How to Conduct a Successful Audit of AI-Driven Software Development

This SecurityWeek article discusses the need for a new type of audit – an ‘agentic development lifecycle’ (ADLC) audit – to address the security risks introduced by AI-driven software development, particularly large language models (LLMs). It highlights that while AI boosts productivity, it also creates new vulnerabilities and visibility gaps, demanding CISO teams focus on tool usage, developer capabilities, and vulnerability assessments to mitigate these risks. The article emphasizes the importance of proactive auditing to ensure AI deployment aligns with security goals and regulatory compliance.