Analyzes authentication and authorization events for failed-login clustering, privilege-escalation chains, credential-stuffing patterns, and MFA-bypass indicators.
Determines whether a security incident involves personal data, triggers regulatory breach-notification obligations (e.g. GDPR Art. 33/34), and what notification timelines apply.
Detects anomalous behavior by authenticated users that may indicate insider threats through behavioral analysis of access patterns, privileged actions, and data movement.
Identifies indicators of compromise, anomalous network/endpoint behavior, and active intrusion patterns from the provided data.
Audits architectural proposals and data schemas for GDPR/DSGVO Article 9 (Special Categories of Personal Data) violations.
Classifies proposed AI deployments into strict EU AI Act risk tiers.
Audits data processing systems, logging mechanisms, and user tracking implementations for compliance with EU GDPR / German DSGVO mandates.
Scans technology stacks and dependencies for viral open-source licensing contamination (Copyleft risks).