However, the battle against malware is not one-sided. Malware authors are also developing techniques to evade detection, such as generating adversarial examples that can bypass machine learning ...

Project Ire promises to use LLMs to detect whether code is malicious or benign UPDATED Microsoft has rolled out an autonomous ...

A cybersecurity platform, under development for eight years at Sandia National Laboratories to detect and analyze advanced ...

Advanced malware detection employs a range of techniques to detect and analyse malware, including behavioural analysis, machine learning, signature-based detection, sandboxing, and more.

2. Intrusion detection: With the help of machine learning security teams can quickly detect anomalous behavior in network traffic and flag potential security breaches. 3. Fraud detection: Machine ...

Cybersecurity researchers at McAfee have identified a new wave of Android malware campaigns leveraging .NET MAUI, a cross-platform development framework, to evade detection and steal sensitive user ...

This Motorola Moto G Power 5G shows the midnight blue color option. Image: Amazon New Android malware is using Microsoft’s .NET MAUI to fly under the radar in a new cybersecurity dust-up this week.