Intrusion detection systems, long constrained by high false-positive rates and limited adaptability, are being re-engineered ...

In this special guest feature, Karthik Krishnan, Vice President of Product Management at Niara, discusses how machine learning is an option that’s gaining popularity to detect cyber attacks given its ...

Artificial intelligence and machine learning projects require a lot of complex data, which presents a unique cybersecurity risk. Security experts are not always included in the algorithm development ...

That challenge is examined in the study Towards Eco-Friendly Cybersecurity: Machine Learning-Based Anomaly Detection with ...

Long gone are the days of only discovering the existence of cyber threats and deciding what to name each of them. Cyberthreats grow—not only in complexity but in frequency, and one of the things that ...

The Lumma information-stealing malware is now using an interesting tactic to evade detection by security software - the measuring of mouse movements using trigonometry to determine if the malware is ...