(physical meetup)Privacy Threat Modeling: An Introduction to PLOT4ai and LINDDUN
Details
During this hybride meetup session we would like to introduce you to PLOT4ai and LINDDUN GO.
Note: this event is for the physical meetup; if you want to attend online, please subscribe for the online version.
LINDDUN GO is a privacy threat modeling approach that supports analysts to systematically elicit and mitigate privacy threats in software architectures. (www.linddun.org).
Kim Wuyts will introduce us to LINDDUN GO during this session.
PLOT4ai stands for Privacy Library Of Threats 4 Artificial Intelligence and It's a threat modeling library inspired by LINDDUN GO that can help you build responsible AI. (www.plot4.ai)
Isabel Barberá will introduce us to PLOT4ai during this session.
About the speakers:
Kim Wuyts is a postdoctoral researcher at the imec-DistriNet research group at KU Leuven in Belgium. She has more than 10 years of experience in security and privacy in software engineering. Her research primarily focuses in the domain of privacy threat modeling. Kim is one of the driving forces behind the development and extension of LINDDUN, a privacy threat modeling framework. She is also a co-author of the Threat Modeling Manifesto.
Isabel Barberá is privacy engineer and security specialist. With almost 20 years experience in IT and software development, she has spent the last 7 years assisting organisations from the public and private sector in developing and implementing comprehensive data privacy and security programs with a special focus on privacy and data protection by design. Isabel is the creator of PLOT4ai.
Program:
18:00 - 19:00 Walk-in / welcome with food & drinks
19:00 - 19:15 Introduction
19:15 - 19:45 LINDDUN + Q&A
19:45 - 20:00 Break
20:00 - 21:00 PLOT4ai + Q&A
21:00 - 22:00 Drinks
Important: This is a hybrid event. There is only a small amount of places available for this physical event, so please only register if you are sure you will be coming, otherwise register to the online event: https://www.meetup.com/privacy-engineering-group/events/285662238/