DevSecOps - like its fraternal twin, DevOps - has been a process in play for several years now in software shops, intended to enable more collaborative and intelligent workflows.
Now, AI is poised to add more juice to these efforts - but many are still skeptical about its implications.
Also: AI brings a lot more to the DevOps experience than meets the eye.
These are some of the takeaways from a recent survey out of the SANS Institute, involving 363 IT executives and managers, which finds rising interest in adding AI or machine learning capabilities to DevSecOps workflows.
Just over the past year, there has been a significant increase in the use of AI or data science to improve DevSecOps through investigation and experimentation - from 33% in 2022 to 49% in 2023.
While interest in applying AI to the software development lifecycle is on the rise, there is also healthy skepticism about going full-throttle when injecting AI into workflows.
Also: Generative AI now requires developers to stretch cross-functionally.
Many organizations feel an urgent need for more qualified DevSecOps personnel - 38% report skills gaps in this area.
Platform engineering, intended to streamline the flow of software from idea to implementation, also is gaining ground - fully or partially adopted by 27% of respondents.
This Cyber News was published on www.zdnet.com. Publication date: Tue, 19 Dec 2023 22:13:05 +0000