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 ...
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 ...
As leaders begin implementing biometrics, passkeys and AI threat detection, there are several core design principles they ...
International Accounting Bulletin on MSN
IRIS Software Group unveils AI-driven tax anomaly detection tool
The tax anomaly detection feature is now available at no extra cost in IRIS Elements and IRIS Accountancy Suite for UK ...
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.
Unlike pattern-matching, which is about spotting connections and relationships, when we detect anomalies we are seeing disconnections—things that do not fit together. Anomalies get much less attention ...
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