Filing excerpt
delivering enhanced security and functionality (increasing tokenization, scaling authentication and streamlining online checkout) and driving increased approval, spend and activation rates
Mastercard is prioritizing enhanced security and functionality to drive brand preference, specifically mentioning scaling tokenization and authentication. This signals budget and focus for cybersecurity solutions that can improve security without adding friction to the user experience.
Filing excerpt
delivering enhanced security and functionality (increasing tokenization, scaling authentication and streamlining online checkout) and driving increased approval, spend and activation rates
What this signalsFilings often name leadership changes, deals and spending plans.
Technologies
sec-10kcybersecurityInvestmentGet every 10-K signal for Mastercard 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 Mastercard this week?”
The Signal API returns 10-K signals for any list of companies as JSON, for your CRM, warehouse or app.
Sign up and spend your free credits on the companies you sell to.
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/b351c2e8-9ea1-4f8b-b5f3-2114d7646c01 returns this record as JSON. POST /v1/companies/enrich returns every signal for mastercard.com.
{
"signal_id": "b351c2e8-9ea1-4f8b-b5f3-2114d7646c01",
"signal_type": "sec-10k",
"signal_subtype": "cybersecurityInvestment",
"detected_at": "2026-02-17T06:28:46.238+00:00",
"company": {
"name": "Mastercard",
"domain": "mastercard.com"
},
"data": {
"detail": "Mastercard is prioritizing enhanced security and functionality to drive brand preference, specifically mentioning scaling tokenization and authentication. This signals budget and focus for cybersecurity solutions that can improve security without adding friction to the user experience.",
"metrics": {
"timeframe": "current_year"
},
"summary": "Enhancing security by scaling tokenization and authentication for online checkout",
"excerpts": "delivering enhanced security and functionality (increasing tokenization, scaling authentication and streamlining online checkout) and driving increased approval, spend and activation rates",
"relevance": 0.8,
"sentiment": "neutral",
"confidence": "high",
"source_url": "https://www.sec.gov/Archives/edgar/data/1141391/000114139126000013/ma-20251231.htm",
"filing_date": "2026-02-11",
"filing_year": 2026,
"fiscal_year_end": "12/31",
"sales_relevance": "Security vendor opportunity",
"signal_category": "technology",
"technologies_mentioned": [
"tokenization",
"authentication"
]
}
}
curl https://signals.autobound.ai/v1/signals/b351c2e8-9ea1-4f8b-b5f3-2114d7646c01 \
-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":"mastercard.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.