Understanding how threat hunting differs from reactive security provides a deeper understanding of the role, while hinting at how it will evolve in the future.

Anomaly detection is the process of identifying events or patterns that differ from expected behavior. Anomaly detection can range from simple outlier detection to complex machine learning algorithms ...

Discover how to secure AI orchestration workflows using post-quantum cryptography and AI-driven anomaly detection for Model ...

Are you aware that your API gateway, a vital component of modern software architecture, is also one of the most vulnerable points in a network? Shockingly, a 2022 survey by Statista revealed that most ...

Anomaly detection in the context of data science is detecting a data sample that is out of the ordinary and does not fit into the general data pattern (or an outlier). This deviation can result from a ...

Prelert, a leading provider of machine learning anomaly detection, and Blue Coat Systems, Inc., a market leader in enterprise security, announced a partnership to integrate Prelert’s machine learning ...