A global survey of 820 IT decision makers and DevOps practitioners finds that half of respondents (53%) report that developers in the age of artificial intelligence (AI) are now authoring more tests directly. Conducted by Perforce, that shift also appears to be enabling a similar percentage of organizations (55%) to provide quality assurance (QA) teams with more time to focus on analytics. Perforce CTO Anjali Arora said it appears that organizations are investing more time and effort in testing to prevent suboptimal code, otherwise known as AI slop, from being incorporated into software builds. That effort, in fact, also appears to be spurring more adoption of best DevSecOps practices, with 52% of respondents reporting their software development teams are embedding secure coding practices into the continuous integration/continuous delivery (CI/CD) platform. Half (50%) are also embedding security practices in code review, while 49% also extend security practices into runtime or pr...
Codenotary is previewing a software-as–a-service (SaaS) platform that enables artificial intelligence (AI) agents it has developed to autonomously detect, prioritize, and fix security, configuration, and performance issues. Company CEO Moshe Bar said the Codenotary Trust platform also enables continuous vulnerability tracking at both the Linux operating system and application level. Once an issue is detected, […] from DevOps.com https://ift.tt/yBg7Krm