Data Governance: Managing Data as an Enterprise Asset Systematically
Data governance is the organizational and technical framework for the secure, compliant, and value-adding management of corporate data. This article explains the data governance framework, roles (data owner, steward, custodian), data classification, data catalog, data quality, lineage, and compliance integration (GDPR, ISO 27001).
Summary: Data Loss Prevention (DLP) prevents the unauthorized leakage of sensitive data from the organization. DLP systems monitor data in three states: data at rest (storage), data in motion (network), and data in use (endpoints). Detection methods: Regex patterns (credit card numbers, IBAN, Social Security numbers), fingerprinting (document signatures), ML-based classification. Key solutions: Microsoft Purview DLP, Symantec DLP, Forcepoint. GDPR requirement for the protection of personal data.
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About the Author
Dipl.-Math. (WWU Münster) und Promovend am Promotionskolleg NRW (Hochschule Rhein-Waal) mit Forschungsschwerpunkt Phishing-Awareness, Behavioral Security und Nudging in der IT-Sicherheit. Verantwortet den Aufbau und die Pflege von ISMS, leitet interne Audits nach ISO/IEC 27001:2022 und berät als externer ISB in KRITIS-Branchen. Lehrbeauftragter für Communication Security an der Hochschule Rhein-Waal und NIS2-Schulungsleiter bei der isits AG.
3 Publikationen
- Different Seas, Different Phishes - Large-Scale Analysis of Phishing Simulations Across Different Industries (2025)
- Self-promotion with a Chance of Warnings: Exploring Cybersecurity Communication Among Government Institutions on LinkedIn (2024)
- Exploring the Effects of Cybersecurity Awareness and Decision-Making Under Risk (2024)
