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 ...

Anomaly detection in images is rapidly emerging as a critical field in both industrial quality control and medical diagnostics. Leveraging deep learning techniques, researchers have developed methods ...

Woburn, MA – May 18, 2021 — Today Kaspersky announces that Kaspersky Machine Learning for Anomaly Detection (MLAD), designed to reveal deviations in production processes at the earliest stage, is now ...

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 ...

Pratyosh Desaraju secures German utility patents for AI systems that automate legacy system enhancement and detect ...

The most important challenge to the security of blockchains remains the protection of users from malicious signature requests as the adoption of cryptocurrencies goes on to gain even more momentum. A ...

Understanding how threat hunting differs from reactive security provides a deeper understanding of the role, while hinting at how it will evolve in the future.