Introducing the Snyk AI Trust Platform

Artificial Intelligence (AI) is transforming software development, bringing exciting new levels of speed and productivity. But increased acceleration also introduces new risks if not managed effectively. Earlier this year, Microsoft’s CEO projected that by 2030, 95% of code will be AI-generated. Whilst a significant boost for efficiency, it also raises serious concerns for security. In fact, a study found nearly half (48%) of AI-generated code is insecure. As development accelerates, creating opportunities for insecure code, and entirely new threat vectors emerge, traditional approaches to application security just can’t keep up.

This new reality impacts every team involved in delivering software:

• Developers: Their roles are evolving, moving towards prompt engineering and AI code analysis as more code is generated by AI. Developers need new skills and integrated tools to secure the code they manage.

• Security Teams: Already struggling with development velocity, security teams now face an even greater volume of code, much of it insecure by default, alongside new AI-specific attack surfaces.

• Platform Engineering Teams: New AI tools and services add to tool sprawl and complexity, increasing workflow friction and creating security gaps across the development and deployment pipeline.

Beyond the volume and potential insecurity of AI-generated code, AI-powered applications introduce new and complex threats that traditional security approaches weren't designed to handle. These include risks like prompt injection attacks (AI jailbreaks), data poisoning that compromises model integrity, package hallucination, broken access controls, data exfiltration, model theft, insecure outputs, and insecure plugins. 

AI-native apps rely on inherently non-deterministic workflows, a unique challenge that changes how we approach software security. In order to address this, we need adaptive security systems that focus on proactive threat modeling and continuous testing. 

Navigating AI-driven development demands a new approach that enables you to innovate with AI at full speed while building confidence in the security of your software. This is AI Trust: the ability to develop fast and stay secure in a fully AI-enabled, agentic reality, reducing human effort while improving security policy and governance efficiency.

Today, we are proud to introduce the Snyk AI Trust Platform, purpose-built to help you secure your future in the age of AI.

How the Snyk AI Trust Platform builds security and governance for AI-powered development

The Snyk AI Trust Platform is more than a platform with AI features; it’s an AI-native, agentic platform built on Snyk’s foundation of strong AppSec and governance. This means AI is fundamentally integrated to power key capabilities and automate tasks throughout the development lifecycle. It's built to unleash innovation, reduce business risk, and accelerate software delivery by uniting security, platform engineers, and development teams.

AI drives comprehensive Visibility by discovering assets, issues, and vulnerabilities. It also enhances Prioritization by intelligently classifying data and identifying the reachability of vulnerable functions. AI fuels Policy by generating personalized fixes and visualizing complex workflows, ultimately reducing human effort while improving your security and governance efficiency.

Built on Snyk's industry-leading engines, built-in capabilities, and enterprise readiness, and amplified by powerful platform features, the AI Trust Platform integrates seamlessly into your existing development ecosystem while providing you the tools to embrace AI securely.

Powering AI innovation with new AI workflows

Achieving AI Trust requires embedding security directly into the AI-powered development workflows. The Snyk AI Trust Platform introduces powerful new AI workflows to make security a natural part of building with AI.

Snyk Assist

Snyk Assist is an AI-powered security expert who sits alongside developers in their training workflow. This AI assistant delivers developer education and insights integrated through Snyk Learn, providing real-time answers to questions about secure coding practices, vulnerability remediation, and product functionality. By providing more information and helping developers quickly understand and remediate findings, Snyk Assist boosts visibility, prioritization, and policy.

Snyk Agent Fix

Beyond suggestions, Snyk Agent Fix autonomously generates and validates fixes, enabling developers to secure code at AI speed within their IDE and pull requests, and without breaking their flow. Verified fixes minimize the potential for changes to break code or introduce new vulnerabilities. Snyk Agent significantly contributes to Policy by automating remediation for identified issues that violate policy.

Snyk Studio

For teams building their own AI-driven applications or development platforms, Snyk Studio serves as an integration building ground. Through the Snyk MCP Server for GenAI design partners, Snyk Studio enables partners to directly integrate Snyk's security scanning capabilities into their coding assistants and AI-assisted workflows. This creates an integrated "guardrail" that helps secure code at the speed of generation, bridging the gap between security scanning and emerging AI workflows. Snyk Studio supports Visibility by enabling testing of AI components and Policy by allowing teams to explore how to build security controls into their AI applications.

Snyk Guard

Snyk Guard represents the future of AI-applied policy management. It will leverage the Snyk policy engine to deploy real-time guardrails that assess, enforce, and adapt based on evolving risk factors. Snyk Guard will be designed to allow scalable, agentic Policy enforcement.

Achieving AI trust through visibility, prioritization, and policy

The Snyk AI Trust Platform delivers the core pillars of adequate security and governance.

Comprehensive visibility across your AI-driven applications

Getting a complete and accurate view of your application and code assets, including AI-generated elements and AI-powered applications, is more critical and challenging than ever. AI Trust starts with visibility, and the Snyk AI Trust Platform delivers the visibility you need. 

• Asset Discovery and Inventory: Get a complete inventory of your applications and their components, including those built with or leveraging AI.

• Snyk API & Web: A new product specifically designed to find and test for vulnerabilities in APIs and Web Apps with DAST, crucial for understanding the security posture of modern, interconnected applications, including those powered by AI. Snyk API & Web not only tests AI-powered applications but also utilizes AI in its assessments. The new AI-Powered Broken Object Level Authorization (BOLA) testing is a key advancement in API security testing capabilities. BOLA, #1 in the OWASP Top 10 API Security Risks, is a critical vulnerability where attackers access data objects they shouldn't by manipulating object IDs in API requests. Snyk API & Web is using an LLM to enhance its API testing to uncover and clearly identify these complex and previously difficult-to-detect authorization flaws. 

• Snyk Analytics Enhancements: A revamped Snyk Analytics experience, including a redesigned customizable dashboard, new reports (PCI-DSS, Test Usage in CI/CD Pipeline, and Fix PR Visibility), the ability to save custom report views for various users and use cases, and an Export API, allowing users to programmatically access and export Snyk data for further analysis or integration with other tools. 

• SDLC Coverage & Visibility: Snyk provides visibility across the entire development lifecycle with the broadest set of AppSec testing techniques that support full SDLC coverage, helping you uncover gaps, test them, and ensure security is addressed from code to cloud.

Intelligent prioritization to focus on what matters most

With increasing code velocity and vulnerability noise, effective prioritization is key to focusing limited resources on the risks that matter most. Snyk uses AI-powered analysis and deep context to cut through the noise with:

• Risk-based prioritization: Leverage critical context, such as reachability, business context, and other risk factors, to understand a vulnerability's true impact.

• AI-powered analysis: Accelerate identifying and understanding issues, including those in AI-generated code, with speed and accuracy.

• Efficient remediation: Fast scans and contextual analysis help prioritize and fix faster. Tuning your results through ignores and identifying vulnerabilities introduced in code deltas in Snyk Code helps developers manage findings efficiently.

• More language support for reachability: Expanding the languages supported with reachability for Snyk Open Source enhances the accuracy and relevance of findings in open source dependencies.

Scalable policy enforcement and governance

As AI increases development speed and complexity, security policies must be adaptable and enforceable at scale without becoming a bottleneck. Snyk provides the comprehensive governance capabilities needed to unite developers and security effectively with:

• Snyk Guard: Snyk’s vision for the future of AI-applied policy management is designed to assess, enforce, and adapt security policies in real-time based on evolving risk factors.

• Unified Policies: Centralized policy management ensures consistency and simplifies governance across the organization.

• Policy guardrails and PR checks: Prevent insecure code from entering the codebase early in the development process. Use Pull Request Checks and PR Inline comments from Snyk Code to provide feedback directly in the developer's workflow. Thanks to Snyk Agent Fix in pull requests, developers can immediately effect expert-guided auto-remediation.

• Learning Management Add-On: This new add-on for Snyk Learn improves developer security education adoption by helping developers upskill on security best practices and policy requirements through assignments and learning paths.

How AI trust benefits every team

The Snyk AI Trust Platform delivers benefits across your organization. Developers innovate faster with AI, confident that security is integrated into workflows. They also get support for upskilling and adapting to new AI-driven development practices. 

Security teams are able to stay ahead of new threats and AI's expanding attack surface by building an increasingly automated, modern AppSec program with comprehensive visibility and control. 

Operations and Platform Teams benefit from the reduction of tool sprawl and improvement in efficiency by consolidating security into a unified platform. This is due to AI trust building standardized, secure development environments that support AI innovation. 

Finally, organizations can reduce overall business risk and accelerate software delivery. Confidently deliver on your AI strategy and maintain a competitive edge with AI Trust.

The future of secure AI development starts with Snyk

The launch of the Snyk AI Trust Platform is just the beginning. As an AI company focused on security, Snyk is also looking ahead to the future of securing AI-native applications. This work is spearheaded by Snyk Labs, our advanced research arm dedicated to innovating and incubating new solutions in this rapidly evolving space. Snyk Labs is actively researching new AI threats, building coalitions, and incubating solutions to secure AI models and AI-native apps. One of our key initiatives includes working on the world's first and most comprehensive AI Model Risk Registry to provide much-needed visibility into potential model risks.

By providing AI Trust through comprehensive visibility, intelligent prioritization, and scalable policy enforcement, Snyk enables every team to contribute to a secure and innovative future.

Ready to build AI Trust in your organization? Learn more about the Snyk AI Trust Platform.