AI is collapsing the security boundaries between code, pipeline, and runtime. These startups are racing to fill the gaps.

The promise of AI-driven test generation is real but so is the gap between what it looks like and what it delivers.

Discover how to safely use automated tools, verify accuracy, manage risks, and review the best platforms in 2026!

Today Microsoft is announcing a major step forward in AI-powered cyber defense: a new multi-model agentic scanning harness ...

The landscape of retail trading has shifted more in the last three years than in the previous thirty. AI-driven systems now ...

Second, AI dramatically increases the cost of failure. A network outage in a legacy environment might disrupt email or internal applications. In an AI-driven enterprise, it can halt real-time decision ...

The next wave of AI in software development goes beyond better code generation: agents are starting to take accountability throughout planning, design, build, test, release and operations. In the ...

Today, OpenAI announced what it calls content provenance signals across its image ecosystem. In other words, it's tagging its ...

Candidates can fake skills, but not judgment — yet most companies still test the wrong thing and wonder why talent fails.

Harvey's CEO says as AI agents take on more work, firms might put fewer lawyers on each case. That doesn't mean there will be ...

Apple’s recent crackdown on the MyFitnessPal-owned Cal AI food-logging app demonstrates that the tech giant is still enforcing its strict App Store rules around the use of external payments. The ...

AI systems are getting easier to build, but harder to understand. As outputs become less predictable and workflows more ...