A lack of guardrails in internal processes and the technology itself is making governments more vulnerable, a cybersecurity expert says.
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Generative AI may cut costs in machine-learning systems, but it increases risks of cyberattacks and data leaks
Using generative AI to design, train, or perform steps within a machine-learning system is risky, argues computer scientist Micheal Lones in a paper appearing in Patterns. Though large language models ...
Microsoft Threat Intelligence says cybercriminals are using AI across nearly every stage of a cyberattack to move faster and ...
AI-driven cyber threats, including deepfakes and autonomous exploits, have already caused hundreds of millions in crypto losses in 2026, prompting warnings from security experts. At the same time, ...
The Election Security Exchange recommends several low-cost steps election officials can take, many of which they are already ...
Discover how AI accelerates cyberattacks and why firms need to improve their patching strategies to mitigate escalating risks ...
As technology grows in power, cybercrime becomes a bigger and costlier problem — especially as agentic AI becomes more and ...
Federal officials warn banks about AI-driven cyberattacks, as AI tools make attacks more sophisticated and harder to stop.
Microsoft, Amazon, Apple, CrowdStrike, Palo Alto Networks and others will use the model as part of a new cybersecurity initiative called Project Glasswing.
S. Korea's intelligence agency has warned that AI capable of independently carrying out cyberattacks is emerging as a ...
This is a guest post by Rahul Powar, cofounder and CEO of cybersecurity platform Red Sift. Previously, he was the founding architect of Shazam’s iPhone app and the former head of advanced products and ...
Bad actors have begun using AI to build out fake LinkedIn profiles, build organization charts and make connections. They’re using these profiles to get hired at companies that then send them laptops ...
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