Join our new IOPD Privacy Engineering & Technology Education Discussion (PETed) Series! The format of the webinar will be a one-hour informal discussion and interaction with members of the IOPD. The goal will be a discussion on how to solve a specific privacy problem or privacy related resource topic and the latest implementation techniques for some of the biggest challenges like synthetic data, zero-knowledge proofs, homomorphic encryption, and translucent databases. The participants will be asked to bring questions related to the topic. Come back the fourth Thursday of every month for a new discussion, new speaker, and new insights on the most cutting-edge privacy challenges!
Date & Time:
December 7th, 2023 @ 12:00 PM ET
Topic:
Vector Databases: AI Uses, Privacy Risks, and Mitigations
Problem Statement:
Developers are rushing to adopt new AI tools and techniques, and private data for AI systems is shifting out of models and into vector databases. These new databases are immature from a security and privacy perspective, and the attacks against them are numerous and growing by the day. Understanding, controlling, monitoring, and protecting the data in these databases should be a top priority of security and privacy teams.
Synopsis:
A short discussion of what a vector database is, how its popularity is soaring, why organizations are adopting it, and the many risks and misconceptions associated with the new types of data going into them.
Related PETs:
- Homomorphic Encryption
- Data-in-Use Encryption
- Customer-held Encryption Keys
Pre-Webinar Resources:
- Google: Meet AI’s multitool: Vector embeddings
- OpenAI: Introducing text and code embeddings
- IBM: What is retrieval-augmented generation?
- Retrieval Augmented Generation using Azure Machine Learning prompt flow
- “Embeddings Aren’t Human Readable” And Other Nonsense
- Text Embeddings Reveal (Almost) As Much As Text
- “Inverting facial recognition models (Can we teach a neural net to convert face embedding vectors back to images?)
Speaker:
Patrick Walsh
Patrick Walsh has more than 20 years of experience building security products and enterprise software solutions. Most recently, he ran an Engineering division at Oracle, bringing productivity and insights to the world’s largest companies. Patrick now leads IronCore Labs, a data protection platform that helps businesses get back control of their data so they can meet increasingly stringent data protection and privacy requirements.
Moderator:
Janelle Hsia
Janelle Hsia is the President and Founder of Privacy SWAN Consulting working as a trainer, consultant, and trusted advisor for strategic and tactical decision-making. While she is focused on the field of privacy and data protection, Janelle Hsia is not a lawyer and brings a diverse background with strong leadership, technical, and business skills spanning 20 years in the areas of project management, IT, privacy, security, data governance, and process improvement. Janelle Hsia is also Co-Founder and Vice-President of the Institute of Operational Privacy Design.