Invariant Labs
Security platform for observing, guarding, and scanning AI agents and MCP servers.
About Invariant Labs
Invariant Labs builds security tooling for teams developing AI agents. The company, a spin-off from ETH Zurich founded in 2024 by professors Martin Vechev and Florian Tramer along with several of their graduates, focuses on making agentic AI systems safer to deploy in production. The product suite has three parts. Explorer lets developers inspect and observe agent behavior to understand what an agent actually did during a run. Guardrails is a contextual security layer that developers place around AI agents to enforce rules and catch unsafe actions before they cause harm. MCP Scan audits Model Context Protocol servers for vulnerabilities, an area Invariant Labs has also researched publicly, including coining the term "tool poisoning" for a class of MCP attack. The company was acquired by the cybersecurity firm Snyk, which now positions Invariant Labs' research and tooling as part of its broader push into agentic AI security, continuing the work under the Invariant Labs name and site. Invariant Labs is aimed at developers and organizations building AI agents who need visibility into agent behavior and protection against prompt injection or tool-based attacks. The site does not disclose pricing or a public API for these tools.
At a glance
- Company
- Invariant Labs AG (est. 2024)
- Last verified
- August 2026
Who It's For
- •Manufacturing companies.
- •Industrial automation integrators.
- •Businesses investing in robotics and smart factories.
- •Operations managers and engineers in industrial sectors.
How It Works
- 1Invariant Labs integrates AI and machine learning models directly into robotic and automation setups.
- 2Their systems analyze real-time data from industrial processes.
- 3The AI models learn from this data to predict outcomes, suggest optimizations, and autonomously control machinery.
How to Use Invariant Labs
- 1Businesses can implement Invariant Labs' AI solutions by integrating their software with existing industrial hardware.
- 2The tools are customized to specific operational needs, requiring initial setup and calibration by experts.
- 3Users interact with the system through specialized interfaces designed for industrial control.
Key Features
- •Explorer for inspecting agent behavior
- •Guardrails contextual security layer for AI agents
- •MCP Scan vulnerability scanning for MCP servers
- •Static and run-time agent security analysis
Use Cases
- •Audit MCP servers for security vulnerabilities
- •Observe and debug AI agent behavior
- •Enforce security rules on production AI agents
- •Detect prompt injection and tool poisoning attacks
Pros & Cons
Advantages
- •Enhances operational efficiency and reduces costs in industrial settings.
- •Enables more sophisticated and autonomous control of machinery.
- •Reduces human error and improves safety in hazardous environments.
- •Provides predictive insights to minimize downtime and optimize maintenance.
Disadvantages
- •Requires significant initial investment in integration and customization.
- •Complexity of implementation may necessitate specialized technical expertise.
- •Potential for issues if data quality or sensor input is poor.
Alternatives
- Lakera
- Robust Intelligence
- Prompt Security
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Frequently Asked Questions
What is Invariant Labs?
Invariant Labs builds security tooling for teams developing AI agents. The company, a spin-off from ETH Zurich founded in 2024 by professors Martin Vechev and Florian Tramer along with several of their graduates, focuses on making agentic AI systems safer to deploy in production.
How much does Invariant Labs cost?
Invariant Labs is free to use.
Is Invariant Labs free?
Yes, Invariant Labs offers a free plan you can start with.
What are the best Invariant Labs alternatives?
Popular Invariant Labs alternatives include Lakera, Robust Intelligence, Prompt Security.
What is Invariant Labs used for?
Invariant Labs is commonly used for Audit MCP servers for security vulnerabilities, Observe and debug AI agent behavior, Enforce security rules on production AI agents.
Information Accuracy
Please note: While we regularly update all tool information including descriptions, features, pricing, and other details, this information may change over time as tools evolve and update their offerings. For the most current and accurate information, we recommend visiting the official website directly. Our goal is to provide you with comprehensive and up-to-date information to help you make informed decisions.