Securing The AI Revolution: How Snyk And Our Partners Are Scaling For The Future
Summary
Snyk is transitioning its go-to-market strategy to a partner-centric model, driven by the rapid velocity of AI-generated code and the inability of traditional security teams to keep pace. The company, which initially thrived on product-led growth, now emphasizes deep integrations with platforms like Anthropic (Claude Code), Cursor, AWS, Atlassian, and OpenAI. This shift addresses enterprise demand for scalable AI code governance, moving beyond mere tool sales to comprehensive transformation partnerships. This strategy has yielded significant results, with partner-sourced new ARR bookings in North America growing over 6x between 2023 and 2025. Snyk is further investing in this model through a formal Partner Services Delivery Program and a Partner Accelerator Fund to empower partners to build robust AI security practices.
Key takeaway
For Directors of AI/ML or security leaders scaling AI-generated code, recognize that software tools alone are insufficient for governance. You should prioritize engaging partners offering embedded professional services, including AI/AppSec maturity assessments and custom policy development, over merely purchasing security products. This approach ensures your organization can effectively manage the accelerated pace of development and mitigate the shrinking window for exploitation. Evaluate vendors based on their partner ecosystem and investment in service delivery programs.
Key insights
AI's code generation velocity necessitates a partner-led security model for scalable enterprise governance.
Principles
- AI code velocity outpaces traditional security review.
- Enterprise security requires embedded transformation partners.
- Partnerships scale security beyond software alone.
Method
Snyk's Partner Services Delivery Program guides partners through two phases: initial implementation services with Snyk's team, then building full practices including assessments and custom policy development, using Snyk's certified playbooks.
In practice
- Integrate security tools directly where AI code originates.
- Develop professional services for AI/AppSec maturity assessments.
- Invest in partner certification for consistent customer outcomes.
Topics
- AI Security
- Partner Ecosystems
- Application Security
- Go-to-Market Strategy
- Professional Services
- AI Code Governance
Best for: CTO, VP of Engineering/Data, Consultant, Director of AI/ML, Executive
Related on AIssential
Editorial summary, takeaway, and curation by AIssential. Original article published by Blog RSS Feed | Snyk.