AI technologies are compelling teams to accelerate software development and to explore innovations previously regarded as unattainable. While 67% of organizations use AI coding assistants at least weekly to realize these goals, 57% feel that using AI coding assistants has introduced new security risks or has made it harder to detect issues in their codebase. AppSec teams are scrambling to keep pace. Join us for an in-depth exploration of today's DevSecOps landscape based on our yearly Global State of DevSecOps report and findings from independent research institute, SANS. We'll examine the delicate balance between AI-assisted development and modern DevSecOps strategies, focusing on: * The impact of AI coding assistants on development pipelines and security workflows * How AI-ready organizations maximize AppSec coverage and agility * The evolution of traditional application security testing (AST) to AI-enabled AST * Prerequisites for a scalable, robust DevSecOps program purpose-built for AI-enabled development
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