The Shifting Privacy Left Podcast S2E6: 'Privacy Left Trust' with Gary LaFever (Anonos)
Today, I welcome Gary LaFever, co-CEO & GC at Anonos; WEF Global Innovator; and a solutions-oriented futurist with a computer science and legal background. Gary has over 35 years of technical, legal and policy experience that enables him to approach issues from multiple perspectives. I last saw Gary when we shared the stage at a RegTech conference in London six years ago, and it was a pleasure to speak with him again to discuss how the Schrems II decision coupled with the increasing prevalence of data breaches and ransomware attacks have shifted privacy left from optional to mandatory, necessitating a "privacy left trust" approach.
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Gary describes the 7 Universal Data Use Cases with relatable examples and how they are applicable across orgs and industries, regardless of jurisdiction. We then dive into what Gary is seeing in the market in regard to the use cases. He then reveals the 3 Main Data Use Obstacles to accomplishing these use cases and how to overcome them with "statutory pseudonymization" and "synthetic data."
In this conversation that evaluates how we can do business in a de-risked environment, we discuss why you can't approach privacy with just words - contracts, policies, and treaties; why it's essential to protect data in use; and how you can embed technical controls that move with data for protection that meets regulatory thresholds while "in use" to unlock additional data use cases. I.e., these effective controls equate to competitive advantage.
Topics Covered:
- Why trust must be updated to be technologically enforced - "privacy left trust"
- The increasing prevalence of data breaches and ransomware attacks and how they have shifted privacy left from optional to mandatory
- 7 Data Use Cases, 3 Data Use Obstacles, and deployable technologies to unlock new data use cases
- How the market is adopting technology for the 7 use cases and trends that Gary is seeing
- What it means to "de-risk" data
- Beneficial uses of "variant twins" technology
- Building privacy in by design, so it increases revenue generation
- "Statutory pseudonymization" and how it will help you reduce data privacy risks while increasing utility and value
Resources Mentioned:
Guest Info:
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