Cyberattackers integrate large language models (LLMs) into the malware, running prompts at runtime to evade detection and augment their code on demand.
A Russian-linked campaign delivers the StealC V2 information stealer malware through malicious Blender files uploaded to 3D model marketplaces like CGTrader.
ATA is powered by two groups of AI agents. The first ensemble is responsible for finding cybersecurity flaws. The other agent group, in turn, comes up with ways to mitigate the vulnerabilities ...
SharePains by Pieter Veenstra on MSN

Automated Testing Power Apps - Controls and More

A while back I wrote an introduction post about automated testing Power Apps using Power Automate Desktop. Today, I'm going ...
Passwork 7 unifies enterprise password and secrets management in a self-hosted platform. Organizations can automate credential workflows and test the full system with a free trial and up to 50% Black ...
Andrej Karpathy’s weekend “vibe code” LLM Council project shows how a simple multi‑model AI hack can become a blueprint for ...
However, the improved guardrails created new difficulties for anyone attempting malicious use, as the model no longer refused ...
The rise of AI has created more demand for IT skills to support the emerging tech’s implementation in organizations across ...
The AI landscape in 2025 is dominated by cutting-edge Large Language Models (LLMs) designed to revolutionize industries.
Google has added support for the Go language to its Agent Development Kit (ADK), enabling Go developers to build and manage ...
Apparently, there are a couple of LLMs which are gaining traction with cybercriminals. That's led researchers at Palo Alto ...