Explore strategies for managing combinatorial explosion in high dimensional anomaly detection to enhance data observability ...

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, ...

Researchers from Politecnico di Milano propose a data-driven water leak detection method that treats leaks as anomalies in ...

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 ...

Researchers in Slovakia have demonstrated a machine-learning framework that predicts PV inverter output and detects anomalies using only electrical and temporal data, achieving 100% accuracy in ...

Discover how AI-driven anomaly detection safeguards post-quantum context streams in Model Context Protocol (MCP) environments, ensuring robust security for AI infrastructure against future threats.

DTEX, the trusted leader in insider risk management, announced today its integration with Amazon Web Services (AWS) Security Hub. The integration with DTEX’s user and entity behavioral analytics (UEBA ...

As leaders begin implementing biometrics, passkeys and AI threat detection, there are several core design principles they ...

The tax anomaly detection feature is now available at no extra cost in IRIS Elements and IRIS Accountancy Suite for UK ...