Data Governance: Managing Data as an Enterprise Asset Systematically
Data Governance: framework, roles (Data Owner, Steward, Custodian), classification, data catalog, lineage and quality.
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) and doctoral candidate at the Promotionskolleg NRW (Hochschule Rhein-Waal), researching phishing awareness, behavioral security and nudging in IT security. Responsible for building and maintaining ISMS, leads internal audits to ISO/IEC 27001:2022 and advises as an external information security officer (ISB) in KRITIS sectors. Lecturer for Communication Security at Hochschule Rhein-Waal and NIS2 training lead at 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)
