Mythos autonomously exploited vulnerabilities that survived 27 years of human review. Security teams need a new detection playbook

Claude Mythos autonomously found zero-days in OpenBSD, FFmpeg, FreeBSD and major browsers that survived decades of expert ...
Tech Xplore

Using AI models to detect sinkhole trouble

Researchers at the University of Florida are developing artificial intelligence models to pinpoint early signs of sinkholes ...
Que.com on MSN

AI-powered cybersecurity: Transforming threat detection and defense

In today’s digital age, cyber threats are evolving faster than ever, forcing organizations to rethink traditional security measures. AI-powered cybersecurity ...
The New York Times

YouTube Adds Tool to Help Public Figures Report Fake Videos

Social media companies are under pressure to crack down on so-called deepfake videos that use deceptive images of real people. By Natallie Rocha Reporting from San Francisco YouTube is adding a ...
IEEE

Multi-Label Smart Contract Vulnerability Detection Using Graph Contrastive Learning with Multi-View Fusion

Abstract: With the increasing use of smart contracts, vulnerabilities have become a critical concern, making intelligent vulnerability detection increasingly essential. Deep learning offers a ...
Medical Xpress

Deep learning system could transform skin cancer detection with near-perfect accuracy

Melanoma remains one of the hardest skin cancers to diagnose because it often mimics harmless moles or lesions. While most artificial intelligence (AI) tools rely on dermoscopic images alone, they ...
SiliconANGLE

Harness acquires Qwiet AI to bring vulnerability detection into DevOps workflows

Harness Inc., a software delivery startup that provides artificial intelligence tools for developers to update and monitor applications as they go, today announced it acquired Qwiet AI, formerly known ...
IEEE

Survey on Vulnerability Detection in Web Environment Using Tools, Machine Learning, Deep Learning Techniques

Abstract: Increasing dependence on web applications has raised serious security concerns, especially in identifying weaknesses that can be exploited by attackers. Although powerful, traditional ...
C&EN

Single-Molecule SERS Detection of Phosphorylation in Serine and Tyrosine Using Deep Learning-Assisted Plasmonic Nanopore

Research Unit of Health Sciences and Technology, Faculty of Medicine, University of Oulu, Aapistie 5 A, 90220 Oulu, Finland Research Unit of Disease Networks, Faculty of Biochemistry and Molecular ...