RegTech expert Tom reveals critical risks of using AI tools in regulated environments. Learn why uploading company data to ChatGPT or Claude could breach confidentiality agreements and what solutions exist for FinTech and HealthTech companies.

AI Data Ownership in Regulated Environments

Key Topics Covered

The Data Ownership Problem

• Why uploading company data to consumer AI tools is risky
• How confidentiality agreements and customer contracts are impacted
• What happens to your data when you use AI vendors
• The model training issue: vendors using your data to improve their products

Three Solutions for Safe AI Use

1. Read Your Contracts Carefully

• Understanding vendor terms and conditions
• Identifying data ownership clauses
• Recognizing training rights in agreements

2. Disable Data Training Features

• Finding the opt-out switches in AI platforms
• Limitations of relying on vendor settings
• Internal compliance challenges

3. Use Enterprise-Grade Solutions

• Microsoft Foundry
• AWS Bedrock
• GCP Vertex
• Databricks
• Benefits of constrained environments
• Maintaining control over model training

Regulated Industries Affected

• FinTech
• HealthTech
• Any organization with confidentiality agreements
• Companies subject to data protection regulations

Action Items

• Audit current AI tool usage in your organization
• Review vendor agreements for data ownership clauses
• Establish AI usage policies and procedures
• Evaluate enterprise AI platforms for your needs
• Train employees on safe AI practices

Host

Tom - RegTech specialist focusing on AI and digital transformation in regulated environments

Chapters

• 0:02 - Introduction: AI in Regulated Environments
• 0:48 - The Data Ownership Problem
• 1:47 - Why AI Vendors Train on Your Data
• 2:18 - Solution 1: Read Your Contracts
• 2:36 - Solution 2: Disable Training Features
• 3:25 - Solution 3: Enterprise AI Platforms
• 4:53 - Final Recommendations and Action Items