The Impact of AI on Cyber Threat Detection

Cyber attacks are growing smarter and faster. Hackers use advanced techniques to target businesses of all sizes. Traditional defenses often struggle to keep up, leaving networks and data at risk. […] ...
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 ...
eWeek

5 Steps to Leveraging Machine Learning: The Shopify Use Case

Dr. Ella Hilal, head of data science at Shopify, showcased how the e-commerce giant applies machine learning for anomaly detection and forecasting. Written by eWEEK content and product recommendations ...
Business Wire

Saryu Nayyar Wins Cyber Security Entrepreneur of the Year at the 2022 Cyber Security Awards and Bronze at the 2022 Stevie® Awards for Women in Business

LOS ANGELES, Calif.--(BUSINESS WIRE)--Today, Gurucul, a leading and innovative provider of security solutions for accelerating Threat Detection, Investigation, and Response (TDIR), announced that ...
EurekAlert!

Machine learning could help reveal undiscovered particles within data from the Large Hadron Collider

Scientists used a neural network, a type of brain-inspired machine learning algorithm, to sift through large volumes of particle collision data. For over two decades, the ATLAS particle detector has ...