Aligning Data Security With Business Productivity To Deploy Analytics Safely And At Speed
Data Engineering Podcast
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The Trade-Off Between Productivity and Security
Satori's goal is to eliminate that trade off. We strongly believe that companies can be both secure and productive. One of our customers, it's the biggest fintech in Canada, one of the folks that we work with there, he has the saying that you need to make a secure way, the easy way to use data. So there's definitely a trade off if you don't use the right technology between productivity and security.
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Summary
As with all aspects of technology, security is a critical element of data applications, and the different controls can be at cross purposes with productivity. In this episode Yoav Cohen from Satori shares his experiences as a practitioner in the space of data security and how to align with the needs of engineers and business users. He also explains why data security is distinct from application security and some methods for reducing the challenge of working across different data systems.
Announcements
- Hello and welcome to the Data Engineering Podcast, the show about modern data management
- Join in with the event for the global data community, Data Council Austin. From March 28-30th 2023, they'll play host to hundreds of attendees, 100 top speakers, and dozens of startups that are advancing data science, engineering and AI. Data Council attendees are amazing founders, data scientists, lead engineers, CTOs, heads of data, investors and community organizers who are all working together to build the future of data. As a listener to the Data Engineering Podcast you can get a special discount of 20% off your ticket by using the promo code dataengpod20. Don't miss out on their only event this year! Visit: dataengineeringpodcast.com/data-council today
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- Your host is Tobias Macey and today I'm interviewing Yoav Cohen about the challenges that data teams face in securing their data platforms and how that impacts the productivity and adoption of data in the organization
Interview
- Introduction
- How did you get involved in the area of data management?
- Data security is a very broad term. Can you start by enumerating some of the different concerns that are involved?
- How has the scope and complexity of implementing security controls on data systems changed in recent years?
- In your experience, what is a typical number of data locations that an organization is trying to manage access/permissions within?
- What are some of the main challenges that data/compliance teams face in establishing and maintaining security controls?
- How much of the problem is technical vs. procedural/organizational?
- As a vendor in the space, how do you think about the broad categories/boundary lines for the different elements of data security? (e.g. masking vs. RBAC, etc.)
- What are the different layers that are best suited to managing each of those categories? (e.g. masking and encryption in storage layer, RBAC in warehouse, etc.)
- What are some of the ways that data security and organizational productivity are at odds with each other?
- What are some of the shortcuts that you see teams and individuals taking to address the productivity hit from security controls?
- What are some of the methods that you have found to be most effective at mitigating or even improving productivity impacts through security controls?
- How does up-front design of the security layers improve the final outcome vs. trying to bolt on security after the platform is already in use?
- How can education about the motivations for different security practices improve compliance and user experience?
- What are the most interesting, innovative, or unexpected ways that you have seen data teams align data security and productivity?
- What are the most interesting, unexpected, or challenging lessons that you have learned while working on data security technology?
- What are the areas of data security that still need improvements?
Contact Info
Parting Question
- From your perspective, what is the biggest gap in the tooling or technology for data management today?
Closing Announcements
- Thank you for listening! Don't forget to check out our other shows. Podcast.__init__ covers the Python language, its community, and the innovative ways it is being used. The Machine Learning Podcast helps you go from idea to production with machine learning.
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Links
- Satori
- Data Masking
- RBAC == Role Based Access Control
- ABAC == Attribute Based Access Control
- Gartner Data Security Platform Report
The intro and outro music is from The Hug by The Freak Fandango Orchestra / CC BY-SA
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- Data Council:  Join us at the event for the global data community, Data Council Austin. From March 28-30th 2023, we'll play host to hundreds of attendees, 100 top speakers, and dozens of startups that are advancing data science, engineering and AI. Data Council attendees are amazing founders, data scientists, lead engineers, CTOs, heads of data, investors and community organizers who are all working together to build the future of data. As a listener to the Data Engineering Podcast you can get a special discount off tickets by using the promo code dataengpod20. Don't miss out on our only event this year! Visit: [dataengineeringpodcast.com/data-council](https://www.dataengineeringpodcast.com/data-council) Promo Code: dataengpod20
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