Security, Privacy, and Risk Management Strategies for Generative AI

Explore a comprehensive Google Cloud Events session that delves into five crucial strategies for navigating security, privacy, and risk challenges in the generative AI landscape. Learn about common security hurdles organizations face when implementing Gen AI solutions, understand Google's Cloud AI portfolio, and examine the AI/ML architecture through a security-focused lens. Master essential approaches including strategic planning, governance establishment, future-proofing, bottom-up innovation adoption, threat modeling, and leveraging Gen AI for defense. Gain practical insights through detailed discussions of hallucinations, prompt hacking, global AI regulations, and responsible AI principles, complemented by extensive Q&A and valuable resources including documentation on encryption, CISO papers, and Google's Secure AI Framework. Access additional support through Google Cloud Consulting and engage with the broader Google Cloud Community to continue your Gen AI security journey.

Syllabus

Common security challenges customers are facing when building with Gen AI
Cloud AI portfolio of products, personas, and use cases
Google AI/ML architecture in the context of security, privacy, and risk
Strategy 00: Have a strategy! The approach to achieve vision and goals
Strategy 01: Establish governance. Be aware of the risks
Strategy 02: Future-proof yourself
Strategy 03: Embrace bottom-up innovation
Strategy 04: Threat modeling
Strategy 05: Use Gen AI to defend against Gen AI

Summary of key takeaways
Q&A