Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

As software systems grow more complex, managing the development process becomes mandatory. The Software Development Life Cycle provides a structured standard that helps teams build, test, and maintain reliable applications.

In 2026, software development speed is an AI-solved problem. Yet, as AI-generated code volumes surge, organizations face a new kind of risk visibility gap. Developers are increasingly copying third-party snippets into their codebases—from both AI prompts and open-source software components—creating large security and compliance blind spots that lead to significant risks.

When SOAR emerged around 2015, it was trying to solve a real problem: SOC analysts were drowning in manual, repetitive tasks across disconnected tools. SOAR promised to connect those tools, automate the workflows between them, and give analysts their time back. For a while, it mostly delivered. That era is long dead.

The KhangNghiem/fast-draft extension, listed on open-vsx.org/extension/KhangNghiem/fast-draft and now sitting above 26,000 downloads, had multiple malicious releases that execute a GitHub-hosted downloader and pull a second-stage RAT and infostealer from the BlokTrooper/extension repository. The confirmed malicious releases in the version line we inspected are 0.10.89, 0.10.105, 0.10.106, and 0.10.112.

Attending Mobile World Congress (MWC) 2026 in Barcelona was once again an incredible experience. Each year the event seems to evolve, and 2026 showcased just how quickly the telecom and cloud infrastructure landscape is changing. The show floor was packed, the conversations were engaging, and the innovations on display reinforced the pace at which our industry is moving.

Many IT professionals struggle to integrate artificial intelligence (AI) into their existing environments. You often find expensive hardware trapped in isolated clusters or dedicated hosts. Your infrastructure team manages access through manual ticket queues, which leads to low utilization and frustrating bottlenecks for developers. When you don’t have a standardized way to share and monitor accelerator resources, every hardware change risks downtime for your critical applications.