Snyk, the AI security company, has recently introduced the AI Security Fabric. This unified security layer provides continuous protection across the software development lifecycle (SDLC). The AI Security Fabric delivers a comprehensive view of assets, prevention, and governance. This approach helps businesses create, launch, and manage AI applications securely. It also keeps things fast and encourages innovation.
With the increasing dependence of modern development teams on AI for code writing, application development, and workflow automation, organizations are also witnessing an accelerated rise in AI-powered cyber threats. Organizations are now facing challenges related to rising security debt, increasing attack surfaces, and emerging types of vulnerabilities introduced by AI-powered development methodologies. At the same time, the absence of standardized governance for AI technologies is also contributing to the widening of security gaps. With AI infrastructure becoming a new foundation layer of modern computing, there is a need for an always-on security fabric, as opposed to point-in-time or episodic security.
The Snyk AI Security Platform is the central engine driving this paradigm shift, protecting the development of generative AI from the earliest point and also covering new agent-based systems and AI-native application architectures.
The Snyk AI Security Platform organizes the AI Security Fabric into three key pillars:
The Foundation: AI-Accelerated DevSecOps
The Accelerator: AI-Driven Development
The Frontier: AI-Native Software
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When Creation Accelerates Beyond Human Speed, Risk Accelerates Too
The quick shift to AI-driven software development is changing traditional security models. Organizations now deal with a fragmented and ever-evolving attack surface. Here, autonomous threats meet old vulnerabilities, letting risks grow at machine speed. The AI Security Fabric is purpose-built to address three converging challenges:
Vulnerabilities are growing faster. The rapid rise in software code from AI-assisted development is adding many potential security flaws. To keep pace, security must shift from reactive detection to a “secure at inception” model that prevents vulnerabilities before they enter production and further expand existing security backlogs.
Time to exploit is shrinking. Gartner predicts that AI will speed up vulnerability exploitation by 50% by 2027¹. Automated attacks are quickly hitting exposed systems. So, organizations need to cut down on security debt. This helps minimize risk and stops further incidents.
AI increases risk: As companies use AI-native architectures, unmanaged models and autonomous agents are more common in development and production. This growing presence of so-called “Shadow AI” creates a fragmented and opaque attack surface where the threat extends beyond application code to the decision-making and execution capabilities of AI itself. A compromised agent can autonomously orchestrate multiple attack paths by chaining new exploits with previously unresolved vulnerabilities—escalating risk faster than human teams can respond.
New findings from Snyk’s 2026 State of Agentic AI Adoption Report, based on anonymized insights from more than 500 enterprise Evo environments, show that Shadow AI is significantly more prevalent than most organizations expect. For each AI model used, companies add about three hidden software parts. These include datasets and third-party tools. Organizations often use AI tools from external packages, making up 82% of their sources. This practice creates a software supply chain that is hard to monitor and govern. Traditional security solutions struggle to detect or control these risks.
Continuous Defense Without Slowing Innovation
To tackle these growing risks, we need a security strategy that works well and is cost-effective. A recent Forrester study showed that companies using the Snyk AI Security Platform, part of the AI Security Fabric, saw a 288% return on investment over three years. By consolidating legacy application security tools and reducing remediation time by 60%, organizations were able to significantly reduce security debt and recover their investment in less than six months.
“Our customers need to build fearlessly in the AI era, but when creation accelerates beyond human speed, risk becomes unmanageable,” said Peter McKay, CEO of Snyk. “Companies don’t just need application security – they need an AI Security Fabric. Snyk is the only company delivering the capabilities, the guidance, and the visionary innovation to weave that Fabric, ensuring that trust is architected into software from the first prompt to production.”