As AI becomes standard, watch for these 4 DevSecOps trends

Key Takeaways:

– AI’s role in software development is becoming more important and organizations need to be proactive in utilizing it effectively and responsibly in DevSecOps.
– There are four global trends in AI that developers and DevSecOps teams need to address: increased use in code testing, threats to IP ownership and privacy, rise in AI bias, and increased reliance on AI technologies.
– Integrating AI will become standard across all industries, not just a luxury, and organizations need to leverage DevSecOps to build AI functionality alongside software.
– Harnessing AI to drive innovation and deliver enhanced customer value is critical for staying competitive in the AI-driven marketplace.
– Organizations need to invest in revising software development governance and emphasize continuous learning and adaptation in AI technologies.
– Cultural and strategic shifts are necessary, including rethinking business processes, product development, and customer engagement strategies.
– Training on how to effectively use AI is desired by DevSecOps teams.
– Companies need to navigate the ethical implications and societal impacts of their AI-driven solutions.
– AI will dominate code-testing workflows.

TechCrunch:

AI’s role in software development is reaching a pivotal moment — one that will compel organizations and their DevSecOps leaders to be more proactive in advocating for effective and responsible AI utilization.

Simultaneously, developers and the wider DevSecOps community must prepare to address four global trends in AI: the increased use of AI in code testing, ongoing threats to IP ownership and privacy, a rise in AI bias, and — despite all of these challenges — an increased reliance on AI technologies. Successfully aligning with these trends will position organizations and DevSecOps teams for success. Ignoring them could stifle innovation or, worse, derail your business strategy.

From luxury to standard: Organizations will embrace AI across the board

Integrating AI will become standard, not a luxury, across all industries of products and services, leveraging DevSecOps to build AI functionality alongside the software that will leverage it. Harnessing AI to drive innovation and deliver enhanced customer value will be critical to staying competitive in the AI-driven marketplace.

From my conversations with GitLab customers and monitoring industry trends, with organizations pushing the boundaries of efficiency through AI adoption, more than two-thirds of businesses will embed AI capabilities within their offerings by the end of 2024. Organizations are evolving from experimenting with AI to becoming AI-centric.

Harnessing AI to drive innovation and deliver enhanced customer value will be critical to staying competitive in the AI-driven marketplace.

To prepare, organizations must invest in revising software development governance and emphasizing continuous learning and adaptation in AI technologies. This will require a cultural and strategic shift. It demands rethinking business processes, product development, and customer engagement strategies. And it requires training — which DevSecOps teams say they want and need. In our latest Global DevSecOps Report, 81% of respondents said they would like more training on how to use AI effectively.

As AI becomes more sophisticated and integral to business operations, companies will need to navigate the ethical implications and societal impacts of their AI-driven solutions, ensuring that they contribute positively to their customers and communities.

AI will dominate code-testing workflows

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AI Eclipse TLDR:

The article discusses the increasing role of artificial intelligence (AI) in software development and the need for organizations and DevSecOps leaders to be proactive in advocating for responsible AI utilization. It highlights four global trends in AI that developers and the DevSecOps community must address: increased use of AI in code testing, threats to IP ownership and privacy, AI bias, and an increased reliance on AI technologies. The article emphasizes the importance of integrating AI as a standard practice across all industries and leveraging DevSecOps to build AI functionality alongside software development. It also emphasizes the need for organizations to invest in revising software development governance, continuous learning, and adaptation in AI technologies. The article concludes by highlighting the ethical implications and societal impacts of AI-driven solutions and the need for companies to navigate them to ensure positive contributions to customers and communities.