Close Identity Gaps in Software Development Before Unleashing AI
As AI coding assistants proliferate, unmanaged machine identities in CI/CD pipelines are emerging as a blind spot that CISOs should remediate before scaling automated development.
Summary written by editorial AI · Source link below
Artificial Intelligence is complicating security in the software development lifecycle, but a Dark Reading roundtable found collaboration, better identity visibility, and reduced testing costs offer CISOs a way ahead.
Editorial Analysis
Deploying AI in software development without solving identity governance first compounds credential sprawl, a risk multiplier as automation scales.
Audit and enforce identity lifecycle management for all non-human accounts in your development toolchain before expanding AI assistant usage.
AI coding tools are multiplying unmanaged machine identities in your development pipeline, expanding your attack surface faster than teams can track.
Forward-looking interpretation drafted by editorial AI under human review — not a reproduction of the source. See methodology.
External link — opens at Dark Reading in a new tab.
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