In today's business ecosystem, there isn't an issue of obtaining data. We share data daily as consumers and business leaders. But in healthcare, where data is sensitive, private, and highly regulated, access to quality, representative datasets is a challenge. This is where synthetic data is emerging — not as a perfect solution but as a vital tool in the AI development toolbox ...

According to CyberArk research, Non-Human Identities (NHIs) outnumbered human identities by at least 45-to-1 in 2022 ... At the core of every NHI is an authentication credential, aka a secret. GitGuardian's 2025 State of Secrets Sprawl Report reveals concerning trends in secrets exposure, indicating current management approaches are insufficient to address NHI-related risks ...

Contrary to what you've read, generative AI (GenAI) doesn't spell the end of software developers. Yes, IT has joined a list of business operations earmarked for AI rollout as executives buy into the idea that well-trained algorithms can make their operations more "efficient." Rather than eliminating software engineering, AI is transforming the role, and with employers expecting to increase hiring, the question is how developers leverage AI and adjust to the new role ...

Two years after Oracle introduced its employee-based pricing for Oracle Java SE, concerns remain high, according to the Azul State of Java Survey & Report ...

AI is being rushed in, and as often happens in human experience, the moment's excitement overshadows our precautionary common sense. At this point, the huge threat I foresee in AI implementation is security. The power of this new technology will be very unforgiving, and drivers of fast implementation, which tend to be the desire to make large amounts of fast money, could turn into financial and reputational nightmares of unimaginable proportions ...

There's immense pressure on C-Suite leaders to bring new ideas to the table that will both elevate the profile of their enterprise and maintain efficiency and excellence. This task can be made even more daunting considering the amount of resources available that claim to help companies streamline their processes, enhance workflows, and boost productivity — especially regarding technology. Among the advanced technologies vying for the attention of the C-Suite, there is one tool that often remains largely undiscussed: low-code ...

The idea of embedding security into DevOps isn't new, and it's fair to say it's never been fully realized, but API security presents a particular challenge for DevOps that requires consideration ... Wallarm recently completed our annual API ThreatStats report for 2025. The findings reveal a sharp increase in both AI and API-related vulnerabilities ...

Enterprise technology has changed considerably over the last decade ... As technology advances, it's driving a shift in how applications are developed, tested, and maintained. Gone are the days when software testing was a checkbox mentality; today, it's a strategic imperative that requires stakeholder involvement from all business areas. With that in mind, let's explore some key trends shaping the industry ...

2025 will mark a pivotal shift for the DevOps community, with intelligence able to be engineered across all levels of infrastructure and operations. The challenge? Balancing velocity with reliability ... Here are three key changes we'll see across AI, automation, and infrastructure in 2025, with particular emphasis on multi-instance management as a critical enabling technology for organizations looking to operate at scale over the coming year ...

There are no signs of AI's massive growth and adoption slowing down anytime soon ... But none of this AI-driven innovation is possible without application programming interfaces (APIs). APIs have exploded in recent years and are consequently difficult to manage at scale ...

Part 3 covers predictions about software quality and testing, as well as some challenges developers will face in 2025 ...