Papers by “Snyk”

The AI-Enhanced Security Champion

– White Paper

Organizations across industries are rapidly adopting Artificial Intelligence (AI) and Machine Learning (ML) technologies, transforming both internal operations and customer-facing products.

December 2025

The AI-Enhanced Security Champion

– White Paper

Organizations across industries are rapidly adopting Artificial Intelligence (AI) and Machine Learning (ML) technologies, transforming both internal operations and customer-facing products.

December 2025

Securing Vibe Coding

– Addressing the Security Challenges of AI-Generated Code

As AI coding tools become embedded in daily development, they bring a new wave of productivity and new security risks.

Securing Vibe Coding

– Addressing the Security Challenges of AI-Generated Code

As AI coding tools become embedded in daily development, they bring a new wave of productivity and new security risks.

288% ROI: The Total Economic Impact™ Of Snyk

– Report

Explores how the Snyk platform helped customers improve productivity, enhance risk posture, and benefit from tool consolidation compared to prior solutions

November 2025

Invisible Threats: Mapping the Hidden Attack Surface of AI-Native Apps

– White Paper

AI-native applications are fundamentally changing software security. Unlike static web apps, AI-native systems continually evolve and rewrite themselves, making their attack surfaces fluid and often invisible to traditional tools.

November 2025

Secure by Design with the Snyk AI Trust Platform

– Cheat Sheet

This cheat sheet provides a practical, step-by-step approach to deploying AI development tools securely and scalably.

October 2025

Building AI Trust: Securing Code in the Age of Autonomous Development

– White Paper

AI is reshaping how developers build, leading to faster development cycles. But how secure is AI-generated code?

October 2025

Embedding security directly into AI coding assistants and workflows

– Snyk’s Secure At Inception finds and fixes all vulnerabilities in your AI-generated code

AI is rapidly shifting the way enterprise code is constructed, leaving legacy security tools unequal to the challenges of ‘vibe coding’, where AI agents interact with external tools, data and models – dramatically expanding the risk surface in the software generated.

November 2025

Secure by Design: A Playbook for AI-Assisted Coding

– Playbook

Up to 55% of AI-generated code contains vulnerabilities, creating hidden security debt that slows teams later.

October 2025

Building Trust in AI: A Practical Guide to AI TrustOps

– Cheat Sheet

Is your team prepared to embrace AI-accelerated development and the risks that come with it?

October 2025

Building AI Trust: Securing Code in the Age of Autonomous Development

– White Paper

AI is reshaping how developers build, leading to faster development cycles. But how secure is AI-generated code?

October 2025

Introducing the AI Readiness Framework: Secure AI-Driven Development

– White Paper

Are your security practices keeping pace with AI-accelerated development?

October 2025

OWASP Top 10 for LLM Application 2025

– Webinar

This session will review the OWASP Top 10 for LLMs, highlighting the most common security risks introduced by Large Language Models, such as prompt injection and data poisoning.

November 2025

The Rise of Agentic AI: Achieving Security Success in a Rapidly Changing Threat Landscape

– eBook

Agentic AI is transforming businesses and introducing unpredictable security risks. Discover why securing your agentic AI systems is now just as critical as securing your code.

October 2025