How to bolster security to keep pace with AI-driven development
Learn how leading security and engineering teams are closing the gap between vulnerabilities found and vulnerabilities fixed without slowing delivery, plus practical strategies for navigating AI development at scale.
AI is accelerating how software gets built, but not how it gets secured. As software systems grow more complex and AI development tools generate more code than ever, security debt is compounding faster than most teams can manage.
Traditional security models weren’t designed for today’s pace of delivery, and teams are shipping far more code than they can realistically review, triage, and fix. The result is a surge in vulnerabilities and an ever-growing backlog that forces security teams to focus on remediation instead of innovation.
This guidebook explores ways to break that cycle, including:
How to prioritize security from the start using Secure by Design principles
How security leaders can use GitHub Advanced Security tools to help ensure code is secure before it gets pushed
A practical rollout plan for improving your organization’s security posture: what to do first, what to measure, and how to scale
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