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Apr 01, 2026 • Snyk Blog

Building AI Security with Our Customers: 5 Lessons from Evo’s Design Partner Program

This article outlines key lessons from Snyk's Evo design partner program, focusing on securing generative AI environments. It emphasizes the importance of AI...

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Snyk Blog
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Executive Summary

This article outlines key lessons from Snyk's Evo design partner program, focusing on securing generative AI environments. It emphasizes the importance of AI discovery, risk intelligence, and policy automation to manage AI sprawl effectively. While no specific threat actors or malware families are identified, the content addresses the broader risk landscape associated with unauthorized or ungoverned AI usage within enterprises. The primary impact involves potential data leakage and compliance violations stemming from AI sprawl. Mitigation strategies highlighted include implementing robust governance frameworks and automated policy enforcement to maintain security posture. Organizations are encouraged to adopt these lessons to enhance their AI security posture. This guidance serves as a proactive measure against emerging AI-related risks rather than responding to a specific incident. Security teams should leverage these insights to build resilient AI infrastructure.

Summary

Learn 5 key lessons from Snyk’s Evo design partner program. Discover how AI discovery, risk intelligence, and policy automation help teams secure generative AI and govern AI sprawl at scale.

Published Analysis

This article outlines key lessons from Snyk's Evo design partner program, focusing on securing generative AI environments. It emphasizes the importance of AI discovery, risk intelligence, and policy automation to manage AI sprawl effectively. While no specific threat actors or malware families are identified, the content addresses the broader risk landscape associated with unauthorized or ungoverned AI usage within enterprises. The primary impact involves potential data leakage and compliance violations stemming from AI sprawl. Mitigation strategies highlighted include implementing robust governance frameworks and automated policy enforcement to maintain security posture. Organizations are encouraged to adopt these lessons to enhance their AI security posture. This guidance serves as a proactive measure against emerging AI-related risks rather than responding to a specific incident. Security teams should leverage these insights to build resilient AI infrastructure. Learn 5 key lessons from Snyk’s Evo design partner program. Discover how AI discovery, risk intelligence, and policy automation help teams secure generative AI and govern AI sprawl at scale. Learn 5 key lessons from Snyk’s Evo design partner program. Discover how AI discovery, risk intelligence, and policy automation help teams secure generative AI and govern AI sprawl at scale.