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DevSecOps

Assess

Techniques

An approach that embeds security practices into software development and delivery workflows.

Why it's here

Placed in Assess: 1 article(s) of evidence from 1 source(s), led by research-stage coverage, with 1 in the last 30 days. Confidence 24%. Low accumulated evidence, so it defaults conservatively pending more signal.

Evidence (1)

  • 6The New Stack·7/29/2026research
    AI strategy shifts from coding speed to delivery throughput

    The article argues that many companies invest in AI to make developers code faster, but coding is only a small part of software delivery. It says the biggest gains come from applying AI across the full software development lifecycle, especially in workflows like testing, reviews, incident response, and DevSecOps. The piece cites large regulated enterprises as examples of where AI can deliver measurable value when paired with mature CI/CD and automation.