Think of agentic testing as an autonomous verification layer that sits on top of your existing development workflow. It's not ...

Reimagine how developers approach tasks in an AI native workplace. Cortex 2.5 immensely expands its capabilities to ...

Endor Labs launches AURI, a free security platform that embeds directly into AI coding assistants like Cursor and Claude to ...

In a major shift in its hardware strategy, OpenAI launched GPT-5.3-Codex-Spark, its first production AI model deployed on ...

Agentic AI is changing the enterprise security model. Experts explain emerging risks, governance challenges and how leaders ...

Narrow “shift left” has failed at AI scale. Move from developer-led fixes to AppSec-managed automation that triages findings and delivers tested pull-request fixes so teams can safely manage ...

National CERT Pakistan warns that persistent application security vulnerabilities could expose organizations to cyberattacks, data breaches, and system compromise ...

In the AI developer boom, some of the most important battlegrounds are not glamorous models or splashy chatbots. They are the quiet pipes that keep modern coding tools fed and up to date.

Learn how to secure Model Context Protocol deployments with granular policy enforcement and quantum-resistant encryption. Protect ai infrastructure from tool poisoning.

In a conversation at Tech Show London, Ben Buckley at the Atlassian Williams F1 Team, explored artificial intelligence.

Artificial intelligence is often misunderstood as a machine that “thinks” like a human. In reality, AI identifies patterns ...