
Code Story
The Gene Simmons of Data Protection - Are You Ready For the GenAI Data Frontier?
Wed, 23 Apr 2025
The Gene Simmons of Data Protection: Protegrity's KISS MethodToday, we are releasing another episode from our series, entitled The Gene Simmons of Data Protection - the KISS Method, brought to you by none other than Protegrity. Protegrity is AI-powered data security for data consumption, offering fine grain data protection solutions, so you can enable your data security, compliance, sharing and analytics.Episode Title: Are You Ready For the GenAI Data Frontier? Exploring GenAI SecurityIn this episode, we talk with Anthony Cammarano, CTO & VP of Engineering, as he breaks down and simplifies GenAI for companies struggling in the new frontier. There is a flood of unstructured data pouring into workflows - thanks to GenAI - and traditional security methods aren't prepared to cover this expanded attack surface. The good news is that companies already have what they need to fix this, and it's a simple mindset shift.QuestionsWhat are some of the most common misconceptions or trends about GenAI, as it relates to data protection and privacy, that organizations face today?What are the primary business challenges facing the adoption of GenAI today?How do modern GenAI systems create data security vulnerabilities and what are the potential risks?What is crucial in the implementation of GenAI-security solutions, and how can it accelerate AI adoption?Can you provide examples of how attackers are targeting data during its use and the importance of securing this data?What are some best practices for robust data governance and how can organizations stay ahead in the rapidly evolving GenAI landscape?Linkshttps://www.protegrity.com/https://www.linkedin.com/in/ac56/Our Sponsors:* Check out Vanta: https://vanta.com/CODESTORY* Check out Vanta: https://vanta.com/CODESTORYSupport this podcast at — https://redcircle.com/code-story/donationsAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy
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