Invariant Labs

Founded by Marc Fischer & Luca Beurer-Kellner & Martin Vechev in 2024

Security and observability tools for AI agents and LLM applications.

Pricing model

Demo, Paid

Rating

★ People love it

Time to value

Quick Setup (< 1 hour)

Invariant Labs provides a suite of open-source tools designed to enhance the security, reliability, and observability of AI agents and applications powered by large language models (LLMs). Their offerings include Guardrails for enforcing security policies, Explorer for visualizing agent traces, and MCP-Scan for detecting vulnerabilities in Model Context Protocol (MCP) servers. Founded by experts from ETH Zurich, Invariant Labs aims to make AI systems robust and secure.

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What Invariant Labs does

Enforcing security policies for AI agentsVisualizing and analyzing agent execution tracesScanning MCP servers for vulnerabilitiesMonitoring LLM application behaviorDetecting prompt injection attacksGuardrails for contextual security enforcementExplorer for interactive trace visualizationMCP-Scan for detecting MCP-specific vulnerabilitiesGateway for seamless integration with LLM providersOpen-source and extensible architecture

Pricing breakdown

Pricing model: Book a demo

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AI Research Scientist @ CVVS

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AI security, LLM observability, agent trace analysis, MCP vulnerabilities, Invariant Labs