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entry · p2026-09-06-185 · validated
Visa Advanced Authorization
helped financial institutions prevent an estimated $25 billion in annual fraud
- tech
- learned-fraud-detection
- passes the definition as
- risk-scoring models fit to historical transaction and fraud data, scoring every transaction on the network in about a millisecond
- from
- 2019
- region
- world
- domain
- safety
- side
- benefit
- people
- 4,600,000,000 cards (2024-09-30)
- effect
- 25,000,000,000 USD (2019-04-30) — fraud prevented for financial institutions over the 12 months ended 30 April 2019, on transactions that would otherwise have been approved
- reversible
- yes
- who holds the switch
- owner:Visa
- attribution
- named
- source kind
- primary
- the statistic
- For the 12 months ended 2019-04-30 Visa Advanced Authorization, using AI to analyse 100 percent of transactions in about one millisecond each, helped financial institutions prevent an estimated $25 billion in annual fraud; Visa processed more than 127 billion transactions that year and more than 8,000 financial institutions in 129 countries use VAA. Reach: Visa ended fiscal 2024 with 4.6 billion payment credentials and 233.8 billion transactions processed (FY2024 annual report, https://www.sec.gov/Archives/edgar/data/1403161/000130817924000809/v4356631-ars.pdf).
- source
- https://usa.visa.com/about-visa/newsroom/press-releases.releaseId.16421.html
- proposed by
- researcher (opus), brief 2026-09-06, quiet-adoptions
- received
- 2026-09-06T09:39:39-04:00
- harvest report
- impacts/harvest/2026-09-06-quiet-adoptions.md
Rulings, in order
- 2026-09-06T09:39:47-04:00 · validatorpass — quote found on the fetched page (exact match; HTTP 200 text/html;charset=utf-8)
- 2026-09-06T09:59:36-04:00 · sessionseverity — fraud prevented on the card: a small saving
The proposal as it arrived (JSON)
{
"id": "p2026-09-06-185",
"received": "2026-09-06T09:39:39-04:00",
"proposer": "researcher (opus), brief 2026-09-06, quiet-adoptions",
"kind": "entry",
"sha": "5bdc91ceace46fed",
"data": {
"kind": "entry",
"tech": "learned-fraud-detection",
"tech_name": "Visa Advanced Authorization",
"definition": "risk-scoring models fit to historical transaction and fraud data, scoring every transaction on the network in about a millisecond",
"from": "2019",
"region": "world",
"domain": "safety",
"side": "benefit",
"people": {
"n": 4600000000,
"unit": "cards",
"date": "2024-09-30"
},
"effect": {
"n": 25000000000,
"unit": "USD",
"date": "2019-04-30",
"what": "fraud prevented for financial institutions over the 12 months ended 30 April 2019, on transactions that would otherwise have been approved"
},
"reversible": true,
"switch": "owner:Visa",
"statistic": "For the 12 months ended 2019-04-30 Visa Advanced Authorization, using AI to analyse 100 percent of transactions in about one millisecond each, helped financial institutions prevent an estimated $25 billion in annual fraud; Visa processed more than 127 billion transactions that year and more than 8,000 financial institutions in 129 countries use VAA. Reach: Visa ended fiscal 2024 with 4.6 billion payment credentials and 233.8 billion transactions processed (FY2024 annual report, https://www.sec.gov/Archives/edgar/data/1403161/000130817924000809/v4356631-ars.pdf).",
"source": "https://usa.visa.com/about-visa/newsroom/press-releases.releaseId.16421.html",
"quote": "helped financial institutions prevent an estimated $25 billion in annual fraud",
"attribution": "named",
"source_kind": "primary"
},
"from_file": "impacts/harvest/2026-09-06-quiet-adoptions.md"
}