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

Companies need greater network segmentation, sandboxes, firewalls, and anomaly detection to fight attackers, according to Cisco's 2024 Cybersecurity Readiness Index. Security readiness among ...

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.

Fidelis Network is an NDR security solution which offers full and deep internal visibility across all ports and protocols, with network traffic analysis and network behavior anomaly detection, which ...

The convergence of network optimization and security management isn’t an entirely new thing, but this week Lancope will introduce its new approach to bringing network routing data into its network ...

While intrusion-detection technologies are clearly not a hot new thing anymore, they are still the subject of active industry debate. Since the infamous “IDS Is Dead” piece was published by Gartner ...

Network infrastructures that can be relied upon 24/7 are the backbone of any modern digital enterprise, business continuity, user experience or cybersecurity strategy. However, network management has ...

Internet of Things (IoT) devices have become extremely popular in homes and workplaces. However, their abundant and rising usage also makes these products tempting targets for cybercriminals. Anomaly ...

Although the number and intensity of distributed denial-of-service attacks are on the rise, users are hard-pressed to find tangible new services to help thwart or defend against such assaults. However ...

Data observability vendor Acceldata Inc. today announced Adaptive AI Anomaly Detection capabilities in its xLake Reasoning Engine that automatically identify hidden, multidimensional data anomalies ...