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AII-1000-81997
ConfirmedA court, a regulator or the organization itself has stated the core facts, or the record cites a court or regulator source.Supporting sources are pending verification.

AI-enabled social engineering scams cause nearly $1 billion in consumer losses

Visa reported that criminals using AI-enabled social engineering tools conducted scams totaling nearly $1 billion from July to December 2025, making scams the fastest-growing consumer fraud category. The scams rely on impersonation and deception rather than technical system breaches, exploiting human trust as network-level payment security strengthens.

December 2025 Β· Visa Β· Fraud, scams and manipulation
December 2025
AII-1000-81997
Quick facts
Organization
Visa (deployer)
Category
Fraud, scams and manipulation
Country
United States
Date
December 2025
Drafted by
Raidu Incident Detection

What happened

From July to December 2025, Visa identified nearly $1 billion in scam-related activity across its global network, making scams the single largest category of consumer payment fraud.

Criminals increasingly use artificial intelligence and social engineering to manipulate people into authorizing payments themselves, impersonating trusted brands and institutions and manufacturing urgency to deceive victims into completing legitimate-looking transactions.

Reported impact

Scams have become the fastest-growing source of consumer harm, with nearly $1 billion in scam-related activity identified in the second half of 2025.

Index analysis

As network-level payment security strengthens, criminals are redirecting efforts from technical system compromises toward exploiting human trust rather than targeting technology.

Governance controls

Visa stated that addressing this shift requires continuous innovation at the network level and close collaboration across banks, merchants, policymakers and the broader payments ecosystem.

Classification

Organization
Visa (deployer)
Category
Fraud, scams and manipulation
Industry
Financial and insurance services
Country
United States
Harm status
Actual harm
Intent
Intentional
Timing
Unknown
Harm types
Economic or property
Harmed
Consumers, General public
Failure modes
Manipulation or dark pattern
AI systems
AI-enabled social engineering tools

Sources and evidence

Sources not yet published

This record was researched and written by the Index from original reporting. Its sources are still being verified by an editor, and they are listed here once that check is complete. Until then the record carries no reviewer.

How sources are verifiedSuggest a source for this incident