Snyk Unveils AI Trust Platform to Secure and Accelerate Software Development

Snyk Launches AI Trust Platform to Secure Software Development

Snyk, a leader in secure AI software development, has introduced the Snyk AI Trust Platform, an AI-native solution focused on securing and governing software development. This platform helps organizations speed up AI-driven innovation while managing business risks effectively.

Snyk Labs and Snyk Studio

The launch includes two curated environments that support the platform: Snyk Labs and Snyk Studio. Snyk Labs serves as an innovation hub dedicated to researching and developing future AI security solutions. Snyk Studio provides a collaborative space where technology partners work alongside Snyk experts to build secure AI-native applications for shared customers.

Peter McKay, CEO of Snyk, emphasized the company’s mission: putting security directly in the hands of developers, a practice now widely accepted in the industry. With this new platform, Snyk aims to help customers adopt AI securely and confidently.

Addressing Cybersecurity Challenges

The platform and its supporting environments tackle emerging cybersecurity threats that exploit AI, such as prompt injections and data poisoning. These attacks can compromise code integrity and infect product lines.

Danny Allan, Snyk’s CTO, highlighted that AI is meant to augment developers, not replace them. He pointed out that Snyk is well-positioned to assist organizations with the strategic and practical aspects of adopting AI securely from the start.

Key Innovations of the AI Trust Platform

• Snyk Assist: An AI-powered chat experience providing contextual, real-time insights, recommendations, and security intelligence during development.
• Snyk Agent: A suite of AI-driven security agents that automate actions and fixes across the development lifecycle, leveraging Snyk’s testing engines.
• Snyk Guard: An AI governance tool that enforces security policies dynamically, adapting in real time to evolving risk factors.
• Snyk AI Readiness Framework: A framework to help organizations build and mature strategies for secure AI-native software development.
• Snyk Studio: Enables AI-native partners to integrate Snyk’s security capabilities into their coding assistants via the Model Context Protocol (MCP) server.

Adrian Guevara, CISO at TELUS Digital Solutions, praised the platform’s comprehensive approach, noting it offers CISOs confidence and peace of mind as their teams shift toward AI-driven development.

Technical Demos and Research

Snyk Labs will provide technical demos, thought leadership, and early insights into emerging threats and standards in generative AI security. Initial research focuses on AI Security Posture Management (AI SPM), including an AI Bill of Materials (AI BoM) for tracking where AI models are embedded within software.

Additionally, Snyk is developing an industry-first GenAI model risk registry to monitor risks such as model jailbreaking.

Snyk Studio partners with technology companies in their early AI development phases to help deploy AI securely. Developers and providers collaborate with Snyk experts to embed security controls and context into AI-generated code and workflows.

The newly developed MCP server standardizes how AI models within partner solutions access and incorporate Snyk’s security context.

Itamar Friedman, CEO of Qodo, a Snyk user, noted that integrating Snyk’s security context via MCP improves AI coding experiences, balancing speed and innovation with strong security standards.

As AI tools become more widespread, platforms like Snyk’s AI Trust Platform play a crucial role in supporting secure software development.

For IT professionals interested in enhancing their AI and security skills, exploring dedicated AI courses can provide valuable knowledge and practical techniques. Resources like Complete AI Training’s latest AI courses offer focused learning paths for developers and security experts alike.