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.

Snyk's blog is a source of information and advice for developers looking to ensure the security of their software applications. From vulnerability management and secure coding practices to compliance standards and threat intelligence, it covers a wide range of topics relevant to software security. Through practical tips, case studies, and expert commentary, the blog empowers developers to identify and address security vulnerabilities in their code, helping them build and maintain secure software applications in today's threat landscape.

Snyk

Snyk shares five lessons learned from its Evo design partner program over 12 months of building an AI security product. Key findings: most organizations have far more AI models in use than they realize (shadow AI sprawl), standard detection tools miss custom-built AI wrappers requiring tailored discovery, spreadsheets fail to scale for AI inventory, CISOs need out-of-the-box policy templates as a starting point for governance, and teams lack actionable risk intelligence for AI assets since no CVE/CVSS equivalent exists for AI models. The post describes how these insights shaped Evo's capabilities including a Discovery Agent, Custom Discovery, Snyk Generated Policies, and a Risk Intelligence Agent.

5 Lessons from Evo’s Design Partner Program

1. Visibility is the key to uncovering AI sprawl at AI speed

2. Closing the gap requires tailored discovery

3. CISOs need a scalable starting point for policy.

4. Risk intelligence enables AI governance.

5. Operational security extends to agents, MCPs, and enforcement.

What we learned from our design partners is clear