Go beyond code scanning with AI-powered AppSec
October 30, 2024
Under pressure to ship and meet business demands, development teams often introduce more security vulnerabilities to code than they fix. In other words, they're racking up security and technical debt. It's a difficult cycle to break.
Companies can't afford to slow their rate of innovation by reducing the pace of software development, but they also need to ensure their products are secure.
The good news is there’s a way out of security debt that doesn’t require sacrificing engineering speed or innovation.
What’s inside:
A clear explanation of what security debt is and how it accumulates
A three-step action plan to leverage AI to reduce security debt and keep new debt from accruing.
Advice on how to embed AI-powered security into the tools developers already know and love to bridge the divide between developers and security.
Explore other resources
Modernizing COBOL with GitHub Copilot
Explore how GitHub Copilot can transform your legacy systems. Discover the best practices we've developed to help leading organizations achieve smoother migrations and revitalize their COBOL codebase.
What AI Means for the Future of DevOps
Harnessing AI's full potential isn't just about boosting productivity in isolated phases—it's about driving real organizational value across the entire software development lifecycle.
The engineering leader’s guide to AI
AI coding is here. Developers have embraced it and already use various tools for AI code generation to augment their coding capabilities and offload some of their more mundane tasks.