Fintech Fraud and Cybersecurity Statistics

Fintech fraud keeps getting more expensive, while cyber attacks keep getting easier to run at scale. This page brings the latest numbers together so you can see where losses are rising, which attack paths show up most often, and which security controls now matter most for digital finance. :contentReference[oaicite:0]{index=0}

$12.5B Total reported fraud losses in 2024
22% Most common finance breach entry vector: credential abuse
2 in 3 Financial services organisations that reported 1 to 10 cyber incidents or breaches
AI fraud Fastest rising threat signal, with UK firms targeted at 35% in Q1 2025 versus 23% a year earlier

Summary sources referenced in this article include the Federal Trade Commission, Verizon DBIR, Deloitte, IBM Security, and Experian. :contentReference[oaicite:1]{index=1}

How common is fraud in the fintech industry?

Fraud is common enough that two out of three financial services organisations told Deloitte they had between one and 10 cyber incidents or breaches in a recent survey period, while Deloitte also reported attacks targeting financial apps rose 38% year over year. Verizon’s 2025 finance snapshot adds scale to that picture with 3,336 incidents and 927 confirmed data disclosures in the finance and insurance sector, with the top three breach patterns making up 74% of breaches. :contentReference[oaicite:2]{index=2}

Fraud Type Percentage of Incidents Source Reference
System intrusion 53% Verizon Data Breach Investigations Report 2025, Finance Snapshot
Social engineering 17% Verizon Data Breach Investigations Report 2025, Finance Snapshot
Basic web application attacks 12% Verizon Data Breach Investigations Report 2025, Finance Snapshot
Miscellaneous errors 12% Verizon Data Breach Investigations Report 2025, Finance Snapshot
Privilege misuse 6% Verizon Data Breach Investigations Report 2025, Finance Snapshot

These percentages come from Verizon’s finance sector pattern mix for 2025. :contentReference[oaicite:3]{index=3}

Bar chart: finance breach patterns
System intrusion53%
Social engineering17%
Basic web application attacks12%
Miscellaneous errors12%
Privilege misuse6%

What are the most common types of fintech fraud?

Recent datasets do not use one single fraud taxonomy, but the strongest indicators still point to identity theft, phishing, account takeover, and payment fraud as the types that show up most often in digital finance discussions. Experian says identity theft worries 68% of consumers, Verizon shows social engineering at 17% of finance breaches and says phishing leads that group, Verizon also puts credential abuse at 22% of finance breach entry paths, and Statista’s 2026 business cyberthreat chart lists payment fraud at 37%. :contentReference[oaicite:4]{index=4}

  • Identity theft: 68% of consumers say it is a top concern, according to Experian.
  • Phishing: phishing and pretexting lead social engineering incidents in finance, according to Verizon.
  • Account takeover: stolen credentials were used as an initial access path in 22% of breaches reviewed by Verizon.
  • Payment fraud: Statista’s recent business cyberthreat snapshot shows payment fraud at 37%.

The figures below combine the latest trusted indicators for each fraud type, so they should be read as recent prevalence signals, not one single census line. :contentReference[oaicite:5]{index=5}

Fraud Type Share (%) Source Reference
Identity theft 68% Experian 2025 U.S. Identity & Fraud Report
Phishing / social engineering 17% Verizon Data Breach Investigations Report 2025, Finance Snapshot
Account takeover / stolen credentials 22% Verizon Data Breach Investigations Report 2025
Payment fraud 37% Statista cyberthreat chart, 2026
Bar chart: leading fintech fraud indicators
Identity theft68%
Payment fraud37%
Account takeover22%
Phishing / social engineering17%

How much money is lost to fintech fraud each year?

Consumer-reported fraud losses in the United States alone reached $12.5 billion in 2024, up from more than $10 billion in 2023, nearly $8.8 billion in 2022, and more than $5.8 billion in 2021. These are FTC figures, so they do not cover every fintech loss in the market, but they show the direction clearly. :contentReference[oaicite:6]{index=6}

Year Fraud Loss (USD) Source Reference
2021 $5.8 billion Federal Trade Commission
2022 $8.8 billion Federal Trade Commission
2023 $10.0 billion+ Federal Trade Commission
2024 $12.5 billion Federal Trade Commission
Bar chart: reported annual fraud losses
2021$5.8B
2022$8.8B
2023$10.0B+
2024$12.5B

How has fintech fraud changed over time?

Losses have not moved in a straight line, but the trend still points up. FTC data shows reported fraud losses jumped 70% in 2021, rose another 30% in 2022, increased 14% in 2023, and then climbed 25% in 2024. The share of people who reported losing money also moved from 27% in 2023 to 38% in 2024. :contentReference[oaicite:7]{index=7}

Year Fraud Rate Change Source Reference
2021 70% growth in reported losses Sharp spike from 2020 Federal Trade Commission
2022 30% growth in reported losses Still rising fast Federal Trade Commission
2023 14% growth in reported losses Growth slowed but stayed positive Federal Trade Commission
2024 25% growth in reported losses Growth picked up again Federal Trade Commission
Bar chart: growth in reported fraud losses
202170%
202230%
202314%
202425%

Which sectors are most affected by fintech fraud?

What do statistics show for digital payments?

Digital payments took the biggest hit by value in FTC reporting. Bank transfers and payments led 2024 fraud losses at $2.09 billion. That makes payment rails the clearest high-loss area in the current consumer data. :contentReference[oaicite:8]{index=8}

What do statistics show for online banking?

Online banking stays exposed because finance breaches still lean on stolen access and social tricks. Verizon says credential abuse was the most common initial access vector at 22%, while social engineering made up 17% of finance breaches. :contentReference[oaicite:9]{index=9}

What do statistics show for lending platforms?

Lending and account opening flows carry trust and identity pressure. Experian says only 13% of consumers feel fully secure opening new accounts online, while 40% say a strong identity experience builds trust. That is a warning sign for digital lenders that depend on fast onboarding. :contentReference[oaicite:10]{index=10}

What do statistics show for crypto platforms?

Crypto remains a high-loss channel. The FTC says consumers reported $1.42 billion in losses tied to cryptocurrency as a payment method in 2024, while Chainalysis says illicit crypto address value for 2024 came to $40.9 billion based on current metrics. :contentReference[oaicite:11]{index=11}

Sector Statistic Source Reference
Digital payments $2.09 billion in reported losses Federal Trade Commission, 2024
Online banking 22% credential abuse and 17% social engineering in finance breaches Verizon DBIR 2025
Lending platforms Only 13% feel fully secure opening new accounts online Experian 2025
Crypto platforms $1.42 billion reported losses by payment method Federal Trade Commission, 2024
Comparison chart: sector risk signals
Digital payments$2.09B
Online banking22%
Lending platforms13%
Crypto platforms$1.42B

What do cybersecurity statistics show about fintech protection measures?

Protection spending is moving up because attack pressure is still high. Experian says over a third of companies are already using AI to fight fraud, over half are adopting new analytics and AI models, and 70% plan to raise fraud prevention budgets in 2025. IBM adds that extensive use of AI in security is linked to $1.9 million in breach-cost savings. :contentReference[oaicite:12]{index=12}

Protection Measure Statistic Source Reference
AI used to fight fraud Over 33% of companies Experian 2025 U.S. Identity & Fraud Report
New analytics and AI model adoption Over 50% of companies Experian 2025 U.S. Identity & Fraud Report
Planned fraud prevention budget increase 70% Experian 2025 Fraud Trends Webinar
Cost savings from extensive AI security use $1.9 million IBM Security, 2025
Bar chart: protection measures and adoption
AI used to fight fraud33%+
New analytics / AI models50%+
Budget increase planned70%
AI security savings index$1.9M

What are the main causes of fintech cybersecurity breaches?

The main causes still come back to people, credentials, and unpatched systems. Verizon says the human element appeared in about 60% of breaches, credential abuse accounted for 22% of initial access in breaches reviewed, exploitation of vulnerabilities reached 20% in finance, and social engineering stood at 17%. Verizon also says only about 54% of edge device and VPN vulnerabilities were fully remediated during the year. :contentReference[oaicite:13]{index=13}

Cause Statistic Source Reference
Human error / human element 60% of breaches involved a human element Verizon DBIR 2025
Weak passwords / credential abuse 22% Verizon DBIR 2025
System vulnerabilities 20% finance breach initial access share Verizon Finance Snapshot 2025
Phishing / social engineering 17% of finance breaches Verizon Finance Snapshot 2025
Bar chart: main breach causes
Human element60%
Credential abuse22%
Vulnerability exploitation20%
Social engineering17%

How does fintech cybersecurity compare with traditional financial systems?

Digital-first finance looks more exposed at the front door, while traditional financial systems carry a heavier breach burden once attackers get in. Deloitte says attacks on financial apps rose 38% year over year, Experian says only 13% of consumers feel fully secure opening new accounts online, and Verizon still shows the wider finance sector dominated by credential abuse, social engineering, and system intrusion. IBM reports the global average breach cost at $4.4 million in 2025, while IBM material published in 2026 cites financial industry breach costs as high as $5.56 million. :contentReference[oaicite:14]{index=14}

Comparison Point Fintech / Digital-First Signal Traditional Finance Signal
Attack growth Financial app attacks up 38% System intrusion remains the top finance breach pattern
Customer trust at onboarding Only 13% feel fully secure opening new accounts Established institutions still face identity and credential abuse pressure
Access risk Fast onboarding creates more identity pressure 22% credential abuse in finance breaches
Breach cost High fraud pressure in digital channels Financial industry breach cost cited at up to $5.56M

This section uses an indirect comparison because public reporting often splits digital channels and finance institutions across different datasets. :contentReference[oaicite:15]{index=15}

Comparison chart: digital-first pressure versus finance system burden
Financial app attack growth38%
Consumers fully secure at account opening13%
Finance credential abuse22%
Finance breach cost index$5.56M

What other fintech tools can support safer financial planning?

Alongside security checks, everyday planning tools can lower avoidable risk by helping people test repayments and borrowing decisions before they act. You can use the Fintech EMI Calculator at Fintech Revo .com, the Fintech Compound Interest Calculator at Fintech Revo .com, the Fintech Simple Interest Calculator at Fintech Revo .com, and the Fintech Loan Eligibility Checker at Fintech Revo .com.

What trends are shaping the future of fintech cybersecurity?

AI is now at the centre of both attack growth and defence spending. Experian says 72% of businesses expect AI-generated fraud to be a top challenge, UK data from Experian says AI-related fraud targeted 35% of businesses in early 2025 versus 23% a year earlier, IBM says 63% of organisations still lack AI governance policies, and its 2025 report says 97% of organisations that reported an AI-related security incident lacked proper AI access controls. :contentReference[oaicite:16]{index=16}

Trend Statistic Source Reference
AI-generated fraud concern 72% of businesses expect it to be a top challenge Experian 2025 U.S. Identity & Fraud Report
AI-related fraud targeting 35% of UK businesses in Q1 2025, up from 23% Experian UK, 2025
Weak AI governance 63% lack AI governance policies IBM Security, 2025
Weak AI access control 97% of firms with AI-related incidents lacked proper controls IBM Security, 2025
Bar chart: future fintech cybersecurity trends
AI-generated fraud seen as top challenge72%
UK firms targeted by AI-related fraud35%
Missing AI governance policies63%
AI incident cases lacking proper access controls97%

FAQs

Q: Is fintech fraud getting worse?

A: Yes. FTC data shows reported fraud losses rose from $10 billion in 2023 to $12.5 billion in 2024. That is a 25% jump in one year. The limit is that FTC figures reflect reported losses, not every loss in the market. :contentReference[oaicite:17]{index=17}

Q: What cyber attack path shows up most often in finance breaches?

A: Credential abuse is the most common finance breach entry vector in Verizon’s 2025 reporting at 22%. Social engineering follows as a major pressure point, with phishing leading that group. The limit is that sector mixes differ by dataset and year. :contentReference[oaicite:18]{index=18}

Q: Are fintech firms spending more on fraud prevention?

A: Yes. Experian says 70% of businesses plan to increase fraud prevention budgets in 2025, and over a third already use AI to fight fraud. IBM also links extensive AI security use to $1.9 million in breach-cost savings. The limit is that spending does not always mean better execution. :contentReference[oaicite:19]{index=19}

Q: Which fintech area loses the most money in current consumer data?

A: Digital payments lead by value in the FTC’s 2024 data, with bank transfers and payments tied to $2.09 billion in reported losses. Cryptocurrency followed at $1.42 billion. The limit is that payment-method data is not the same thing as firm-level breach accounting. :contentReference[oaicite:20]{index=20}

Q: What is the clearest security weak point for fast-growing fintech products?

A: Identity and account access remain the weakest point. Experian says only 13% of consumers feel fully secure opening new accounts online, while Verizon still shows stolen credentials in 22% of breaches reviewed. The limit is that firms with stronger onboarding checks can reduce part of that risk. :contentReference[oaicite:21]{index=21}