“Privacy is about handling data in a way that builds for both compliance and trust, maturity and transparency."

Nishant Bhajaria is cybersecurity and data privacy executive and the author of “Data Privacy: A Runbook for Engineers”. In this episode, we discussed the importance of data privacy and privacy engineering. Nishant described his definition of data privacy and why it is becoming a key concern for users, companies, and regulators. He explained why doing data privacy is hard and how companies can build a privacy-first culture. Nishant also covered other data privacy topics, including data classification, data sharing, data consent, and data privacy applied to machine learning.  

Listen out for:

• Career Journey - [00:03:29]
• Writing “Data Privacy” Book - [00:05:45]
• Building a Course - [00:10:04]
• Data Privacy Definition - [00:13:43]
• Data Privacy Concerns - [00:16:03]
• Data Privacy Regulations - [00:22:07]
• Data Privacy is Hard - [00:26:23]
• Privacy & Security - [00:31:22]
• Privacy-First Culture - [00:35:23]
• Data for Machine Learning - [00:39:23]
• Data Privacy Tooling - [00:42:45]
• Data Sharing - [00:45:45]
• Data Consent - [00:49:27]
• Data Classification - [00:52:10]
• 3 Tech Lead Wisdom - [00:55:46]

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Nishant Bhajaria’s Bio
Nishant Bhajaria is an executive in the cybersecurity and data privacy industry. Having started out as an engineer with a second act as a product manager, he pivoted to data protection before it became a high-visibility topic. Besides building and leading teams at Nike, Netflix, Google and Uber, Nishant has also authored the recently released Data Privacy: A Runbook for Engineers - a deep dive into strategies on effectively identifying, communicating and addressing privacy risks using technical strategies. He also teaches courses on LinkedIn Learning on cybersecurity, career development and building inclusive teams.

Follow Nishant:

• LinkedIn – linkedin.com/in/nishantjb
• LinkedIn Courses – https://www.linkedin.com/learning/instructors/nishant-bhajaria

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