Skill UI

Detects anomalous authentication patterns by normalizing logs across Azure AD, Okta, and Windows AD, then applying UEBA analytics and ML baselines to highlight impossible travel, credential stuffing, brute-force, password spraying, and other compromised-account behaviors.

Set up UEBA in Elasticsearch/OpenSearch to model normal user and entity behavior, calculate anomaly and risk scores via peer comparisons, and surface prioritized insider threat alerts for SOC workflows.

Investigates insider threat indicators using SIEM analytics, DLP alerts, UEBA signals, and HR data correlation to spot data exfiltration, unauthorized access, or anomalous behavior during sensitive windows such as notice periods, enabling SOC teams to build investigation timelines and evidence-ready reports with proper authorization.

Performs UEBA leveraging SIEM baselines and Splunk analytics to spot compromised accounts, privilege abuse, impossible travel, and insider risks by comparing current activity against historical user norms for SOC operations.