Explore the roles of the five core PARGOS V3.0 modules and key concepts used in privacy access-log management.
PARGOS is built around five core modules: Agent · Platform · Manager · RHM · Analyzer.
Agent generates access logs, Platform collects, stores and searches them, Manager and Analyzer support review and analysis, and RHM manages explanations, validation and evidence history.
Each module has a specialized role while connecting into one workflow: Generate → Collect & Store → Analyze → Explain → Review & Report.
Privacy Access-log Generation
Installed in the WAS environment of a personal-information processing system, Agent generates standardized access logs for privacy data-handler activity.
Big-data Collection, Storage & Search
Securely collects access logs from agents and integration sources, then stores and searches them on a scalable big-data foundation.
Governance, Review & Reporting
Manager helps privacy teams review and manage Platform access logs and analysis results through an operational dashboard.
Reason History Management
For events detected as anomalous, RHM requests business reasons from the privacy handler and manages responses, validation and history.
AI Anomaly Analysis
Analyzes accumulated access logs and behavioral context to identify anomalies beyond conventional rules and statistics.
Key concepts commonly used in PARGOS and personal-information access-log operations.
The ability to trace users, time, targets and actions so causes and responsibility can be investigated when an incident occurs.
A person who actually processes personal information under the direction and supervision of the personal-information controller, including employees and dispatched workers.
A record that makes it possible to identify the work performed when a privacy data handler accesses a personal-information processing system.
An individual who is identifiable from the processed information and to whom that information relates.
A work action performed in a personal-information processing system, such as viewing, registering, modifying, deleting or downloading personal information.
Personal-information processing behavior identified through rules, statistics or AI as differing from normal work patterns or requiring additional review.
A process in which a privacy data handler submits a business reason and supporting basis for an anomalous or review-target event and an administrator validates it.
The ability to trace causes and responsibility through records of users, time, targets and performed work related to personal-information processing.
The legacy website referenced older KISA materials. This redesign focuses on general product concepts rather than reproducing outdated legal wording. Legal definitions and compliance requirements should be verified against the current Personal Information Protection Act and applicable regulations before publication.
Explore the complete PARGOS V3.0 architecture and capabilities.
