As digital technologies evolve and data-driven systems become more embedded in everyday life, protecting personal information has become a pressing challenge. Privacy threat modeling provides a structured, proactive approach to identify and address potential risks early in the software design process—before they compromise users or violate regulations.
This event explores privacy threat modeling in practice, highlighting innovative methods and real-world applications that help organizations embed privacy-by-design. Participants will gain practical insights to anticipate data misuse or exposure, strengthen safeguards, ensure regulatory compliance, and build user trust from the ground up.
AGENDA:
12:30 – 13:15 - Welcome & Sandwich Lunch
13:15 – 13:30 - EPRIOS Project Overview (*)
13:30 – 14:15 - Privacy Threat Modeling: Alternatives Explored
14:15 – 14:30 - Coffee Break
14:30 – 16:00 - Hands-On Session: Applying Privacy Threat Modeling Techniques
16:00 - Wrap-Up & Closing Remarks
(*) The EPRIOS project (VLAIO COOCK+) aims to enhance targeted and effective management of privacy risks to enable data-driven innovation without compromising individual privacy rights across domains such as finance/CRM, AI/ML, and legal through tailored use cases.
PRACTICAL:
Time: Friday September 19th, 12:30-16:00
Location: JAVA meeting room, Building A, 5the floor, Computer Science KU Leuven
Department of Computer Science, KU Leuven Arenbergcampus III, Celestijnenlaan 200A, Heverlee
Parking Kapeldreef: access code 22301# (use code for entry + exit)
Directions — Department of Computer Science
