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Secure data warehousing in ERP environments: An AI-based multimodal threat detection framework

In an era where data has become one of the most valuable assets for organizations, protecting that data is a strategic ...
Semiconductor Engineering

A Framework To Detect Capacitance-Based Analog Hardware Trojans And Mitigate The Effects

A technical paper titled “DeMiST: Detection and Mitigation of Stealthy Analog Hardware Trojans” was published by researchers at Tennessee Tech University and Technische Universitat Wien. “The global ...
MarketWatch

New AI-Detection Engineering Assistant from Cymulate Automates SIEM Rule Validation for SecOps and Blue Teams

NEW YORK & TEL AVIV, Israel--(BUSINESS WIRE)--June 09, 2025-- Cymulate, the leader in threat exposure validation, today announced the release of its powerful new AI-powered detection engineering ...
Morningstar

Detection Engineering Goes Mainstream: 80% of Surveyed Organizations Actively Investing

PALO ALTO, CA / ACCESS Newswire / February 19, 2025 / Anvilogic, the industry's first detection engineering platform that works across SIEMs and data lakes, today published the 2025 State of Detection ...
Devdiscourse

Big data fraud detection faces a reckoning over AI transparency

Traditional rule-based systems, once sufficient for detecting simple patterns of fraud, have been overwhelmed by the scale, ...
CSOonline

Rising attack exposure, threat sophistication spur interest in detection engineering

What was once in the margins of cybersecurity, detection engineering has been gaining space and interest, here is what you need to know. Detection engineering, which was once a niche practice among ...
Dark Reading

Most Enterprise SIEMs Blind to MITRE ATT&CK Tactics

Despite enterprises' best efforts to shore up their security information and event management (SIEM) postures, most platform implementations have massive gaps in coverage, including missing more than ...
Devdiscourse

Financial institutions turn to adaptive AI to close fraud detection gaps

Fraud detection is defined by a structural imbalance that has long challenged data-driven systems. Fraudulent transactions typically account for a fraction of a percent of total transaction volume, ...