Navigating the Risks of Building Generative AI Services
This ML Conference Whitepaper explores the critical risks of deploying Generative AI services and provides key strategies for securing AI-driven systems. Authored by industry expert Jeff Watkins, this whitepaper introduces the STOIC framework—highlighting threats like data theft, adversarial attacks, and model poisoning. With real-world case studies and actionable countermeasures, this guide is essential for businesses looking to innovate with AI while safeguarding their assets.
Register now for the Newsletter and get the Whitepaper for free!
Downloads – MLCon Whitepaper 2025
Navigating the Risks of Building Generative AI Services
This ML Conference Whitepaper explores the critical risks of deploying Generative AI services and provides key strategies for securing AI-driven systems. Authored by industry expert Jeff Watkins, this whitepaper introduces the STOIC framework—highlighting threats like data theft, adversarial attacks, and model poisoning. With real-world case studies and actionable countermeasures, this guide is essential for businesses looking to innovate with AI while safeguarding their assets.
Register now for the Newsletter and get the Whitepaper for free!
Table of Content
Introduction – Overview of Generative AI risks
Building Secure AI – Opportunities & security challenges