In some ways, data and its quality can seem strange to people used to assessing the quality of software. There’s often no observable behaviour to check and little in the way of structure to help you ...

Discover the top 10 AI red teaming tools of 2026 and learn how they help safeguard your AI systems from vulnerabilities.

Alibaba unveils RynnBrain, an open-source embodied AI model designed to power robots and compete with leading US robotics AI platforms.

Google and Microsoft's new WebMCP standard lets websites expose callable tools to AI agents through the browser — replacing ...

Many teams are approaching agentic AI with a mixture of interest and unease. Senior leaders see clear potential for efficiency and scale. Builders see an opportunity to remove friction from repetitive ...

AMD requires a Senior AI/ML and GPU Performance QA Engineer who will manage validation and performance testing for machine ...

Anthropic’s Claude Opus 4.6 arrives in Microsoft Foundry and GitHub Copilot, bringing advanced reasoning, agentic coding, and ...

AI-powered penetration testing is an advanced approach to security testing that uses artificial intelligence, machine learning, and autonomous agents to simulate real-world cyberattacks, identify ...

On SWE-Bench Verified, the model achieved a score of 70.6%. This performance is notably competitive when placed alongside significantly larger models; it outpaces DeepSeek-V3.2, which scores 70.2%, ...

Gemini’s Agentic Vision adds a think, act, observe loop and Python tools, helping teams audit images faster and cut counting errors.

Crowdsourced bug bounties and pen-testing firms see AI agents stealing low-hanging vulns from their human counterparts, but oversight remains key.