An AI-powered penetration testing tool is automating offensive cybersecurity, accelerating vulnerability discovery and ...

Abstract: Network intrusion detection systems (NIDS) utilize signature and anomaly-based methods to detect malicious activities within networks. Advances in machine learning (ML) and deep learning (DL ...

Guwahati: Close on the heels of the tragic death of eight elephants hit by a Rajdhani Express in Assam last Saturday, the ...

That’s the aim of predictive cyber resilience (PCR)—an emerging approach to security built on intelligence, automation and ...

The NDR market is expanding due to increased cloud, remote work, and IoT adoption, creating complex attack surfaces. Opportunities include AI-driven anomaly detection, integration with EDR, XDR, SIEM, ...

The "Network Detection and Response (NDR) Market, 2024-2029" report has been added to ResearchAndMarkets.com's offering. The revenue estimate for 2024 is $2.61 billion, with a CAGR of 23.1% for the ...

What signs help homeowners uncover basement moisture problems before they begin a remodeling project? According to a ...

Abstract: An intrusion detection system (IDS) plays a crucial role in network security by distinguishing hostile activities from network traffic. Conventional hardware-based IDS architectures have ...

Incident response is a slave to time. From time-to-detection through time-to-containment, time is the crucial factor when responding to any threat.

The gunshot-detection system Dallas bought last fall has so far fallen short of expectations, a police official said, in part because it can cover only a small slice of the city. Maj. Yancey Nelson ...

Storage systems must maintain integrity even after rare and difficult-to-test-for conditions like power losses and media errors. Formal verification presents a promising avenue to ensure storage ...