Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

A growing disconnect between rapid AI adoption and security readiness has been revealed by 2026 Cloud Security Report: Enter the AI Era, a new report from Check Point. The report reveals a critical shift from the cloud "blind spots" of 2025 to a deeper challenge in 2026: organizations are no longer just struggling with visibility, but with governance, control, and real-time enforcement ...

Until AI-powered engineering tools have live visibility of how code behaves at runtime, they cannot be trusted to autonomously ensure reliable systems, according to the State of AI-Powered Engineering Report 2026 report from Lightrun. The report reveals that a major volume of manual work is required when AI-generated code is deployed: 43% of AI-generated code requires manual debugging in production, even after passing QA or staging tests. Furthermore, an average of three manual redeploy cycles are required to verify a single AI-suggested code fix in production ...

Application security leaders don’t lack training options — they lack proof. Proof that secure coding education actually changes developer behavior. Proof that hands-on practice reduces exploitable flaws. Proof that training investment translates into measurable risk reduction. A recent large-scale analysis of more than 1,100 application security cyber range events and over 600,000 completed challenges offers a clearer picture of how AppSec skills develop in practice — and where organizations still struggle ...

The gap is widening between how fast organizations build software and how fast they can secure it, according to 2026 State of Software Security Report from Veracode. The report found 82% of organizations now harbor security debt — an 11% increase from the prior year — and that 60% of those organizations have security debt defined as "critical," representing accumulated vulnerabilities severe enough to cause catastrophic damage to an organization if exploited ...

AI has become central to modern testing, but practical gaps are slowing adoption, according to State of AI in Software Testing 2026 from BrowserStack ... the findings point to a widening gap between AI adoption and operational maturity. While most teams embraced AI, many remain constrained by fragmented workflows and uneven integration, limiting scalability and business impact ...

While AI is rapidly reshaping roles in DevOps, most enterprises struggle with governance, according to new research from Enterprise Management Associates (EMA) and DEVOPSdigest. 62% of the IT leaders surveyed cited security and privacy risks as their top concerns, according to the report AI in DevOps: Adoption Outpaces Governance and Changes the Role of the Developer ...

The following is an excerpt from The Stack: How Layers of Software Built the Modern World - Chapter 8: Operating Systems and the Miracle of Standardization, by Philip Truscott and Michael F. Korns ...

DEVOPSdigest's Prediction Series continues with 2026 DevSecOps Predictions — Industry experts offer predictions on how DevSecOps will evolve and impact the industry in 2026. Part 4 covers DevSecOps solutions and strategies ...