In this episode of The Macro AI Podcast, Gary Sloper and Scott Bryan examine a remarkable Connecticut court case in which a litigant embedded hidden white-on-white instructions in legal filings in an apparent attempt to manipulate any AI system that might review them. The court discovered the prompt injection, sanctioned the litigant, and used the case to highlight the growing risks of generative AI in professional workflows.  

Gary and Scott use the case as a jumping-off point to explain why prompt injection could become a major enterprise AI security and governance issue. As AI evolves from chatbots and copilots into agents that read documents, evaluate vendors, process invoices, analyze résumés, review contracts, and take actions, untrusted content can potentially contain instructions designed to influence those systems. 

They also discuss why simply keeping a “human in the loop” may not be enough if the AI’s analysis has already been manipulated—and why businesses need stronger controls around AI agents, trusted inputs, decision integrity, independent verification, and AI governance. 

Topics include: prompt injection, AI agents, agentic AI security, AI governance, human oversight, enterprise AI risk, and the growing challenge of separating data from instructions. 

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Gary Sloper

https://www.linkedin.com/in/gsloper/

Scott Bryan

https://www.linkedin.com/in/scottjbryan/

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