Snyk, a leader in secure AI software development, has acquired Invariant Labs, a pioneering AI security research firm, to strengthen its AI Trust Platform. This strategic move enhances Snyk’s ability to protect AI-native applications against emerging threats, integrating advanced research and tools to secure agentic AI systems.
Snyk acquires Invariant Labs to advance AI security research.
Enhances AI Trust Platform with agentic AI threat protection.
Integrates Guardrails for transparent LLM and agent safeguards.
Addresses MCP vulnerabilities, tool poisoning, and data exfiltration.
Bolsters Snyk Labs with expert AI security researchers.
Enables unified security for AI-native and traditional applications.
Snyk’s acquisition of Invariant Labs integrates cutting-edge AI security capabilities into its recently launched AI Trust Platform. “This acquisition is an important integration into Snyk’s recently launched AI Trust Platform that adds the ability to secure applications from emergent threats,” said Peter McKay, CEO of Snyk. “Snyk can now offer customers a single platform to address both current application and agentic AI vulnerabilities.” The deal enhances Snyk’s ability to provide a unified security solution for AI-native applications, including large language models (LLMs) and autonomous agents, addressing vulnerabilities like MCP and tool poisoning.
Invariant Labs brings a team of renowned researchers to Snyk Labs, Snyk’s research arm focused on AI security. Their expertise in agentic attack vectors, MCP vulnerabilities, and runtime detection techniques strengthens Snyk’s leadership in defining industry standards. “With Invariant Labs, we’re accelerating our ability to identify, prioritize, and neutralize the next generation of Agentic AI threats before they reach production,” said Manoj Nair, Chief Innovation Officer at Snyk. The acquisition enhances Snyk’s proactive approach to tackle risks like unauthorized data exfiltration and MCP rug pulls, which are already impacting production environments.
Invariant Labs’ Guardrails technology provides a transparent security layer for LLMs and AI agents, enabling developers to enforce contextual security rules and scan for vulnerabilities. “We’ve spent years researching and building the frameworks necessary to secure the AI-native future,” said Marc Fischer, PhD, CEO & co-founder of Invariant Labs. “We must understand that agent-based AI systems are a powerful new class of software, especially autonomous ones, and demand greater oversight and stronger security guarantees than traditional approaches.” Guardrails leverages static scans, runtime monitoring, and incident databases to safeguard AI systems, ensuring robust protection against emerging threats.
Snyk’s acquisition of Invariant Labs reinforces its commitment to securing AI-driven software development. By integrating Invariant’s research and Guardrails technology, Snyk empowers organizations to build secure AI-native applications, staying ahead of evolving threats in a rapidly advancing technological landscape.
Snyk, the leader in secure AI software development, empowers organizations to build fast and stay secure by unleashing developer productivity and reducing business risk. The company’s AI Trust Platform seamlessly integrates into developer and security workflows to accelerate secure software delivery in the AI Era. Snyk delivers trusted, actionable insights and automated remediation, enabling modern organizations to innovate without limits. Snyk is redefining secure AI-driven software delivery for over 4,500 customers worldwide today.
Invariant Labs is a security research lab dedicated to building robust, reliable, and secure AI agents. As an ETH Zurich Spin-off and ETH AI Center Affiliated Startup, which focuses on securing and safeguarding AI Applications. It is led by Marc Fischer, Luca Beurer-Kellner, Prof. Martin Vechev, and Prof. Florian Tramèr.
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