A checklist for AI-powered DevSecOps (original) (raw)

Skip to content

Unlock AI’s true impact across the SDLC. Explore key findings from Gartner®.

View all features

Provide feedback

Saved searches

Use saved searches to filter your results more quickly

Sign up

Our new white paper, A checklist for AI-powered DevSecOps, offers an in-depth guide to infusing your DevSecOps strategy with AI. Learn how to integrate intelligent tools into your developer workflows to catch vulnerabilities earlier, reduce response times from months to minutes, and shift from reactive to proactive security management.

This white paper presents actionable steps, key insights, and best practices to help you evaluate your DevSecOps posture and leverage AI to fortify your development pipeline. From platform security fundamentals to codebase protection and build system integrity, you’ll find comprehensive guidance to create a more resilient security framework that supports both innovation and agility.

What you’ll learn:

A dark background is filled with Security themed shapes and illustrations that are slightly blurred. In the foreground, a sentence reads: "A checklist for AI-powered DevSecOps." There is also a question following it: "Could your codebases use a security boost from AI?"

Read the ebook

First name

Last name

Work email

Job title

Company

Phone number

Country

Yes please, I’d like GitHub and affiliates to use my information for personalized communications, targeted advertising and campaign effectiveness. See the GitHub Privacy Statement for more details.

Loading CAPTCHA...

Explore other resources

Modernizing COBOL with GitHub Copilot

The image features a dark background with an array of AI-inspired shapes positioned behind the foreground text which reads "Modernizing COBOL with GitHub Copilot." A blur filter has been applied to the background.

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

A dark background with an array of AI-themed shapes and illustrations are blurred behind the foreground text, which reads "AI-driven DevOps for modern software development". The accompanying description highlights how combining AI and DevOps platforms can lead to innovative solutions at scale.

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

The alt text for this image is as follows: A dark background with an assortment of Enterprise themed shapes and illustrations are positioned behind the text. The foreground text reads "The engineering leader's guide to AI. Ask these questions to find the right AI solution for your team." A blur filter is applied to the background.

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.