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ai security
How CISOs Can Secure AI-Driven Software Development
JFrog's Field CISO Paul Davis outlines strategies for securing artificial intelligence (AI) driven software development, including improving visibility across the development lifecycle, contextual vulnerability prioritization, and governance of coding agents. The article addresses the challenge that AI coding tools increase code volume while compressing security timelines.
Why it matters: CISOs and development leaders need practical approaches to govern AI coding agents and maintain security controls as these tools expand code output and accelerate delivery cycles.
- First seen by Cybersecurity Tracker