Privacy threat modeling is a structured approach to identifying and assessing potential privacy risks associated with a particular system, application, or process. It involves analyzing how personal data flows through a system, identifying potential vulnerabilities or weaknesses, and evaluating the potential consequences of a privacy breach.
The goal of privacy threat modeling is to identify and prioritize potential privacy risks and to develop effective strategies for mitigating those risks. This process involves considering various aspects of the system or process being analyzed, including the data that is collected, how it is stored and processed, who has access to it, and how it is transmitted.
Privacy threat modeling can help organizations better understand their privacy risks and make more informed decisions about how to protect personal data. Implementing privacy measures and conducting regular privacy threat modeling can help organizations minimize the risk of a privacy breach and ultimately save them money in the long run.
Nandita Rao Narla, Head of Technical Privacy & Governance at DoorDash, joins the show to explain privacy threat modeling, the common misconceptions, and how to make a privacy threat model program successful.
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