As DevSecOps practices matured, AI emerged as a critical tool in addressing some of the most pressing challenges in software development, particularly in security. AI's ability to automate repetitive tasks, analyze vast amounts of data, and provide actionable insights has proven invaluable in streamlining security processes and reducing the workload on developers.
The need for a more integrated approach is also echoed by Amanda Pinto, a security expert, who noted, "Security can't be bolted on at the end anymore. It has to be woven into every step of the SDLC. That means developers, operations, and security teams need to collaborate like never before."
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