Category Archives: Uncategorized

Messaging fraud trends point to smarter attacks, stronger blocking

Fraudsters spent 2025 investing in scale. New routes, new tools, and higher message volumes moved through the SMS, voice, and chat channels that businesses rely on to reach customers. Money follows that activity. The Communications Fraud Control Association puts global telecom fraud losses at around 42 billion dollars for the year, several billion higher than its estimate for the prior year. Blocked volumes rose alongside the threat. Infobip, a communications platform that handles billions of … More → The post Messaging fraud trends point to smarter attacks, stronger blocking appeared first on Help Net Security.
http://news.poseidon-us.com/TTQgKc

A single malware file can outweigh an entire AI dataset

Antivirus vendors and security startups keep shipping AI features that promise to read malware the way a seasoned analyst would. The results inside security teams tell a quieter story. A new paper argues that static analysis of software, the job of deciding whether a program is malicious by examining its contents on disk, remains one of the hardest places to make generative AI work. The scale of the problem explains much of the difficulty. Standard … More → The post A single malware file can outweigh an entire AI dataset appeared first on Help Net Security.
http://news.poseidon-us.com/TTQgKK

Harvard scientists turn a silicon chip into a DNA writing machine

Scientists have created a silicon chip that can write dozens of DNA sequences simultaneously using electricity and water-based enzymes, offering a cleaner alternative to conventional DNA manufacturing. The breakthrough could eventually support portable DNA-writing devices and even massive DNA data storage, although new chemistry will be needed to scale the technology further.
http://news.poseidon-us.com/TTQdxG

Scientists used AI to crack one of water’s biggest mysteries

Water’s odd behavior becomes even more dramatic when it is supercooled, but scientists have struggled to compare the many different ways of describing its microscopic structure. Researchers at the University of Osaka used an AI model trained on computer simulations to evaluate 16 different structural descriptors. The system identified the most effective ways to distinguish between water’s two competing liquid states, providing a clearer framework for studying one of nature’s most mysterious substances.
http://news.poseidon-us.com/TTQb7r