AI Governance, AI Observability. It's particularly suitable for enterprises requiring robust, commercial-grade security capabilities. Other Security for AI tools can be found at https://cybersectools.com/categories/ai-security
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