Cyberattackers integrate large language models (LLMs) into the malware, running prompts at runtime to evade detection and augment their code on demand.

Is it reasonable to develop and deploy AI agents without a continuous testing strategy? Consider these test-driven approaches ...

So, bottom line, if OpenAI can substantially reduce the cost of API calls and still deliver AI value, as it seems to have done with GPT-5.1, there's a much better chance it can make the case for ...

APIs are about to think for themselves, shifting integration from rigid rules to smart, adaptive systems that learn what your ...

Google has identified early signs of malware that can rewrite its own code using AI, a mutation-driven threat that could ...

ZDNET sat down with Andrew Ng at AI Dev 25 in New York to talk about developer futures, responsible AI, and why AGI is overhyped.

Researcher shows how agentic AI is vulnerable to hijacking to subvert an agent's goals and how agent interaction can be altered to compromise networks.

Soon AI agents will be writing better, cleaner code than any mere human can, just like compilers can write better assembly.

Tools like PROMPTFLUX “dynamically generate malicious scripts, obfuscate their own code to evade detection, and leverage AI models to create malicious functions on demand, rather than hard-coding them ...

With the launch of DocSearch, Ask AI, SiteSearch, Agentic Components UI Kit, the Algolia MCP Server, and Agent Studio, Algolia is providing developers with the building blocks to create truly ...

AI is everywhere right now – it's optimizing our work, creating art, writing code, pitching ideas, and even acting as a ...

ICIJ's trailblazing blockchain analysis has uncovered how cryptocurrency giants Binance and OKX are key conduits of illicit ...