Data Governance Meetups

Experiential discussions on engineering for security, compliance and privacy

Engineering for compliance and data governance is challenge for all industries and verticals. Whether it is data localization, compliance required to connect with public digital platforms, GDPR, CCPA or the impending Personal Data Protection (PDP) Bill in India, companies have to engineer solutions for:

  1. Data acquisition
  2. Data storage
  3. Re-engineering data infrastructure for privacy
  4. Data anonymisation
  5. Data security
  6. Privacy, data and security audits

Data governance meetups are peer-to-peer learning sessions where practitioners share implementation experiences and insights with participants. Participants are welcome to submit topics and presentation ideas here.

Sessions are held monthly. Thus far, we have held meetings in July, August and September, covering GDPR compliance, frameworks for automating data governance and building resources that can help us, as tech industry, to establish standards for upcoming data governance laws. Video recordings are published on https://hasgeek.com/fifthelephant/data-governance-meetups/videos

October meeting will be held on Saturday, 10 October. Atif Akhtar of ThoughtWorks will speak about Data Catalogs and how to do them right. Mayur Ralekar of Skizzle will talk about end-to-end encryption as applied to email attachments

Participation in the monthly meetings is via Zoom, for registered participants. Alternatively, you can watch the YouTube livestream on this page.

About curators: This meetup series is curated by The Fifth Elephant alumnus, Rajat Venkatesh, with active involvement of Devangana Khokhar and Shadab Siddiqui.

For queries, contact 7676332020 or email fifthelephant.editorial@hasgeek.com

Hosted by

The Fifth Elephant - known as one of the best data science and Machine Learning conference in Asia - has transitioned into a year-round forum for conversations about data and ML engineering; data science in production; data security and privacy practices. more

Mayur Relekar

@mayur-relekar

How we do end-to-end encryption at https://skizzle.email

Submitted Sep 29, 2020

A deep dive into how we do E2EE and how we intend to improve on the E2EE implementation in our secure file sharing product called Skizzle.
1. You will learn not only about our current E2EE implementation but also our proposed future implementation where we intend to employ Signal’s Double Ratchet Algorithm
2. We will also discuss our measures to ensure Skizzle is privacy preserving.
3. We will also discuss how we leverage a public blockchain to bring about unprecedented trust in Skizzle.

Outline

In its current avatar, Skizzle is a browser extension that allows you to send/receive end-to-end encrypted attachments right in your Gmail. All user actions are written to a public blockchain which allows them to publicly verify their account usage and the state of their files(who has access), at any time.
With a focus on data security and being privacy preserving, Skizzle intends to create a suite of products for various platforms that allows all kinds of users(individuals, small or big businesses/institutions) to plug E2EE of files and data into their normal workflow when using their favorite email or chat clients.
We also intend to expand into a secure storage and data sharing platform where developers can plug our SDKs into their apps and offer a variety of E2EE use cases to their users, right out of the box.

Talk Sequence:

  1. Introduction to Skizzle
  2. How does Skizzle do E2EE
  3. How is Skizzle privacy preserving
  4. How is Skizzle transparent
  5. What the future looks like for Skizzle

Speaker bio

Mayur Relekar
Founder https://skizzle.email
Founder https://newfang.io
https://www.linkedin.com/in/mayurrelekar
https://twitter.com/mayurrelekar

Links

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Hosted by

The Fifth Elephant - known as one of the best data science and Machine Learning conference in Asia - has transitioned into a year-round forum for conversations about data and ML engineering; data science in production; data security and privacy practices. more