Why Is ML-Driven Anomaly Detection Important for Preventing Malicious Signature Requests?

Know why ML-driven anomaly detection is crucial for preventing malicious signature requests. Learn how machine learning identifies zero-day threats and secures crypto wallets.
Visual Studio Magazine

Anomaly Detection Using K-Means Clustering with JavaScript

Dr. James McCaffrey presents a complete end-to-end demonstration of anomaly detection using k-means data clustering, ...
Visual Studio Magazine

Data Anomaly Detection Using LightGBM

Dr. James McCaffrey from Microsoft Research presents a complete program that uses the Python language LightGBM system to create a custom autoencoder for data anomaly detection. You can easily adapt ...
Electronics Weekly

Innatera and 42T hook up for anomaly detection and condition monitoring

Innatera, the Dutch specialist in neuromorphic processors for ultra-low-power intelligence at the sensor edge, and 42 Technology (42T), a UK-based product development and manufacturing innovation ...
Devdiscourse

Fog computing can transform remote patient care with real-time AI detection

Security remains a dominant challenge in remote health monitoring. Medical data is deeply sensitive, and breaches can expose patients to identity theft, insurance exploitation or targeted cyberattacks ...
TMCnet

ARTERY Announces AT32 Edge AI Sensor EV Board for Multi-Sensor Gesture, Motion, and Anomaly Detection

Leveraging the high performance, low-power design, and rich peripherals of AT32 MCUs—combined with the Edge Impulse platform— ...
Computer Weekly

Detect ransomware in storage to act before it spreads

Ransomware attacks have become ever more sophisticated. Attackers no longer just encrypt data – they threaten to expose sensitive data, though double extortion and triple extortion attacks. And ...