Privacy by Architecture with Skyflow’s Anshu Sharma

Partially Redacted: Data, AI, Security, and Privacy

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اضافه شده در three سال پیش

محتوای ارائه شده توسط Skyflow. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط Skyflow یا شریک پلتفرم پادکست آن‌ها آپلود و ارائه می‌شوند. اگر فکر می‌کنید شخصی بدون اجازه شما از اثر دارای حق نسخه‌برداری شما استفاده می‌کند، می‌توانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal

۳ سال پیش 38:30

MP3•خانه قسمت

Both compliance regulations and consumer needs are creating increasing pressure on companies to do a better job of securing and managing their sensitive customer data. Yet, companies continue to struggle to comply with regulations, meet consumer privacy demands, and prevent data breaches.
Anshu Sharma, CEO and founder of Skyflow, joins the show to discuss a radically different approach to privacy, the data privacy vault. With a data privacy vault, a company is making the architectural decision to move their sensitive customer data out of their existing infrastructure and into a vault. The vault is isolated and protected, becoming the single source of truth for all sensitive customer PII, effectively de-scoping existing systems from the responsibilities of compliance, data security, and data privacy.
The data privacy vault makes the principles of privacy by design actionable, creating a system for engineers to implement the principles in the form of privacy by architecture.

Topics covered:

How did you end up with an interest in working in the data privacy space
Why should companies care about privacy?
Why is privacy hard for companies?
What is a data privacy vault?
Where did this technology come from?
How does the data privacy vault help with things like data security and compliance?
How is this different from just a dedicated encrypted database for PII?
Why haven't more companies built their own vaults?
Why is an API the right way to deliver this technology?
How does the vault facilitate data utility while still protecting the data?

Resources:

Follow Anshu on Twitter @anshublog.

76 قسمت

#Tech #Skyflow

Privacy by Architecture with Skyflow’s Anshu Sharma

Partially Redacted: Data, AI, Security, and Privacy

17 subscribers

published ۳ سال پیش

اشتراک گذاری

MP3•خانه قسمت

Topics covered:

How did you end up with an interest in working in the data privacy space
Why should companies care about privacy?
Why is privacy hard for companies?
What is a data privacy vault?
Where did this technology come from?
How does the data privacy vault help with things like data security and compliance?
How is this different from just a dedicated encrypted database for PII?
Why haven't more companies built their own vaults?
Why is an API the right way to deliver this technology?
How does the vault facilitate data utility while still protecting the data?

Resources:

Follow Anshu on Twitter @anshublog.

76 قسمت

#Tech #Skyflow

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۲ years پیش32:47

32:47

In this episode, Ram Muthukrishnan, Senior Product Manager at Skyflow, joins the show to delve into the fundamental aspects of data protection. Ram demystified key concepts like redaction, masking, and encryption, shedding light on their significance in the world of data protection. Ram walked us through the practical applications of these techniques and their role in ensuring data privacy and security in today's digital landscape. Topics: Why is it important to protect sensitive customer data? What are the key differences between redaction, masking, encryption, and tokenization as data protection techniques? How does data redaction work, and in what scenarios is it typically used? What’s it mean to mask data and what are the different approaches? Can you break down the basics of encryption for our listeners? What are the primary differences between symmetric and asymmetric encryption, and when should each be used Tokenization is often associated with payment data. Could you explain how tokenization replaces sensitive data with tokens and its advantages? When does it make sense to use tokenization versus something like encryption? What advantages or disadvantages are there to tokenization? Access control is a critical aspect of data protection. How does it work, and what are some best practices for implementing effective access control measures? How can organizations balance the need for data security with the requirement for data accessibility by authorized personnel? Are there any common misconceptions or challenges when it comes to implementing these data protection techniques? What are some emerging trends or technologies in the field of data protection that we should be aware of? Resources: Confidential Computing and Secure Enclaves with AWS's Arvind Raghu Secure Multi-Party Computation Explained with Skyflow's Liz Acosta Homomorphic Encryption with Skyflow’s Avradip Mandal…

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