The Untold Story of Data Privacy in the AI Age
Ever wondered just how safe your data is when you're using LLM-powered tools from third parties?
AI & Privacy, Today
Since late 2022, Generative AI has transformed the way we work and live, offering unprecedented productivity gains.
Tools like Gemini, ChatGPT, and Claude hold immense promise but come with varying levels of risk depending on whether they're used personally or professionally. At home, where sensitive information isn't often handled, the risks are low. Businesses, however, face substantial threats when entrusting crucial data to third-party cloud providers, who could potentially gain access to it. Consequently, many companies have chosen to prohibit or strictly limit the use of these tools, significantly reducing their beneficial effects.
In response to these concerns, Zylon's open-source project PrivateGPT pioneered the "Private AI" concept in 2023. Rather than sending sensitive information to external third parties, this approach brings AI deployment inside your secure environment to interact with private data. This strategy ensures data sovereignty and can even function completely offline in air-gapped environments.
Key Takeaways
Join us to explore the rapidly evolving "Private AI" landscape. We'll break down various LLM-based architectures and the privacy protections each offers. The sessions will feature real-world examples from both established companies and innovative startups pushing boundaries in this space.
Event Schedule
16.45 - Doors Open
17.00 - AI Privacy Levels & Architectures, by Daniel Gallego, Co-Founder @ Zylon.
17.45 - Building Sovereign AI Solutions with Google Cloud, by Jaime Robles, Principal Security Architect @ Google.
18.30 - Expert Panel Discussion, moderated by Iván Martinez, Co-Founder @ Zylon, featuring Juan Luis Hernández, Head of Data & AI @ Mapfre, Óscar Vicente, Co-Founder @ Bidcrunch, and Juan López, Partner at Kibo Ventures.
19.15 - Networking & Snacks, sponsored by Zylon