
"Developers are using AI coding assistants to generate functions, refactor modules, review pull requests, and accelerate delivery, often in direct tension with corporate policies meant to limit or control that use."
"From the standpoint of application risk, the code itself doesn't care who wrote it. Vulnerabilities don't discriminate based on authorship. Licenses don't behave differently because the code was 'AI-generated'."
"AI is not introducing a new category of security threats. It is acting as an accelerant for risks that already existed."
"Over the past five years, average file counts have grown by more than 200%, while vulnerability volumes have increased at a similar pace - doubling in some cases."
AI coding assistants are now a common tool in software development, with over half of developers using them regularly. Despite this, more than three-quarters of organizations have policies limiting their use. The tension between AI adoption and corporate governance reflects a misunderstanding of application risk, as vulnerabilities are independent of authorship. AI does not create new security threats but accelerates existing risks. The rapid growth of codebases and vulnerabilities challenges traditional application security programs, with file counts and vulnerability volumes both increasing significantly over recent years.
#ai-in-software-development #coding-assistants #application-security #corporate-policies #vulnerability-management
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