Safeguarding Sensitive Data in the Age of Generative AI
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Key takeaways
- What Generative AI could mean for your business
- Secure and scalable ways to protect sensitive data in AI and LLMs
- How a privacy-by-engineering approach supports the ethical use of AI
Session Description
It’s no secret that generative AI and LLMs are the next big thing to revolutionize the tech world. But while these technologies offer transformative opportunities for businesses, they also raise significant concerns about the privacy and security of sensitive data because as LLMs learn, they remember everything — and you can’t make them “unlearn”. This raises a pressing concern: What are the implications of sharing sensitive data with generative AI models?
Join us for an insightful tech talk with Skyflow Head of Developer Relations, Sean Falconer, as we explore:
Speakers
Sean Falconer
"We were able to successfully deploy Skyflow in less than three weeks with the zero-trust vault architecture, and our total cost of ownership decreased by 67%."
Nitin Shingate
CTO, GoodRx
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