As your SOC monitors for network intrusions and your AppSec team secures code repositories, a new capability is required to secure the AI tools your employees use daily, before threats emerge ... As security teams grapple with how to adopt AI responsibly, prompt engineering is emerging as a strategic capability that enables teams to build enterprise-grade security into AI systems from the ground up while scaling protection efforts without proportional resource increases ...

Automation has firmly established itself as a cornerstone for DevOps teams, recognized for its power to accelerate software delivery, ensure quality, and promote collaboration. Yet, despite this widespread understanding and high expectations, the latest Software Testing and Quality Report reveals a notable gap: the full potential of automation often remains unrealized ...

Kubernetes is designed for flexibility, not simplicity. Enterprises now routinely run multiple Kubernetes distributions — EKS for one team, OpenShift for another, and GKE for a third. These are typically adopted organically, often bottom-up by individual teams. The result is tooling sprawl, operational inconsistency, and a growing burden on platform teams responsible for ensuring stability, performance, and security. Here, we'll explore the three top challenges for secure networking in Kubernetes ...

Mobile apps are everywhere. They handle payments, authentication, messaging, and health data — often all in the same session. But most organizations still approach mobile security like it's an extension of the web. It's not. Attacks on mobile apps jumped 80% last year ...

Thirty years ago, Sun Microsystems released Java to the world. In technology years, that makes Java ancient — older than Google, Facebook, and the iPhone combined. While countless Java "Killers" have come and gone, Java has done more than just survive the relentless pace of technological change; it has thrived by consistently solving the operational challenges that define modern DevOps ...

In the fast-evolving landscape of software development, 2025 marks a turning point: artificial intelligence is no longer just a tool — it's a central strategy. According to new findings from the 2025 Reveal Software Development Challenges Survey part two, a remarkable 73% of technology leaders now cite expanding AI use as their top priority ...

Behind every piece of software that lands in the hands of a customer is a story of chaotic collaboration, shifting priorities, and heroic project rescue missions. And the thing holding it together? It's not just process or tooling. It's strategy ...