Data Poisoning, Prompt Injection and Exploring Vulnerabilities of Gen AI

Artificial intelligence systems are only as trustworthy as the data they're trained on — but what happens when that data is intentionally corrupted? WWT's Justin Hadler and Chance Cornell break down the growing threats of data poisoning and prompt injection, explore the challenges of securing AI pipelines and dive into why the next big cybersecurity frontier starts inside the model.

Learn more about this week's guests: 

Chance Cornell joined WWT in 2021 as an intern and is now a Technical Solutions Engineer on the Users and Devices Team, focusing on Endpoint Security, including EDR and XDR. He has developed labs and content around technologies like CrowdStrike, Elastic, and Fortinet. Chance holds a B.S. in Computer Engineering from the University of South Florida.

Chance's top pick: Hands-On Lab Workshop: LLM Security

Justin Hadler is a seasoned technologist with over 20 years of experience in sales and technology. As a Technical Solutions Architect at WWT, he specializes in AI Security. Previously, Justin was a Regional Sales Manager at BigID, helping organizations tackle data discovery and classification challenges. He holds multiple certifications, including CCIE and CISSP, and degrees in Finance, MIS, and Economics. Justin is also Vice Chairman of Search Ministries' Leadership Board and mentors the next generation in tech and sales.

Justin's top pick: Secure Your Future: A CISO's Guide to AI

Support for this episode provided by: Crowdstrike

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