RiskDiff extracts and diffs Item 1A risk factors from SEC 10-K filings — showing exactly what changed, word for word, across 431+ companies. Risk matching uses deterministic ML, not LLM-generated content.
Companies newly disclosing risks from generative AI, LLM systems, and machine learning in their operations or products.
149 companies →Companies adding new disclosures around cyber threats, data breaches, and information security failures.
135 companies →Companies newly flagging supply chain disruptions, supplier concentration, or critical component shortages.
143 companies →Companies adding tariff exposure and trade restriction language that wasn’t in their prior-year filing.
62 companies →AI risk language appeared as a new addition in 149 out of 431 companies tracked — making it the second most common newly-added theme across recent 10-K filings. Companies include Alphabet, JPMorgan Chase, Meta, Microsoft, and Tesla, among many others.
Risk sections that appear for the first time — what management now considers material enough to warn investors about.
Text present in the prior filing but absent in the current one. Can indicate resolved exposure or a shift in framing.
Sections materially changed from year to year — matched by text similarity scoring across consecutive filings.
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