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Demystifying GenAI and LLMs: A Practical Guide to Managing Risks and Security

Presented by

Caleb Sima, Chief Security Officer, Robinhood Markets

About this talk

As sophisticated General AI and Machine Learning technologies become increasingly entwined into everyday business operations, understanding their fundamental principles, how they work, and the associated security implications has never been more crucial. In this engaging seminar, we'll present a business-friendly overview of GenAI and Large Language Models (LLMs), shedding light on their practical security implications and risks, rather than focusing on futuristic applications. We'll pull back the complex veil on LLMs, simplifying its operations without oversimplifying the technology. Through this, attendees will understand the risk of uncontrolled disclosure of Personally Identifiable Information (PII) using an LLM is carefully managed. We'll then explore various LLM deployment scenarios, namely Public LLMs, Private LLMs, LLMs as a service, and potential LLM abuse by malicious agents. We aim to provide participants with practical knowledge, discuss common fears with data ingestion and extraction, and recommend actionable strategies.
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