Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

YouTube

Securing AI Usage with the Google Secure AI Framework

Google Cloud Events via YouTube

Overview

Coursera Flash Sale
40% Off Coursera Plus for 3 Months!
Grab it
Learn essential strategies for securing AI implementations in this 51-minute cybersecurity talk from Google Cloud expert Nicolas Bédard. Discover the critical aspects of the emerging AI security landscape, including common challenges and potential risks that can affect organizational operations. Gain valuable insights into the Google Secure AI Framework (SAIF) principles and understand how to proactively address security challenges in AI deployments. Master actionable best practices for securing AI usage, based on real-world implementation experiences with various organizations. Through detailed exploration of six core elements and practical security actions, develop a comprehensive understanding of AI security threats and mitigation strategies. Participate in an interactive Q&A session to address specific concerns about securing AI systems in your organization.

Syllabus

Introduction
Why AI Security should be a priority
Google Secure AI Framework
Core Element 1
Core Element 2
Core Element 3
Core Element 4
Core Element 5
Core Element 6
Implementing AI Security
AI Security Actions
Threats
QA

Taught by

Google Cloud Events

Reviews

Start your review of Securing AI Usage with the Google Secure AI Framework

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.