AI and Machine Learning in Digital Wallets: From Fraud Detection to Personalized Finance

AI transforms digital wallets from transaction processors into intelligent systems. Instead of enforcing fixed rules, machine learning models evaluate context like user behavior, device ...
Bleeping Computer

When cloud logs fall short, the network tells the truth

Cloud migration was often promised with security that would “take care of itself.” In practice, dynamic infrastructure, overlapping APIs, container sprawl, and multi‑cloud architectures have created ...
IEEE

A Comprehensive Survey on Cognitive Cyber Security Analysis Using Machine Learning Approaches

Abstract: Cybersecurity threats have evolved in sophistication, necessitating the development of intelligent and adaptive defense mechanisms. Cognitive cybersecurity systems present the opportunity to ...
FedScoop

ICE drives AI use case growth within Homeland Security

ICE agents leave a residence after knocking on the door on Jan. 28, 2026 in Minneapolis, Minnesota. The U.S. Department of Homeland Security continues its immigration enforcement operations after two ...
Frontiers

Hybrid optimization of interpretable ensemble machine learning for petrophysical property prediction from well logs

Unconventional reservoirs, including shale gas, tight oil, and coalbed methane formations, have emerged as vital contributors to global energy security, accounting for a substantial portion of the ...
IEEE

VISION LOG: CCTV Footage Timestamp Analysis Using Machine Learning Algorithms

Abstract: With the increase in adoption of CCTV surveillance systems in both private and public spaces, the need for developing intelligent systems for automatic video analysis has augmented. This ...
Security

AI and Machine Learning in Security: Building Smarter, Integrated Systems for a Safer Future

From SOCs to smart cameras, AI-driven systems are transforming security from a reactive to a predictive approach. This evolution unites physical and cyber domains, improves situational awareness, and ...
GitHub

rskworld/security-log-analysis

Comprehensive Visualization: Generate visual reports, dashboards, and threat analysis charts Rich Sample Data: Enhanced sample data generation with realistic security log patterns ...
acm.org

Integrating Machine Learning into Physical Security Architecture

Recent advancements in the field of artificial intelligence (AI) have exposed many modern organizations to the benefits of intelligent automation. According to research published by McKinsey, almost ...
VentureBeat

Meet Aardvark, OpenAI’s security agent for code analysis and patching

An aardvark works in an office typing at a desktop PC while happy human workers mill about in the background. Credit: VentureBeat made with ChatGPT Positioned as a scalable defense tool for modern ...
National Academies of Sciences%2c Engineering%2c and Medicine

Making Machine Learning Safer in High-Stakes Settings

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...
Rochester Institute of Technology

RIT researchers use machine learning to better understand the pathways of disease

Cancer, Alzheimer’s, and other diseases follow a pathway in the human body. It starts at the molecular and cellular levels, and through a series of complex interactions can lead to the development and ...