Team 7 Consulting Announces AIDA™, an Autonomous AI System for Monitoring, Securing, and Managing Modern Datacenters

AIDA™ brings autonomous AI to enterprise datacenters, enabling predictive monitoring, automated remediation, and ...

Market Manipulation Detection In Web3: Identifying Coordinated Trading Behavior Using AI Analytics

Know how Market Manipulation Detection in Web3 identifies coordinated trading behavior. Learn how AI analytics spot wash trading, MEV patterns, and liquidity exploitation.
GitHub

Open-Source Benchmark of Anomaly Detection (OSBAD)

⚠️ MAINTENANCE NOTICE We are currently performing major changes and maintenance to migrate our workflows from local compute to cloud computation. Some functionality may be unstable in the current ...
Devdiscourse

From zero-day attacks to quantum security: Here's how AI reshapes cyber defense

This challenge is examined in Application of AI in Cyberattack Detection: A Review, published in the journal Sensors, where researchers explore how artificial intelligence techniques, from ensemble ...
Scientific Research Publishing

Graph Neural Networks for Anomaly Detection in Cloud Infrastructure ()

Cloud infrastructure anomalies cause significant downtime and financial losses (estimated at $2.5 M/hour for major services). Traditional anomaly detection methods fail to capture complex dependencies ...
Frontiers

Anomaly Detection in Adolescent Physical Activity Patterns to Assess Health and Behavioral Risks

College of Computer Science and Technology, Shenyang University of Chemical Technology, Shenyang, China The final, formatted version of the article will be published soon. This study proposes a ...
IEEE

Short and Medium-Term Power Load Anomaly Detection Method Based on Convolutional Neural Network and EL-DCC

Abstract: Power load anomaly detection is critical to grid stability and security. With the increasing complexity of load patterns, it is difficult for traditional methods to meet the requirements of ...
SecurityWeek

PLoB: A Behavioral Fingerprinting Framework to Hunt for Malicious Logins

Splunk researchers developed a system to fingerprint post-logon behavior, using AI to find subtle signals of intrusion. We often hear about the results of research, but rarely about the process of ...