As AI deployments scale and start to include packs of agents autonomously working in concert, organizations face a naturally amplified attack surface.

Anthropic’s Claude Opus 4.6 identified 500+ unknown high-severity flaws in open-source projects, advancing AI-driven vulnerability detection.

Some cybersecurity researchers say it’s too early to worry about AI-orchestrated cyberattacks. Others say it could already be happening.

Discover Claude Opus 4.6 from Anthropic. We analyze the new agentic capabilities, the 1M token context window, and how it outperforms GPT-5.2 while addressing critical trade-offs in cost and latency.

AI agents are powerful, but without a strong control plane and hard guardrails, they’re just one bad decision away from chaos.

New AI-only social network lets AI agents talk to each other. Moltbook raises humorous and serious questions about privacy ...

The post OpenClaw Explained: The Good, The Bad, and The Ugly of AI’s Most Viral New Software appeared first on Android ...

How AI and agentic AI are reshaping malware and malicious attacks, driving faster, stealthier, and more targeted campaigns—and what defenders can do to prepare.

Do you know what LLM even is? How about a GPU? A new vocabulary has emerged with the rise of AI. From AGI to prompt engineering, new terms and concepts are being created seemingly every day. Use this ...

Nvidia researchers developed dynamic memory sparsification (DMS), a technique that compresses the KV cache in large language models by up to 8x while maintaining reasoning accuracy — and it can be ...

By replacing repeated fine‑tuning with a dual‑memory system, MemAlign reduces the cost and instability of training LLM judges ...