Blog Post

Privacy Engineering: Navigating the Data Classification Maze | IAPP Silicon Valley Knowledgenet

Mar 16, 2023

The heavily cross-dependent nature of privacy requires a holistic privacy engineering strategy based on data mapping, data classification, and data inventory to quantify privacy risks, build and enforce automated controls, and support privacy-compliant workflows in an interconnected tech ecosystem.

In this IAPP Privacy Engineering KNet session, we will focus on data classification. We’ll discuss different classification schemes and approaches to data segmentation, as well as strategies to tackle unstructured data, collaborate on data handling with internal stakeholders, explore access options, and learn how to kick off and maintain the data classification process. Panelists will share challenges they have encountered in their data governance journey and how they addressed them, whether by using comprehensive tools available on the market or by developing in-house solutions. After the main panel, registrants are invited to share their experiences and approaches in small working groups under Chatham House rules. Bring your questions, share your experience, and contribute to the growing privacy engineering community in the Bay Area!

March 22 at Santa Clara University from 5-7:30 pm PT

Speakers:

  • Abhi Sharma, Co-Founder and Co-CEO, Relyance AI
  • Nishant Bhajaria, Privacy Engineering Lead, Uber
  • Tarana Damania, Sr. Director, Privacy Engineering at StockX

Moderator: Hoang Bao, Privacy & Data Protection Senior Leader, Google, Member of the IAPP Privacy Engineering Advisory Board

Welcoming words from IAPP: Nandita Rao, Head of Technical Privacy & Governance, DoorDash, Member of the IAPP Privacy Engineering Advisory Board

Welcoming words by Santa Clara University: Irina Raicu, Director of the Internet Ethics Program at the Markkula Center for Applied Ethics, Santa Clara University

March 22 at Santa Clara University from 5-7:30 pm PT

Register via this link: IAPP - Event

What’s a Rich Text element?

The rich text element allows you to create and format headings, paragraphs, blockquotes, images, and video all in one place instead of having to add and format them individually. Just double-click and easily create content.

Title

Static and dynamic content editing

A rich text element can be used with static or dynamic content. For static content, just drop it into any page and begin editing. For dynamic content, add a rich text field to any collection and then connect a rich text element to that field in the settings panel. Voila!

How to customize formatting for each rich text

Headings, paragraphs, blockquotes, figures, images, and figure captions can all be styled after a class is added to the rich text element using the "When inside of" nested selector system.

Blog Post

Privacy Engineering: Navigating the Data Classification Maze | IAPP Silicon Valley Knowledgenet

Mar 16, 2023

The heavily cross-dependent nature of privacy requires a holistic privacy engineering strategy based on data mapping, data classification, and data inventory to quantify privacy risks, build and enforce automated controls, and support privacy-compliant workflows in an interconnected tech ecosystem.

In this IAPP Privacy Engineering KNet session, we will focus on data classification. We’ll discuss different classification schemes and approaches to data segmentation, as well as strategies to tackle unstructured data, collaborate on data handling with internal stakeholders, explore access options, and learn how to kick off and maintain the data classification process. Panelists will share challenges they have encountered in their data governance journey and how they addressed them, whether by using comprehensive tools available on the market or by developing in-house solutions. After the main panel, registrants are invited to share their experiences and approaches in small working groups under Chatham House rules. Bring your questions, share your experience, and contribute to the growing privacy engineering community in the Bay Area!

March 22 at Santa Clara University from 5-7:30 pm PT

Speakers:

  • Abhi Sharma, Co-Founder and Co-CEO, Relyance AI
  • Nishant Bhajaria, Privacy Engineering Lead, Uber
  • Tarana Damania, Sr. Director, Privacy Engineering at StockX

Moderator: Hoang Bao, Privacy & Data Protection Senior Leader, Google, Member of the IAPP Privacy Engineering Advisory Board

Welcoming words from IAPP: Nandita Rao, Head of Technical Privacy & Governance, DoorDash, Member of the IAPP Privacy Engineering Advisory Board

Welcoming words by Santa Clara University: Irina Raicu, Director of the Internet Ethics Program at the Markkula Center for Applied Ethics, Santa Clara University

March 22 at Santa Clara University from 5-7:30 pm PT

Register via this link: IAPP - Event

What’s a Rich Text element?

The rich text element allows you to create and format headings, paragraphs, blockquotes, images, and video all in one place instead of having to add and format them individually. Just double-click and easily create content.

Title

Static and dynamic content editing

A rich text element can be used with static or dynamic content. For static content, just drop it into any page and begin editing. For dynamic content, add a rich text field to any collection and then connect a rich text element to that field in the settings panel. Voila!

How to customize formatting for each rich text

Headings, paragraphs, blockquotes, figures, images, and figure captions can all be styled after a class is added to the rich text element using the "When inside of" nested selector system.

Privacy Engineering: Navigating the Data Classification Maze | IAPP Silicon Valley Knowledgenet

The heavily cross-dependent nature of privacy requires a holistic privacy engineering strategy based on data mapping, data classification, and data inventory to quantify privacy risks, build and enforce automated controls, and support privacy-compliant workflows in an interconnected tech ecosystem.

In this IAPP Privacy Engineering KNet session, we will focus on data classification. We’ll discuss different classification schemes and approaches to data segmentation, as well as strategies to tackle unstructured data, collaborate on data handling with internal stakeholders, explore access options, and learn how to kick off and maintain the data classification process. Panelists will share challenges they have encountered in their data governance journey and how they addressed them, whether by using comprehensive tools available on the market or by developing in-house solutions. After the main panel, registrants are invited to share their experiences and approaches in small working groups under Chatham House rules. Bring your questions, share your experience, and contribute to the growing privacy engineering community in the Bay Area!

March 22 at Santa Clara University from 5-7:30 pm PT

Speakers:

  • Abhi Sharma, Co-Founder and Co-CEO, Relyance AI
  • Nishant Bhajaria, Privacy Engineering Lead, Uber
  • Tarana Damania, Sr. Director, Privacy Engineering at StockX

Moderator: Hoang Bao, Privacy & Data Protection Senior Leader, Google, Member of the IAPP Privacy Engineering Advisory Board

Welcoming words from IAPP: Nandita Rao, Head of Technical Privacy & Governance, DoorDash, Member of the IAPP Privacy Engineering Advisory Board

Welcoming words by Santa Clara University: Irina Raicu, Director of the Internet Ethics Program at the Markkula Center for Applied Ethics, Santa Clara University

March 22 at Santa Clara University from 5-7:30 pm PT

Register via this link: IAPP - Event

Blog Post

Privacy Engineering: Navigating the Data Classification Maze | IAPP Silicon Valley Knowledgenet

Aug 17, 2022

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Privacy Engineering: Navigating the Data Classification Maze | IAPP Silicon Valley Knowledgenet

The heavily cross-dependent nature of privacy requires a holistic privacy engineering strategy based on data mapping, data classification, and data inventory to quantify privacy risks, build and enforce automated controls, and support privacy-compliant workflows in an interconnected tech ecosystem.

In this IAPP Privacy Engineering KNet session, we will focus on data classification. We’ll discuss different classification schemes and approaches to data segmentation, as well as strategies to tackle unstructured data, collaborate on data handling with internal stakeholders, explore access options, and learn how to kick off and maintain the data classification process. Panelists will share challenges they have encountered in their data governance journey and how they addressed them, whether by using comprehensive tools available on the market or by developing in-house solutions. After the main panel, registrants are invited to share their experiences and approaches in small working groups under Chatham House rules. Bring your questions, share your experience, and contribute to the growing privacy engineering community in the Bay Area!

March 22 at Santa Clara University from 5-7:30 pm PT

Speakers:

  • Abhi Sharma, Co-Founder and Co-CEO, Relyance AI
  • Nishant Bhajaria, Privacy Engineering Lead, Uber
  • Tarana Damania, Sr. Director, Privacy Engineering at StockX

Moderator: Hoang Bao, Privacy & Data Protection Senior Leader, Google, Member of the IAPP Privacy Engineering Advisory Board

Welcoming words from IAPP: Nandita Rao, Head of Technical Privacy & Governance, DoorDash, Member of the IAPP Privacy Engineering Advisory Board

Welcoming words by Santa Clara University: Irina Raicu, Director of the Internet Ethics Program at the Markkula Center for Applied Ethics, Santa Clara University

March 22 at Santa Clara University from 5-7:30 pm PT

Register via this link: IAPP - Event

Blog Post

Privacy Engineering: Navigating the Data Classification Maze | IAPP Silicon Valley Knowledgenet

Aug 17, 2022

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