Nandita Rao Narla -- Privacy Threat Modeling Wins, Losses, and Tools

In this podcast episode, Nandita Rao Narla explores the reasons why privacy threat modeling programs often fail, such as being expensive with a lot of friction in the development lifecycle, misalignment with organizational strategies focused on compliance rather than risk, and difficulty demonstrating a clear return on investment. Nandita highlights some successful strategies, including leveraging existing security threat modeling resources, simplifying the approach for better adoption like Adam Shostack's four-question framework, aligning with organizational values and culture, and encouraging a mindset of considering what could go wrong. The role of tooling in privacy threat modeling is discussed, with most organizations currently not using many dedicated tools beyond data mapping and asset discovery, while larger companies with mature programs may utilize more advanced tooling. Ultimately, privacy threat modeling represents the next frontier, with a strong privacy program partnering with security threat modeling being the next generation approach.

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