Did you know most AI security risks fall into 4 primary categories? Adversarial attacks, model inversion attacks, data poisoning, and model theft. Given these risks in AI systems, what’s the best way to secure them? 

Fortunately, Wiz recently put together an ebook, Getting Started with AI Security, designed to walk security teams through the founding principles to secure their AI development pipeline while mitigating AI-related risks.  

This guide goes into detail across the following areas:

• AI risks and best practices for mitigation: Understand the threats and how to tackle them. 

• Safeguarding your AI development pipeline: Learn how AI-SPM can protect your AI projects. 

• Using AI to power security: Discover how AI can enhance your security operations and incident response.