Five signs data drift is already undermining your security models

Security professionals can recognize the presence of drift (or its potential) in several ways. Accuracy, precision, and ...
Dark Reading

Your Next Breach Will Look Like Business as Usual

These are the fundamental detection model shifts cybersecurity teams need to make to keep up with the rising number of ...
IEEE

A DeepSHAP-Based Adversarial Attack on Machine Learning-Based Network Intrusion Detection

Abstract: We propose an adversarial attack for machine-learning-based network intrusion detection systems that selectively alters only the most influential features. Unlike conventional attacks such ...
CSO Online

The noisy tenants: Engineering fairness in multi-tenant SIEM solutions

Cloud SIEMs are great until a "noisy neighbor" hogs all the resources. You need a vendor that actually engineers fairness so ...
IEEE

AI-Based Medical Diagnosis System Using Machine Learning

Abstract: This work focuses on the development of an AI-driven medical diagnosis system that leverages machine learning algorithms to predict the likelihood of multiple diseases based on user-provided ...