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Privacy Engineering | Enhancing Technologies | Ft. Apoorvaa Deshpande | Ep. 80 | Podcast | Cloudanix
Join us as we delve into privacy engineering with our guest speaker Apoorvaa Deshpande, a seasoned privacy expert. Apoorvaa is currently a Senior Privacy Engineer at Google Cloud, working on privacy design, privacy-enhancing technologies (PETs), and data governance for AI. Prior to that, she was a tech lead at Snap Inc., leading the design and execution of several innovative PETs. Before that, she completed her PhD in Computer Science (cryptography) from Brown University.
In this insightful podcast, we explore the fundamental concepts of privacy by design and privacy engineering, the tools and techniques used to implement privacy-enhancing technologies (PETs), and the challenges and opportunities in this field. Discover how to balance user experience with privacy, the risks of building AI-powered features, and the future of privacy engineering.
00:00 Teaser and Introduction
08:10 What is Privacy Engineering?
13:15 Tools and types of libraries used by privacy engineers
15:25 Privacy by design vs. Privacy engineering
20:59 Implementing the concepts of privacy by design
24:00 Privacy Enhancing Technologies (PETs)
29:29 Case studies of PETs
36:42 Does privacy add friction to development teams?
43:00 Keeping balance between user experience and privacy
48:30 Designing privacy to encounter decision fatigue
50:58 Biggest Privacy Vulnerabilities available today
55:08 Risk of building AI-powered features
57:40 Future of Privacy Enhancing Technologies
01:01:30 Open source Proactive Privacy Solutions
01:03:37 Summary
01:04:30 Keeping a balance between Security, Developer productivity, and experience
01:06:45 Tips to handle work burnouts
01:09:00 Learning resources
View all episodes
By Scale To ZeroJoin us as we delve into privacy engineering with our guest speaker Apoorvaa Deshpande, a seasoned privacy expert. Apoorvaa is currently a Senior Privacy Engineer at Google Cloud, working on privacy design, privacy-enhancing technologies (PETs), and data governance for AI. Prior to that, she was a tech lead at Snap Inc., leading the design and execution of several innovative PETs. Before that, she completed her PhD in Computer Science (cryptography) from Brown University.
In this insightful podcast, we explore the fundamental concepts of privacy by design and privacy engineering, the tools and techniques used to implement privacy-enhancing technologies (PETs), and the challenges and opportunities in this field. Discover how to balance user experience with privacy, the risks of building AI-powered features, and the future of privacy engineering.
00:00 Teaser and Introduction
08:10 What is Privacy Engineering?
13:15 Tools and types of libraries used by privacy engineers
15:25 Privacy by design vs. Privacy engineering
20:59 Implementing the concepts of privacy by design
24:00 Privacy Enhancing Technologies (PETs)
29:29 Case studies of PETs
36:42 Does privacy add friction to development teams?
43:00 Keeping balance between user experience and privacy
48:30 Designing privacy to encounter decision fatigue
50:58 Biggest Privacy Vulnerabilities available today
55:08 Risk of building AI-powered features
57:40 Future of Privacy Enhancing Technologies
01:01:30 Open source Proactive Privacy Solutions
01:03:37 Summary
01:04:30 Keeping a balance between Security, Developer productivity, and experience
01:06:45 Tips to handle work burnouts
01:09:00 Learning resources