Are My Trade Secrets at Risk if I Use AI to Process Proprietary Data?
Dear Will & AiME,
If we use AI to process proprietary data, does that risk exposing our trade secrets?
— Concerned CTO in Boston
Short answer💡
Yes, potentially. Using AI to process proprietary data can put trade secrets at risk if the system stores, shares, or learns from that data, so strong controls, contracts, and tool selection are critical to maintaining confidentiality.
Dear Concerned CTO in Boston,
Trade secrets are only valuable if they remain secret. Using AI to process proprietary data can introduce risks if the AI system retains, shares, or learns from the data. Businesses must ensure AI usage doesn’t lead to unintentional disclosure.
How AI Use Can Put Trade Secrets at Risk
Trade secrets are protected as long as they remain confidential and provide a business advantage. If AI tools expose your proprietary data, you could lose legal protections. Key risks include:
Data Retention: Some AI models store input data, potentially making it accessible to third parties, particularly where the data is used to train the AI model.
Third-Party AI Services: If using cloud-based AI, your data might be shared with the AI provider.
Machine Learning Influence: If AI is trained on your proprietary data, aspects of your trade secrets may appear in future outputs.
How to Protect Your Trade Secrets When Using AI
To prevent exposure, follow these steps:
Use Private AI Models
Opt for on-premise AI solutions or models that don’t retain input data.Review AI Provider Agreements
Check terms of service to ensure your data isn’t stored or used for AI training.Limit Data Input
Avoid entering sensitive or proprietary information unless you control the AI environment.
By taking these precautions, you can harness AI’s power without compromising trade secret protection.
-Will & AiME
Three Takeaways:
AI tools can risk trade secret exposure if they store or share input data.
Review AI provider agreements to ensure proprietary data is protected.
Use private AI models or limit sensitive data input to maintain confidentiality.
