11 hours ago
Snyk acquires Invariant Labs to boost AI-native app security
Snyk has announced the acquisition of Invariant Labs, a move set to expand its AI security capabilities and address the increasing security demands of AI-native and agentic applications.
Invariant Labs, known for its work in shaping security standards for agentic AI, will now become part of Snyk, integrating its research and technologies with Snyk's recently launched AI Trust Platform. The acquisition marks Snyk's twelfth to date and brings with it a new research and development function, Snyk Labs, to advance security for emerging AI risks.
AI security integration
Peter McKay, Chief Executive Officer at Snyk, commented on the impact of the acquisition: "This acquisition is an important integration into Snyk's recently launched AI Trust Platform that adds the ability to secure applications from emergent threats. Snyk can now offer customers a single platform to address both current application and agentic AI vulnerabilities."
According to Snyk, the technologies and approaches developed by Invariant Labs will be absorbed into Snyk Labs, concentrating efforts on research regarding AI security, especially in relation to large language models (LLMs), autonomous agents, and multi-component protocol (MCP) systems. Snyk Labs will serve as the company's new research arm, delivering capabilities through its AI Trust Platform by focusing on threats such as tool poisoning and MCP rug pulls.
With the rapid growth of AI-native software in enterprise settings, security teams are increasingly confronted with new and unfamiliar threats. Snyk's acquisition of Invariant Labs aims to provide consolidated tools and intelligence, equipping customers to manage risks associated with agent-based systems in real-time production environments.
Responding to evolving risks
Snyk emphasised that the integration will allow security professionals to secure not only established applications, but also the emerging generation of AI-native and agentic software that is seeing widespread adoption. This dual focus is intended to support companies dealing with risks such as unauthorised data exfiltration, agent actions beyond the intended scope, and MCP vulnerabilities.
At the forefront of research on new AI risks, Invariant Labs has played a key role in identifying and naming novel attack types, including terms like "tool poisoning" and "MCP rug pulls," which are already being observed in live deployments. "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. "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."
Technology and research
Invariant Labs is known for developing Guardrails, a transparent security layer for LLMs and AI agents. Guardrails enables developers to implement security controls, observe system behaviours in context, and enforce policies based on a combination of static and runtime data, human review, and incident logs. These features are designed to help developers scan for vulnerabilities and monitor agent compliance with security standards.
Marc Fischer, PhD, Chief Executive Officer and co-founder of Invariant Labs, commented on the direction of the merged teams: "We've spent years researching and building the frameworks necessary to secure the AI-native future. 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."
The collaboration is expected to further embed Invariant Labs' research-driven approach into Snyk's product offerings, supporting organisations with real-time defences against current and emerging AI threats.
As AI adoption continues to rise, this acquisition highlights steps being taken within the cybersecurity sector to address vulnerabilities inherent to autonomous, agent-based, and AI-native systems already in use across industry.
