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Companies that recognize current market opportunities — from the need to safely implement revolutionary technology like AI to the vast proliferation of cyber threats — have remarkable growth prospects.

Another day, another hack at T-Mobile! This time, Chinese state-sponsored group Salt Typhoon hacked T-Mobile, targeting US telecoms…

The voluntary recommendations from the Department of Homeland Security cover how artificial intelligence should be used in the power grid, water system, air travel network, healthcare, and other pieces of critical infrastructure.

Now that large language models (LLMs) and LLM systems are flourishing, it’s important to reflect upon their security, the risks affecting them and the security controls to reduce these risks to acceptable levels.First of all, let’s differentiate between LLMs and LLM systems. This difference is key when analyzing the risks and the countermeasures that need to be applied. An LLM is an algorithm designed to analyze data, identify patterns and make predictions based on that data. A LLM system is a piece of software composed of artificial intelligence (AI) components, which includes a LLM along

Plus: An “AI granny” is wasting scammers’ time, a lawsuit goes after spyware-maker NSO Group’s executives, and North Korea–linked hackers take a crack at macOS malware.

A new report from the Open Software Supply Chain Attack Reference (OSC&R) team provides a framework to reduce how much vulnerable software reaches production.