TechCrunch

Financial firms should leverage machine learning to make anomaly detection easier

Anomaly detection is one of the more difficult and underserved operational areas in the asset-servicing sector of financial institutions. Broadly speaking, a true anomaly is one that deviates from the ...
Statetechmagazine

State and Local Agencies Can Identify Cyberthreats Through Anomaly Detection

Doug Bonderud is an award-winning writer capable of bridging the gap between complex and conversational across technology, innovation and the human condition. By defining a set of normal user and ...
Deccan Chronicle

AI Transforms Supply Chain Monitoring with Real-Time Anomaly Detection

Enterprises deploy machine learning within SAP and cloud pipelines to catch data errors instantly and boost efficiency ...
Security Boulevard

Cognitive Threat Analytics: How Seceon Enables Next-Gen SOC Defence

Introduction In the rapidly evolving cyber-threat landscape, traditional signature-based defences are no longer sufficient. Threat actors increasingly use stealth, lateral movement, encrypted channels ...
techtimes

Leveraging Machine Learning Algorithms to Combat Fraud in Supply Chain Operations

Abstract: Fraud in supply chain operations poses significant risks to businesses, including financial losses, operational inefficiencies, and erosion of stakeholder trust. With the increasing ...