Hackers planted a Raspberry Pi equipped with a 4G modem in the network of an unnamed bank in an attempt to siphon money out ...

Trader AI Inc. is a AI-driven cryptocurrency trading solutions. Founded in 2023 by a team of quantitative analysts, data scientists, and seasoned software engineers, Trader AI’s mission is to ...

Explore how security orchestration and automation (SOAR) enhances identity and access management (IAM) for robust ...

Early and accurate detection of network intrusions is crucial to ensure network security and stability. Existing network intrusion detection methods mainly use conventional machine learning or deep ...

BEIJING, June 4, 2025 /PRNewswire/ -- After nearly a year of research and evaluation, Gartner released the first "Magic Quadrant for Network Detection and Response" report on May 29, ThreatBook ...

Limitations of Legacy Intrusion Detection Systems Legacy intrusion detection systems (IDS) like Snort and Suricata are rule-based and require constant manual tuning. These systems often fail to ...

Transforming Network Security Operations AI’s integration into network security operations brings numerous benefits. Firstly, it accelerates detection and response times, cutting through data noise to ...

To address this challenge, this work presents a physics-informed graph convolutional recurrent network (PIGCRN) that incorporates both spatial and temporal information on chemical process networks and ...

Selecting the right Intrusion Detection System (IDS) is crucial for safeguarding your network against unauthorized access and potential security breaches. An IDS serves as a watchdog, monitoring ...

Network traffic behavior exhibits considerable variability and evolves over time, requiring periodic model updates. This paper proposes a new approach to intrusion detection modeling based on CNN and ...