AI in DevOps: Transforming the Developer Experience and Expanding the Security Perimeter

AI is transforming software development from the inside out. Developers are using AI-powered assistants, automated testing, and code generation to accelerate delivery — but these same advances are also redefining how organizations manage risk, governance, and orchestration across the DevOps lifecycle.

Enterprise Management Associates (EMA) research finds that 62% of organizations cite security and privacy risks as their top concern with AI in DevOps, even as adoption rapidly outpaces governance. Teams are encountering tool sprawl, interoperability gaps, and orchestration challenges as they experiment with AI-enabled development tools at scale. The result is a dual impact — dramatic productivity gains coupled with new vulnerabilities and oversight demands that are reshaping how teams collaborate, test, and release software.

EMA’s new research report, “AI in DevOps: Understanding the Impact of AI-Enabled Developer Tools,” based on a global survey of more than 200 IT and DevOps leaders, explores how enterprises are balancing innovation with control as AI becomes embedded in software delivery pipelines.

Join Dan Twing, President and COO of EMA, and Pete Goldin, Editor and Publisher of DEVOPSdigest, for a webinar that highlights key findings, including:

• How AI is changing the developer’s role in coding, testing, and delivery
• Why security and governance now define the boundaries of AI-enabled development
• How tool sprawl and orchestration complexity challenge DevSecOps integration
• What leading teams are doing to balance innovation, trust, and control in AI-assisted development