The Enterprise Guide To Ai Powered Devsecops

navigating AI, the Cloud, and security The enterprise guide to AI-powered DevSecOps Writen by GitHub with Table of contents

and how AI can help to solve them

A quick-reference diagram to show where 15 AI and automation can power DevSecOps Foreword DevSecOps is a practice and methodology that seeks to make shifting left a reality by integrating security into every step of the software development lifecycle (SDLC). At its core, DevSecOps works to align security work, and in some cases, engineering and security roles that historically would be done separately, directly into the DevOps workfow. As a result, DevSecOps reduces the cost and impact of security breaches, and enables teams to ship secure software faster. In fact, IBM’s 2023 Cost of a Data Breach report cites a $1.68M cost savings for organizations with high DevSecOps adoption compared to those with low or no adoption. FOReWORD Write The challenge of shifting left Although security professionals have been encouraged to shift left for the past decade, the same IBM report found that only

How AI can help make shifting left a reality When used efectively, AI can help prevent vulnerabilities from being writen in the first place, provide secure code suggestions that developers can then test and refine, and provide context around potential vulnerabilities—all within the developer’s typical workfow. How this guide will help to create an AI-powered DevSecOps strategy The IBM report concluded that DevSecOps was the top factor that helped companies reduce the average cost of a data breach. We’ve previously writen about DevSecOps and best practices, and tips to help organizations integrate security practices throughout the SDLC. Now, let’s discuss how AI can help to alleviate core challenges that organizations face when implementing a DevSecOps strategy: remediating risk eficiently, meeting increasing demand for security intelligence, and maintaining compliance with the latest regulatory standards.