clustering▌

Correlates disparate security incidents, IOCs, and adversary behaviors across time and organizations to identify unified threat campaigns, attribute them to common threat actors, and extract shared indicators for improved detection. Use when multiple incidents exhibit overlapping indicators, when sector-wide attack campaigns require cross-organizational analysis, or when building campaign-level intelligence products. Activates for requests involving campaign analysis, incident clustering, cross-organizational IOC correlation, or MISP correlation engine.

Apply bottom-up and top-down role mining techniques to discover optimal RBAC roles from existing user-permission assignments, reducing role explosion and enforcing least privilege.

Aeon is a scikit-learn compatible Python toolkit for time series machine learning, providing algorithms for classification, regression, clustering, and more.

Clustering partitions data into groups of similar observations without pre-defined labels, enabling discovery of natural patterns and structures in data.

Answers: "Who controls this wallet? Are these wallets related?"