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Snyk Acquires Invariant Labs for Agentic AI Security Work

Snyk acquires Invariant Labs to boost AI security, enhancing its AI Trust Platform with advanced defense for agentic and AI-native software threats.

Written By: Jordan Smith

Jun 27, 2025

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Secure AI software development organization Snyk recently announced the acquisition of Invariant Labs, an AI security research firm.

Invariant Labs research will now drive innovation in Snyk AI Trust Platform

Through this acquisition, Snyk Labs will receive a boost for its AI security delivery through its AI Trust Platform. It will bring in a team of researchers, a proven track record of industry-first intelligence on agentic attack vectors, MCP vulnerabilities, tool poisoning, and runtime detection techniques.

“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 acquisition of Invariant Labs will also help Snyk customers secure next-gen AI-native and agentic applications, such as large language models (LLMs) and autonomous agents.

“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 Manjo Nair, Chief Innovation Officer at Snyk. “This acquisition also underscores Snyk’s proactive commitment to supporting security teams navigating the urgent and unfamiliar risks of AI-native software, which is rapidly becoming the new software development default.”

Securing against emerging AI threats

Guardrails, built by Invariant Labs, provide a transparent security layer at the LLM and agent level, allowing agent builders and software engineers to augment existing AI systems with strong security safeguards.

Invariant Labs takes contextual information, static scans of agent tools and implementations, runtime information, human annotations, and incident databases to develop a layer of resiliency.

Developers can inspect and observe agent behavior, enforce contextual security rules on agent systems, and scan MCP servers for vulnerabilities with Invariant Labs as well.

“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. We’re excited to join the Snyk team, as this mindset is deeply aligned with their mission.”

More organizations throughout the channel are making significant investments in agentic AI, putting intelligent agents where they can to improve operations. Read more about HPE’s big bet on agentic AI and how they plan to embed it throughout their ecosystem.

Jordan Smith

Jordan Smith is a news writer who has seven years of experience as a journalist, copywriter, podcaster, and copyeditor. He has worked with both written and audio media formats, contributing to IT publications such as MeriTalk, HCLTech, and Channel Insider, and participating in podcasts and panel moderation for IT events.

Snyk Acquires Invariant Labs for Agentic AI Security Work

Invariant Labs research will now drive innovation in Snyk AI Trust Platform

Securing against emerging AI threats

Jordan Smith

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