Invariant Labs is a cybersecurity company focused on making AI systems robust, reliable, and secure. The company was acquired by Snyk to accelerate agentic AI security innovation. The team consists of technical experts with backgrounds spanning academia and technology companies, bringing research experience from institutions including ETH Zurich, University of Cambridge, and Stanford University, as well as industry experience from organizations like Google Brain. The company has developed technologies including LMQL (a query language for language models) and LVE (LLM Vulnerability and Exploits project). Invariant Labs addresses security challenges specific to AI systems and large language models. Their work is grounded in research on robust, secure, and private AI, with team members having published papers at international academic venues and received recognition from the research community. The company's advisors include professors from ETH Zurich specializing in computer science and AI security. The founding team includes a CEO, CTO, and engineers with expertise in AI security research and software development. Their approach combines academic research foundations with practical implementation to address emerging security risks in AI deployments and agentic AI systems.