Substantiation

Substantiation is the process of providing documented evidence and factual support for claims made about AI systems, particularly regarding their capabilities, performance, and safety characteristics. In enterprise AI governance, substantiation ensures that organizations can back up assertions about their models with verifiable data, testing results, and methodology documentation. This practice is critical for regulatory compliance, building stakeholder trust, and defending against liability claims when AI systems make decisions that affect customers, employees, or business operations.

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EnforcementUS2026-07-29

$150 Million FTC Penalty for Unsubstantiated AI Performance Claims Sets a New Enforcement Baseline for Marketing Review Programs

The U.S. Federal Trade Commission imposed a $150 million civil penalty on a software company for marketing its AI product with performance guarantees that could not be substantiated. The action establishes a significant enforcement precedent for AI claims governance in the United States. It directly implicates marketing review processes, legal sign-off procedures, and the internal controls enterprises use to validate what they say publicly about their AI products.

FTC AI claims consumer protection marketing review enforcement action substantiation AI governance