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 ...

Opportunities, Architecture, and Challenges: A Systematic Review,” published in Account Audit, the authors argue that AI is expanding audit coverage and improving anomaly detection, while also ...

What is explainable AI (XAI)? What are some of the use cases for XAI? What are the technology requirements for implementing XAI? Anomaly detection is the process of identifying when something deviates ...

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 ...

The US Army Analytics Group (AAG) provides analytical services for various organizational operations and functions, including cybersecurity. AAG signed a Cooperative Research and Development Agreement ...

Researchers used large language models to efficiently detect anomalies in time-series data, without the need for costly and cumbersome training steps. This method could someday help alert technicians ...

Rising cybersecurity threats, expanding digital footprints, and increasing reliance on AI-powered analytics are driving robust demand across the anomaly detection market, as enterprises prioritize ...

Generated continuously by the NetQuest Streaming Network Sensor (SNS) platform, NetworkLens delivers structured, high-value network intelligence across application activity, routing behavior, ...