Navigating the Journey from Manual Workflows to Intelligence-Driven DevSecOps

AI has fundamentally changed the speed of software development, but autonomy without mature AppSec only amplifies risk. Security leaders today face a dual challenge. They must manage a growing mountain of vulnerability debt while simultaneously securing a brand new AI software supply chain. To move forward, organizations need more than just tools. They need a clear and practical framework to operationalize security at the speed of AI innovation.

In this webinar, we introduce the Prescriptive Path to AI Security. This is a strategic roadmap designed to help you assess your current posture and progress toward a mature, automated security program. We will walk through the core pillars of this journey, starting from stabilizing your foundations with complete visibility and moving toward scaling governance with confidence.

Through real-world examples and live demonstrations, you will discover how to apply the Snyk AI Security Platform at every stage of the path. We will explore how to stop risks at the point of creation through Secure at Inception guardrails, optimize remediation with AI-powered fixes, and ultimately architect trust across your entire SDLC.

Key Takeaways:

• The Prescriptive Path Framework: Understand the stages of maturing your AI security, moving from foundational visibility to scaled automated governance.
• Stabilize and Prevent (Secure at Inception): See how to eliminate blind spots and enforce AI guardrails directly within developer IDEs like Gemini, Claude, and Antigravity to stop vulnerabilities before they reach the codebase.
• Optimize Risk Reduction: Learn to move beyond basic severity scores and use deterministic security intelligence to prioritize the risks that are truly exploitable.
• Scale with AI-Powered Remediation: Discover how to achieve 60% faster remediation times using trusted and automated fix suggestions that keep developers in their flow.
• Prove Program Impact: Learn how to transition from unprovable risk to measurable ROI and auditable governance that scales with AI velocity.