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 ...

Artificial Immune Systems (AIS) and anomaly detection algorithms are computational methods inspired by the adaptive and self-regulating properties of the biological immune system. By emulating the ...

Traditional security measures like firewalls and antivirus software are no longer sufficient to protect organizations from ...

Explore how AI-driven anomaly detection enhances the security of Model Context Protocol (MCP) deployments, protecting AI infrastructure from evolving threats with real-time insights.

TNO’s advanced detection, threat management, and orchestration expertise ensures that critical IT and OT have sufficient ...

Anomaly detection can be powerful in spotting cyber incidents, but experts say CISOs should balance traditional signature-based detection with more bespoke methods that can identify malicious activity ...

On behalf of U.S Customs and Border Protection (CBP) Non-Intrusive Inspection (NII) Division, this Special Notice is to inform vendors of a Virtual Industry Day that CBP will be hosting on January ...

A U.S. Customs and Border Protection officer with the Office of Field Operations adjusts traffic cones as vehicles line up for Non-Intrusive Inspections in a secure area near State Farm Stadium in ...

Kinil Doshi is a Senior VP at Citibank and a fintech expert in banking compliance and risk management with two decades of experience. In this article, I want to explore AI applications in fraud ...