Vector Databases: AI Uses, Privacy Risks, and Mitigations | Privacy Engineering & Technology Education Discussion (PETed) Recording
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.
What Can Go Wrong With Your AI? | Privacy Engineering & Technology Education Discussion (PETed) Recording
Do AI systems require a holistic risk-based approach? How can you identify and assess all the different risks? During this session we discuss the problem of risk identification and assessment in AI systems. We will look into the ideas in Europe of introducing a Fundamental Rights Impact Assessment and we will explore some of the available tools with Isabel Barberá.
Navigating the CRM Data Landscape: Security, Compliance, and Innovation | Privacy Engineering & Technology Education Discussion (PETed) Recording
Join us for an engaging and informative interactive session featuring Mike Smith, Distinguished Security Architect at Salesforce. Mike is a Fellow of Information Privacy with the International Association of Privacy Professionals (IAPP), and is a seasoned expert in data security, privacy, and compliance, particularly in the world of SaaS applications. In this session, we will explore three critical aspects of managing data and protecting privacy in today’s digital world.
Using ChatGPT (or similar tools) with Privacy Compliance | Privacy Engineering & Technology Education Discussion (PETed) Recording
Join our first webinar in the 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!