Filing excerpt
We face risks resulting from the extensive use of models and data, as well as from our evolving use of AI.
The company's increasing reliance on AI and complex data models creates risks of errors, bias, and unintended consequences, which could result in financial loss or regulatory scrutiny. This indicates a need for AI governance, model risk management (MRM), and explainable AI (XAI) solutions to mitigate these specific, high-stakes risks.
Filing excerpt
We face risks resulting from the extensive use of models and data, as well as from our evolving use of AI.
What this signalsFilings often name leadership changes, deals and spending plans.
Technologies
sec-10kaiInvestmentGet every 10-K signal for Capital One and the companies you sell to, in the tools you already use.
Connect Autobound to Claude, Claude Code or Cursor with MCP. Then ask: “What changed at Capital One this week?”
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This page shows a preview. The full sec-10k record in the Signal API and MCP can also have these 8 fields. Some fields are empty for some signals.
Company
linkedin_urlValue in the APIindustriesValue in the APIemployee_count_lowValue in the APIemployee_count_highValue in the APIrevenueValue in the APIdescriptionValue in the APISignal
signal_nameValue in the APIassociationValue in the APIGET /v1/signals/1340c3ea-1f5f-410b-984d-c9112015d547 returns this record as JSON. POST /v1/companies/enrich returns every signal for capitalone.com.
{
"signal_id": "1340c3ea-1f5f-410b-984d-c9112015d547",
"signal_type": "sec-10k",
"signal_subtype": "aiInvestment",
"detected_at": "2026-02-24T09:19:18.734+00:00",
"company": {
"name": "Capital One",
"domain": "capitalone.com"
},
"data": {
"detail": "The company's increasing reliance on AI and complex data models creates risks of errors, bias, and unintended consequences, which could result in financial loss or regulatory scrutiny. This indicates a need for AI governance, model risk management (MRM), and explainable AI (XAI) solutions to mitigate these specific, high-stakes risks.",
"summary": "Flags risks from extensive use of data models and evolving AI adoption.",
"excerpts": "We face risks resulting from the extensive use of models and data, as well as from our evolving use of AI.",
"relevance": 0.8,
"sentiment": "negative",
"confidence": "high",
"source_url": "https://www.sec.gov/Archives/edgar/data/927628/000092762826000024/cof-20251231.htm",
"filing_date": "2026-02-19",
"filing_year": 2026,
"fiscal_year_end": "12/31",
"sales_relevance": "Target for AI vendors",
"signal_category": "technology",
"technologies_mentioned": [
"AI"
]
}
}
curl https://signals.autobound.ai/v1/signals/1340c3ea-1f5f-410b-984d-c9112015d547 \
-H "X-API-KEY: $AUTOBOUND_API_KEY"curl -X POST https://signals.autobound.ai/v1/companies/enrich \
-H "X-API-KEY: $AUTOBOUND_API_KEY" \
-H "Content-Type: application/json" \
-d '{"domain":"capitalone.com","limit":20}'Long text fields are shortened on this page.
Looking up one signal by its id is free. Enrich costs 2 credits per signal returned; a call with no results is free.