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

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 ...

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

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 ...

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.

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

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

ShadowRay 2.0 exploits an unpatched Ray flaw to spread cryptomining and DDoS malware across exposed GPU clusters.

David Morimanno, Field CTO North America at Xalient, explains why non human identities have become a growing security risk ...

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.

Managing shadow AI begins with getting clear on what’s allowed and what isn’t. Danny Fisher, chief technology officer at West ...