# 150+ Deepfake Statistics (March 2026)

[Tamzid \| Cybersecurity Researcher](/content/author/atamzid485gmail-com/index.html)

Updated:

September 16, 2026

Deepfake fraud attempts have surged [**2,137%**](https://www.signicat.com/press-releases/fraud-attempts-with-deepfakes-have-increased-by-2137-over-the-last-three-year) in the last three years, and in 2024, a new deepfake attack was attempted [every five minutes](https://www.entrust.com/resources/reports/identity-fraud-report). The team at Bright Defense has compiled a comprehensive list of up-to-date **150+** valid deepfake statistics for 2025 and 2026. In this article, you’ll find hand-picked statistics about:

- Overall deepfake growth and projections
- Financial impacts and fraud losses
- Identity verification and biometric fraud
- Detection and accuracy challenges
- Targets, platforms, and political use
- Attack vectors and threat actor tactics
- Industry-level deepfake impacts
- Regional and country-level trends
- Major incidents and notable fraud cases
- Organizational readiness and human impact
- Elections and disinformation
- The deepfake detection and AI market

Without further ado, let’s check out the stats!

Table of Contents

01. [Overall Deepfake Growth and Projections](/content/resources/deepfake-statistics/#pp-toc-kth1y7v4nile-anchor-0/index.html)
02. [Deepfake Stats on Financial Impacts and Losses](/content/resources/deepfake-statistics/#pp-toc-kth1y7v4nile-anchor-1/index.html)
03. [Deepfake Stats on Identity Verification and Biometric Fraud](/content/resources/deepfake-statistics/#pp-toc-kth1y7v4nile-anchor-2/index.html)
04. [Deepfake Detection and Accuracy Challenges](/content/resources/deepfake-statistics/#pp-toc-kth1y7v4nile-anchor-3/index.html)
05. [Attack Vectors and Threat Actor Tactics](/content/resources/deepfake-statistics/#pp-toc-kth1y7v4nile-anchor-4/index.html)
06. [Deepfake Targets and Platform Distribution (Q3 2025)](/content/resources/deepfake-statistics/#pp-toc-kth1y7v4nile-anchor-5/index.html)
07. [Industry-Level Deepfake Impacts](/content/resources/deepfake-statistics/#pp-toc-kth1y7v4nile-anchor-6/index.html)
08. [Regional and Country-Level Deepfake Trends](/content/resources/deepfake-statistics/#pp-toc-kth1y7v4nile-anchor-7/index.html)
09. [Deepfake Stats on Elections and Disinformation](/content/resources/deepfake-statistics/#pp-toc-kth1y7v4nile-anchor-8/index.html)
10. [Organizational Readiness and Human Impact](/content/resources/deepfake-statistics/#pp-toc-kth1y7v4nile-anchor-9/index.html)
11. [Deepfake Detection and AI Market Stats](/content/resources/deepfake-statistics/#pp-toc-kth1y7v4nile-anchor-10/index.html)
12. [What Are Deepfakes?](/content/resources/deepfake-statistics/#pp-toc-kth1y7v4nile-anchor-11/index.html)
13. [The Billion-Dollar Impersonation: CEO Fraud and BEC](/content/resources/deepfake-statistics/#pp-toc-kth1y7v4nile-anchor-12/index.html)
14. [Weaponized Voices: The Surge in Voice Cloning Scams](/content/resources/deepfake-statistics/#pp-toc-kth1y7v4nile-anchor-13/index.html)
15. [Why Humans Are Vulnerable To Deepfakes](/content/resources/deepfake-statistics/#pp-toc-kth1y7v4nile-anchor-14/index.html)
16. [The Social Crisis Of Non-Consensual Intimate Imagery (NCII)](/content/resources/deepfake-statistics/#pp-toc-kth1y7v4nile-anchor-15/index.html)
17. [Real-World Impacts Of Deepfake Phishing](/content/resources/deepfake-statistics/#pp-toc-kth1y7v4nile-anchor-16/index.html)
18. [Deepfake Phishing Trends to Watch in 2026](/content/resources/deepfake-statistics/#pp-toc-kth1y7v4nile-anchor-17/index.html)
19. [Why Are Deepfake Phishing Attacks Increasing?](/content/resources/deepfake-statistics/#pp-toc-kth1y7v4nile-anchor-18/index.html)
20. [How To Protect Your Organization Against Deepfake Phishing](/content/resources/deepfake-statistics/#pp-toc-kth1y7v4nile-anchor-19/index.html)
21. [Why Bright Defense Delivers Quality Cybersecurity Compliance Services](/content/resources/deepfake-statistics/#pp-toc-kth1y7v4nile-anchor-20/index.html)
22. [Frequently Asked Questions About Deepfake Statistics](/content/resources/deepfake-statistics/#pp-toc-kth1y7v4nile-anchor-21/index.html)
23. [The Path Forward: Building Resilience in the Synthetic Age](/content/resources/deepfake-statistics/#pp-toc-kth1y7v4nile-anchor-22/index.html)

## Overall Deepfake Growth and Projections

Deepfake growth statistic

01. Deepfake content on social media grew [**550%**](https://www.deloitte.com/us/en/insights/industry/financial-services/deepfake-banking-fraud-risk-on-the-rise.html) between 2019 and 2023. ( [Deloitte](https://www.deloitte.com/us/en/insights/industry/financial-services/deepfake-banking-fraud-risk-on-the-rise.html))
02. Deepfake fraud attempts increased [**2,137%**](https://www.signicat.com/press-releases/fraud-attempts-with-deepfakes-have-increased-by-2137-over-the-last-three-year) over the last three years, rising from **0.1%** to **6.5%** of all fraud attempts. ( [Signicat](https://www.signicat.com/press-releases/fraud-attempts-with-deepfakes-have-increased-by-2137-over-the-last-three-year))
03. Deepfake fraud incidents increased [**tenfold**](https://sumsub.com/newsroom/sumsub-research-global-deepfake-incidents-surge-tenfold-from-2022-to-2023/) between 2022 and 2023, with a **1,740%** surge in North America alone. ( [Sumsub](https://sumsub.com/newsroom/sumsub-research-global-deepfake-incidents-surge-tenfold-from-2022-to-2023/))
04. Voice deepfakes rose [**680%**](https://www.pindrop.com/article/deepfake-fraud-could-surge/) year-over-year in 2024. ( [Pindrop](https://www.pindrop.com/article/deepfake-fraud-could-surge/))
05. Deepfake fraud attempts rose by more than [**1,300%**](https://www.prnewswire.com/news-releases/pindrops-2025-voice-intelligence--security-report-reveals-1-300-surge-in-deepfake-fraud-302479482.html) in 2024, jumping from an average of one per month to seven per day. ( [Pindrop](https://www.prnewswire.com/news-releases/pindrops-2025-voice-intelligence--security-report-reveals-1-300-surge-in-deepfake-fraud-302479482.html))
06. A [**26%**](https://www.pindrop.com/article/deepfake-fraud-could-surge/) increase in fraud attempts was recorded in 2024. ( [Pindrop](https://www.pindrop.com/article/deepfake-fraud-could-surge/))
07. Synthetic voice fraud in insurance rose [**475%**](https://www.pindrop.com/article/deepfake-fraud-could-surge/) in 2024, while banking experienced a **149%** rise. ( [Pindrop](https://www.pindrop.com/article/deepfake-fraud-could-surge/))
08. Deepfake fraud could rise [**162%**](https://www.pindrop.com/article/deepfake-fraud-could-surge/) in 2025. ( [Pindrop](https://www.pindrop.com/article/deepfake-fraud-could-surge/))
09. Deepfakes now account for [**40%**](https://www.entrust.com/blog/2025/03/identity-fraud-is-on-the-rise-but-whats-to-blame) of all biometric fraud. ( [Entrust](https://www.entrust.com/blog/2025/03/identity-fraud-is-on-the-rise-but-whats-to-blame))
10. Digital document forgeries increased [**244%**](https://www.entrust.com/resources/reports/identity-fraud-report) year over year, representing a **1,600%** surge since 2021. ( [Entrust](https://www.entrust.com/resources/reports/identity-fraud-report))
11. From 2017 to 2022, only **22** deepfake incidents were recorded. That number climbed to **42** in 2023, **150** in 2024, and **179** in Q1 2025 alone, surpassing all of 2024 by **19%**.
12. Resemble AI recorded [**2,031**](https://www.resemble.ai/q3-2025-ai-deepfake-security-report/) verified deepfake incidents in Q3 2025 alone. ( [Resemble AI](https://www.resemble.ai/q3-2025-ai-deepfake-security-report/))
13. A [**4x**](https://sumsub.com/blog/fraud-trends-sumsub-fraud-report/) increase in the number of deepfakes detected worldwide from 2023 to 2024 accounted for **7%** of all fraud attempts. ( [Sumsub](https://sumsub.com/blog/fraud-trends-sumsub-fraud-report/))
14. The global rate of identity fraud nearly [doubled](https://sumsub.com/newsroom/sumsub-research-global-deepfake-incidents-surge-tenfold-from-2022-to-2023/) from 2021 to 2023. ( [Sumsub](https://sumsub.com/newsroom/sumsub-research-global-deepfake-incidents-surge-tenfold-from-2022-to-2023/))
15. Roughly **500,000** video and voice deepfakes were shared on social media globally in 2023, a figure estimated to have reached **8 million** by 2025. ( [DeepMedia via Reuters](https://www.reuters.com/technology/deepfaking-it-americas-2024-election-collides-with-ai-boom-2023-05-30/))
16. **49%** of companies globally reported being targeted by audio or video deepfake fraud by 2024. ( [Regula](https://www.businesswire.com/news/home/20241031656724/en/Deepfake-Fraud-Costs-the-Financial-Sector-an-Average-of-600000-for-Each-Company-Regula%E2%80%99s-Survey-Reveals))
17. Credential phishing attacks increased by [**703%**](https://keepnetlabs.com/blog/deepfake-statistics-and-trends) in the second half of 2024, while phishing email messages rose **202%** over the same period. ( [Keepnet](https://keepnetlabs.com/blog/deepfake-statistics-and-trends))
18. Deepfake phone calls are forecast to rise [**155%**](https://www.prnewswire.com/news-releases/pindrops-2025-voice-intelligence--security-report-reveals-1-300-surge-in-deepfake-fraud-302479482.html) in 2025. ( [Pindrop](https://www.prnewswire.com/news-releases/pindrops-2025-voice-intelligence--security-report-reveals-1-300-surge-in-deepfake-fraud-302479482.html))
19. Fraud attempts now occur every [**46 seconds**](https://www.prnewswire.com/news-releases/pindrops-2025-voice-intelligence--security-report-reveals-1-300-surge-in-deepfake-fraud-302479482.html) in contact centers. ( [Pindrop](https://www.prnewswire.com/news-releases/pindrops-2025-voice-intelligence--security-report-reveals-1-300-surge-in-deepfake-fraud-302479482.html))
20. Deepfake face swap attacks used for identity verification bypasses increased [**704%**](https://www.prnewswire.com/news-releases/pindrops-2025-voice-intelligence--security-report-reveals-1-300-surge-in-deepfake-fraud-302479482.html) in 2023. ( [Pindrop](https://www.prnewswire.com/news-releases/pindrops-2025-voice-intelligence--security-report-reveals-1-300-surge-in-deepfake-fraud-302479482.html))
21. **85% of organizations** experienced at least one deepfake-related incident in the past 12 months, expanding the social-engineering attack surface that can lead to credential theft and [data breaches](/content/resources/data-breach-statistics/index.html). ( [IRONSCALES](https://ironscales.com/fall-2025-threat-report))
22. Over [**40%**](https://ironscales.com/fall-2025-threat-report) of those organizations experienced three or more deepfake attacks. ( [IRONSCALES](https://ironscales.com/fall-2025-threat-report))
23. **80%** of deepfake content shared on Telegram channels is pornographic. ( [Keepnet](https://keepnetlabs.com/blog/deepfake-statistics-and-trends))
24. **96–98%** of all deepfake content online is non-consensual explicit imagery, and **99–100%** of victims are female. ( [Keepnet](https://keepnetlabs.com/blog/deepfake-statistics-and-trends))
25. Deepfakes now account for **1** in **5** biometric fraud attempts, increasing [compliance risk](/content/resources/what-is-compliance-and-risk-management/index.html) for organizations that rely on identity verification for KYC, AML, and secure customer onboarding. ( [entrust](https://www.entrust.com/resources/reports/identity-fraud-report?%3Butm_campaign=701So00000aCYzVIAW))

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## Deepfake Stats on Financial Impacts and Losses

Financial Cost of Deepfake Scams

25. Generative AI fraud in the U.S. is expected to hit [**$40 billion**](https://www.deloitte.com/us/en/insights/industry/financial-services/deepfake-banking-fraud-risk-on-the-rise.html) by 2027, up from **$12.3 billion** in 2023, a compound annual growth rate of **32%**. ( [Deloitte](https://www.deloitte.com/us/en/insights/industry/financial-services/deepfake-banking-fraud-risk-on-the-rise.html))
26. In 2024, businesses lost an average of nearly [**$500,000**](https://keepnetlabs.com/blog/deepfake-statistics-and-trends) per deepfake-related incident. Some large enterprises experienced losses up to **$680,000**. ( [Keepnet](https://keepnetlabs.com/blog/deepfake-statistics-and-trends))
27. IRONSCALES’ 2025 report found mean losses exceeding [**$280,000**](https://ironscales.com/fall-2025-threat-report) per deepfake incident. ( [IRONSCALES](https://ironscales.com/fall-2025-threat-report))
28. [**61%**](https://ironscales.com/fall-2025-threat-report) of organizations that lost money in a deepfake attack reported losses over **$100,000**. ( [IRONSCALES](https://ironscales.com/fall-2025-threat-report))
29. Nearly [**19%**](https://ironscales.com/fall-2025-threat-report) of those organizations reported losses of **$500,000** or more, and over **5%** lost **$1 million** or more. ( [IRONSCALES](https://ironscales.com/fall-2025-threat-report))
30. About [**55%**](https://ironscales.com/fall-2025-threat-report) of organizations reported financial losses from deepfake or AI-voice fraud in the past 12 months. ( [IRONSCALES](https://ironscales.com/fall-2025-threat-report))
31. Contact center fraud could reach [**$44.5 billion**](https://www.pindrop.com/article/deepfake-fraud-could-surge/) in 2025. ( [Pindrop](https://www.pindrop.com/article/deepfake-fraud-could-surge/))
32. The FBI counted [**21,832**](https://www.deloitte.com/us/en/insights/industry/financial-services/deepfake-banking-fraud-risk-on-the-rise.html) business email fraud cases in 2022, producing about **$2.7 billion** in losses. ( [Deloitte](https://www.deloitte.com/us/en/insights/industry/financial-services/deepfake-banking-fraud-risk-on-the-rise.html))
33. Deloitte estimates GenAI email fraud losses could reach [**$11.5 billion**](https://www.deloitte.com/us/en/insights/industry/financial-services/deepfake-banking-fraud-risk-on-the-rise.html) by 2027 under an aggressive adoption scenario. ( [Deloitte](https://www.deloitte.com/us/en/insights/industry/financial-services/deepfake-banking-fraud-risk-on-the-rise.html))
34. Financial losses from deepfake-enabled fraud exceeded [**$200 million**](https://escalatepr.com/resemble-ai-variety-deepfake-report-2025/) during Q1 2025 in North America. ( [Resemble AI via Variety](https://escalatepr.com/resemble-ai-variety-deepfake-report-2025/))
35. [**385**](https://www.resemble.ai/q3-2025-ai-deepfake-security-report/) incidents in Resemble AI’s Q3 2025 data involved direct financial losses. ( [Resemble AI](https://www.resemble.ai/q3-2025-ai-deepfake-security-report/))
36. **77%** of victims targeted by a voice clone and who confirmed financial loss reported a monetary loss. More than half of those targeted lost money, and about one-third lost over **$1,000**. ( [McAfee](https://www.mcafee.com/blogs/privacy-identity-protection/artificial-imposters-cybercriminals-turn-to-ai-voice-cloning-for-a-new-breed-of-scam/))
37. Deepfake incidents in fintech increased [**700%**](https://www.deloitte.com/us/en/insights/industry/financial-services/deepfake-banking-fraud-risk-on-the-rise.html) in 2023. ( [Deloitte](https://www.deloitte.com/us/en/insights/industry/financial-services/deepfake-banking-fraud-risk-on-the-rise.html))
38. The cryptocurrency sector saw deepfake-related incidents rise [**654%**](https://sumsub.com/blog/fraud-trends-sumsub-fraud-report/) from 2023 to 2024. Crypto platforms saw the highest rate of fraudulent activity attempts, rising **50%** year-over-year from **6.4%** in 2023 to **9.5%** in 2024. ( [Sumsub](https://sumsub.com/blog/fraud-trends-sumsub-fraud-report/))
39. Dark web scamming software is sold from about [**$20**](https://www.deloitte.com/us/en/insights/industry/financial-services/deepfake-banking-fraud-risk-on-the-rise.html) to thousands of dollars, lowering the barrier to entry for deepfake scams. ( [Deloitte](https://www.deloitte.com/us/en/insights/industry/financial-services/deepfake-banking-fraud-risk-on-the-rise.html))
40. **88%** of all deepfake cases detected in 2023 were concentrated in the crypto sector. ( [Sumsub](https://sumsub.com/newsroom/sumsub-research-global-deepfake-incidents-surge-tenfold-from-2022-to-2023/))
41. Global scam losses across all AI-enabled fraud reached [**$1 trillion**](https://sift.com/index-reports-ai-fraud-q2-2025/) in 2024. ( [Sift](https://sift.com/index-reports-ai-fraud-q2-2025/))
42. [**33%**](https://sift.com/index-reports-ai-fraud-q2-2025/) of consumers say someone attempted to scam them using AI, up from **29%** the previous year, and **27%** of those targeted were successfully defrauded, up from **19%**. ( [Sift](https://sift.com/index-reports-ai-fraud-q2-2025/))
43. **57%** of crypto firms faced audio deepfake incidents in 2024, with average losses around **$440,000**. ( [Regula](https://www.businesswire.com/news/home/20241031656724/en/Deepfake-Fraud-Costs-the-Financial-Sector-an-Average-of-600000-for-Each-Company-Regula%E2%80%99s-Survey-Reveals))

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## Deepfake Stats on Identity Verification and Biometric Fraud

types of Deepfake content

44. Deepfakes now account for **40% of biometric fraud**, increasing authentication and identity-verification risk for organizations maintaining [SOC 2](/content/resources/what-is-soc-2/index.html) logical access and security controls. ( [Entrust](https://www.entrust.com/blog/2025/03/identity-fraud-is-on-the-rise-but-whats-to-blame))
45. Deepfakes comprise [**24%**](https://www.infosecurity-magazine.com/news/deepfake-identity-attack-every/) of fraudulent attempts to pass motion-based biometrics checks. ( [Entrust via Infosecurity Magazine](https://www.infosecurity-magazine.com/news/deepfake-identity-attack-every/))
46. Cryptocurrency ranked as the [most targeted industry](https://www.entrust.com/resources/reports/identity-fraud-report), followed by lending and traditional banks. ( [Entrust](https://www.entrust.com/resources/reports/identity-fraud-report))
47. National ID cards were identified as the [most vulnerable document type](https://www.entrust.com/resources/reports/identity-fraud-report). ( [Entrust](https://www.entrust.com/resources/reports/identity-fraud-report))
48. Digital document forgery surpassed physical counterfeits for the first time in 2024, with [digital forgeries accounting for **57%**](https://www.entrust.com/company/newsroom/deepfake-attacks-strike-every-five-minutes-amid-244-surge-in-digital-document-forgeries) of all document fraud. ( [Entrust](https://www.entrust.com/company/newsroom/deepfake-attacks-strike-every-five-minutes-amid-244-surge-in-digital-document-forgeries))
49. **42.5%** of fraud attempts detected in the financial sector are now AI-driven. ( [Signicat](https://www.signicat.com/press-releases/fraud-attempts-with-deepfakes-have-increased-by-2137-over-the-last-three-year))
50. Only [**22%**](https://www.signicat.com/press-releases/only-22-of-organisations-have-implemented-measures-to-prevent-ai-driven-identity-fraud) of financial institutions have implemented AI-based fraud prevention tools. ( [Signicat](https://www.signicat.com/press-releases/only-22-of-organisations-have-implemented-measures-to-prevent-ai-driven-identity-fraud))
51. Biometric authentication systems endure [three times fewer](https://keepnetlabs.com/blog/deepfake-statistics-and-trends) fraudulent attempts than document-based systems. ( [Keepnet](https://keepnetlabs.com/blog/deepfake-statistics-and-trends))
52. Gartner predicts that by 2026, **30%** of enterprises will no longer rely solely on identity verification to prevent fraud. ( [Keepnet](https://keepnetlabs.com/blog/deepfake-statistics-and-trends))

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## Deepfake Detection and Accuracy Challenges

Public Struggles With Deepfakes And Voice Cloning Detection

53. Human detection rates for high-quality video deepfakes are just [**24.5%**](https://keepnetlabs.com/blog/deepfake-statistics-and-trends). ( [Keepnet](https://keepnetlabs.com/blog/deepfake-statistics-and-trends))
54. A 2025 iProov study found that only [**0.1%** of participants](https://www.iproov.com/press/study-reveals-deepfake-blindspot-detect-ai-generated-content) correctly identified all fake and real media shown to them. ( [iProov](https://www.iproov.com/press/study-reveals-deepfake-blindspot-detect-ai-generated-content))
55. Participants were [**36% less likely**](https://www.iproov.com/press/study-reveals-deepfake-blindspot-detect-ai-generated-content) to correctly identify a synthetic video compared to a synthetic image. ( [iProov](https://www.iproov.com/press/study-reveals-deepfake-blindspot-detect-ai-generated-content))
56. A 2024 meta-analysis of 56 studies found that overall human deepfake detection accuracy averages [**55.54%**](https://www.sciencedirect.com/science/article/pii/S2451958824001714) across modalities, barely above chance. ( [ScienceDirect](https://www.sciencedirect.com/science/article/pii/S2451958824001714))
57. **70%** of people said they are not confident they can tell the difference between a real and cloned voice. ( [McAfee](https://www.mcafee.com/))
58. **68%** of deepfakes are now “nearly indistinguishable from genuine media.” ( [Keepnet](https://keepnetlabs.com/blog/deepfake-statistics-and-trends))
59. The effectiveness of defensive AI detection tools drops by **45–50%** when used against real-world deepfakes outside controlled lab conditions. ( [World Economic Forum](https://www.weforum.org/stories/2025/02/deepfake-ai-cybercrime-arup/))
60. Advanced multi-modal detection systems achieve **94–96%** accuracy under controlled conditions, but widely available detection technology catches only about **65%** of deepfakes. ( [World Economic Forum](https://www.weforum.org/stories/2025/02/deepfake-ai-cybercrime-arup/))
61. Voice cloning now requires only [**20–30 seconds of audio**](https://www.softwareseni.com/how-ai-voice-cloning-and-deepfake-technology-actually-works/) to produce a convincing replica of a target’s voice. ( [SoftwareSeni](https://www.softwareseni.com/how-ai-voice-cloning-and-deepfake-technology-actually-works/))
62. A convincing 60-second deepfake video can be created in [under **25 minutes** at zero cost](https://www.securityhero.io/state-of-deepfakes/) using freely available tools. ( [Security Hero](https://www.securityhero.io/state-of-deepfakes/))
63. **84%** of respondents familiar with generative AI said AI-generated content [should always be clearly labeled](https://www.deloitte.com/us/en/insights/industry/financial-services/deepfake-banking-fraud-risk-on-the-rise.html). ( [Deloitte](https://www.deloitte.com/us/en/insights/industry/financial-services/deepfake-banking-fraud-risk-on-the-rise.html))
64. [**71%**](https://www.iproov.com/blog/deepfakes-statistics-solutions-biometric-protection) of people worldwide do not know what deepfakes are. ( [iProov](https://www.iproov.com/blog/deepfakes-statistics-solutions-biometric-protection))
65. The deepfake detection market is expected to grow [**42% annually**](https://www.deloitte.com/us/en/insights/industry/financial-services/deepfake-banking-fraud-risk-on-the-rise.html), rising from **$5.5 billion** in 2023 to **$15.7 billion** by 2026. ( [Deloitte](https://www.deloitte.com/us/en/insights/industry/financial-services/deepfake-banking-fraud-risk-on-the-rise.html))

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## Attack Vectors and Threat Actor Tactics

DIGITAL vs PHYSICAL DOCUMENT FRAUD BREAKDOWN

66. Email-based deepfake attacks and static image manipulation are tied as the most common threat vectors at [**59.3%**](https://ironscales.com/fall-2025-threat-report) each. ( [IRONSCALES](https://ironscales.com/fall-2025-threat-report))
67. Recorded audio/voice deepfakes rose from **25%** of organizations encountering them in 2024 to [**52%**](https://ironscales.com/fall-2025-threat-report) in 2025. ( [IRONSCALES](https://ironscales.com/fall-2025-threat-report))
68. Recorded video deepfakes climbed from **33%** in 2024 to [**46%**](https://ironscales.com/fall-2025-threat-report) in 2025. ( [IRONSCALES](https://ironscales.com/fall-2025-threat-report))
69. Live video manipulation increased from **30%** to [**41%**](https://ironscales.com/fall-2025-threat-report) year-over-year, with live voice deepfakes showing identical growth. ( [IRONSCALES](https://ironscales.com/fall-2025-threat-report))
70. AI-generated phishing emails achieve **54%** click-through compared with **12%** for manually crafted phishing. ( [Keepnet](https://keepnetlabs.com/blog/deepfake-statistics-and-trends))
71. **82%** of phishing emails are now generated by [AI tools](https://sift.com/index-reports-ai-fraud-q2-2025/). ( [Sift](https://sift.com/index-reports-ai-fraud-q2-2025/))
72. Open-source tool DeepFaceLab powers over **95%** of deepfake videos. ( [Keepnet](https://keepnetlabs.com/blog/deepfake-statistics-and-trends))
73. Only **3 seconds** of audio can generate an **85%** accurate voice clone. ( [McAfee](https://www.mcafee.com/blogs/privacy-identity-protection/artificial-imposters-cybercriminals-turn-to-ai-voice-cloning-for-a-new-breed-of-scam/))
74. **53%** of people share their voice online at least weekly via YouTube, social media, or podcasts. ( [McAfee](https://www.mcafee.com/blogs/privacy-identity-protection/artificial-imposters-cybercriminals-turn-to-ai-voice-cloning-for-a-new-breed-of-scam/))
75. Searches for “free voice cloning software” increased **120%** between July 2023 and July 2024. ( [Keepnet](https://keepnetlabs.com/blog/deepfake-statistics-and-trends))
76. Fraudsters use [**36%** more payment methods](https://sift.com/index-reports-ai-fraud-q2-2025/) than legitimate users and **82%** more in digital commerce, while using **20%** fewer IP addresses. ( [Sift](https://sift.com/index-reports-ai-fraud-q2-2025/))
77. Peak deepfake fraud activity occurs during late-night hours between [**10 p.m. and 5 a.m.**](https://sift.com/index-reports-ai-fraud-q2-2025/) local time. ( [Sift](https://sift.com/index-reports-ai-fraud-q2-2025/))
78. [Phishing reports increased **466%**](https://sift.com/index-reports-ai-fraud-q2-2025/), AI-enabled scams rose **456%**, and compromised personal data surged **186%** in Q1 2025. ( [Sift](https://sift.com/index-reports-ai-fraud-q2-2025/))
79. Blocked scam content increased [**50%**](https://sift.com/index-reports-ai-fraud-q2-2025/) in Q1 2025 compared with Q1 2024. ( [Sift](https://sift.com/index-reports-ai-fraud-q2-2025/))

**Phishing remains one of the biggest cyber threat vectors. Check out these [200+ phishing statistics.](/content/resources/phishing-statistics/index.html)**

## Deepfake Targets and Platform Distribution (Q3 2025)

80. **48.7%** of Q3 2025 deepfake incidents targeted celebrities and public figures. ( [Resemble AI](https://www.resemble.ai/q3-2025-ai-deepfake-security-report/))
81. **48.3%** targeted businesses. ( [Resemble AI](https://www.resemble.ai/q3-2025-ai-deepfake-security-report/))
82. Women were targeted [**4.5 times**](https://www.resemble.ai/q3-2025-ai-deepfake-security-report/) more often than men in individual-target deepfakes. ( [Resemble AI](https://www.resemble.ai/q3-2025-ai-deepfake-security-report/))
83. **34.6%** of targets were female, **7.7%** male, and **50%** were non-person targets. ( [Resemble AI](https://www.resemble.ai/q3-2025-ai-deepfake-security-report/))
84. **331** incidents in Q3 2025 involved minors, representing **16.3%** of all cases. ( [Resemble AI](https://www.resemble.ai/q3-2025-ai-deepfake-security-report/))
85. Will Smith: **24** incidents. ( [Resemble AI](https://www.resemble.ai/q3-2025-ai-deepfake-security-report/))
86. Barack Obama: **15** incidents. ( [Resemble AI](https://www.resemble.ai/q3-2025-ai-deepfake-security-report/))
87. Donald Trump: **13** incidents. ( [Resemble AI](https://www.resemble.ai/q3-2025-ai-deepfake-security-report/))
88. Marco Rubio: **10** incidents. ( [Resemble AI](https://www.resemble.ai/q3-2025-ai-deepfake-security-report/))
89. Alexandria Ocasio-Cortez: **7** incidents. ( [Resemble AI](https://www.resemble.ai/q3-2025-ai-deepfake-security-report/))
90. LeBron James: **6** incidents. ( [Resemble AI](https://www.resemble.ai/q3-2025-ai-deepfake-security-report/))
91. Taylor Swift: **5** incidents. ( [Resemble AI](https://www.resemble.ai/q3-2025-ai-deepfake-security-report/))
92. YouTube: [**29.9%**](https://www.resemble.ai/q3-2025-ai-deepfake-security-report/) of tracked cases. ( [Resemble AI](https://www.resemble.ai/q3-2025-ai-deepfake-security-report/))
93. Instagram: **26.8%**. ( [Resemble AI](https://www.resemble.ai/q3-2025-ai-deepfake-security-report/))
94. Facebook: **18.8%**. ( [Resemble AI](https://www.resemble.ai/q3-2025-ai-deepfake-security-report/))
95. TikTok: **18.3%**. ( [Resemble AI](https://www.resemble.ai/q3-2025-ai-deepfake-security-report/))
96. WhatsApp: **6.3%**. ( [Resemble AI](https://www.resemble.ai/q3-2025-ai-deepfake-security-report/))
97. [**482**](https://www.resemble.ai/q3-2025-ai-deepfake-security-report/) politically motivated deepfake incidents in Q3 2025, representing **23.7%** of all cases. ( [Resemble AI](https://www.resemble.ai/q3-2025-ai-deepfake-security-report/))

## Industry-Level Deepfake Impacts

Deepfake Fraud Growth by Industry

98. **88%** of deepfake fraud cases occurred in cryptocurrency in 2023, with fintech accounting for **8%**. ( [Sumsub](https://sumsub.com/newsroom/sumsub-research-global-deepfake-incidents-surge-tenfold-from-2022-to-2023/))
99. In 2024, crypto deepfake fraud attempts constituted **9.5%** of identity fraud, lending and mortgage industries **5.4%**, and traditional banks **5.3%**. ( [Entrust](https://www.entrust.com/resources/reports/identity-fraud-report))
100. Sumsub’s Q1 2024 report recorded deepfake incidents increasing **1,520%** in iGaming, **900%** in online marketplaces, **533%** in fintech, **217%** in crypto, **138%** in consulting, and **68%** in online media. ( [Sumsub](https://sumsub.com/blog/fraud-trends-sumsub-fraud-report/))
101. **53%** of finance professionals reported being targeted by deepfake scams, and **43%** admitted falling for one. ( [Keepnet](https://keepnetlabs.com/blog/deepfake-statistics-and-trends))
102. **25.9%** of executives experienced at least one deepfake incident. ( [Keepnet](https://keepnetlabs.com/blog/deepfake-statistics-and-trends))
103. Retail contact centers saw a **100%** rise in deepfake fraud, with [one fraudulent call now occurring every **127** calls](https://www.prnewswire.com/news-releases/pindrops-2025-voice-intelligence--security-report-reveals-1-300-surge-in-deepfake-fraud-302479482.html), five times more frequent than in financial institutions. ( [Pindrop](https://www.prnewswire.com/news-releases/pindrops-2025-voice-intelligence--security-report-reveals-1-300-surge-in-deepfake-fraud-302479482.html))
104. In 2025, retail contact centers could see deepfake fraud calls increase to [one every **56** calls](https://www.prnewswire.com/news-releases/pindrops-2025-voice-intelligence--security-report-reveals-1-300-surge-in-deepfake-fraud-302479482.html). ( [Pindrop](https://www.prnewswire.com/news-releases/pindrops-2025-voice-intelligence--security-report-reveals-1-300-surge-in-deepfake-fraud-302479482.html))
105. **80%** of professionals consider deepfakes a business risk, yet only **29%** have implemented mitigation measures and **46%** have no mitigation plan. ( [Eftsure](https://www.eftsure.com/statistics/deepfake-statistics/))
106. **92%** of executives are concerned about risks from generative AI. ( [Eftsure](https://www.eftsure.com/statistics/deepfake-statistics/))

## Regional and Country-Level Deepfake Trends

Deepfake Surge in North America

107. North America recorded a [**1,740%**](https://sumsub.com/newsroom/sumsub-research-global-deepfake-incidents-surge-tenfold-from-2022-to-2023/) increase in deepfake fraud between 2022 and 2023. ( [Sumsub](https://sumsub.com/newsroom/sumsub-research-global-deepfake-incidents-surge-tenfold-from-2022-to-2023/))
108. The Asia-Pacific region saw a **1,530%** increase in deepfake fraud during the same period. ( [Sumsub](https://sumsub.com/newsroom/sumsub-research-global-deepfake-incidents-surge-tenfold-from-2022-to-2023/))
109. Sumsub’s Q1 2024 data showed deepfake incidents jumped **303%** in the U.S. and **280%** in India. ( [Sumsub](https://sumsub.com/blog/fraud-trends-sumsub-fraud-report/))
110. South Africa and Mexico each recorded **500%** increases in deepfakes. ( [Sumsub](https://sumsub.com/blog/fraud-trends-sumsub-fraud-report/))
111. South Korea exhibited the highest deepfake fraud growth globally at **1,625%**. ( [Sumsub](https://sumsub.com/blog/fraud-trends-sumsub-fraud-report/))
112. Bulgaria saw a **3,000%** spike; Portugal **1,700%**; Indonesia **1,550%**; Turkey **1,533%**; Singapore **1,100%**; Hong Kong **1,000%**; Moldova **900%**; Brazil **822%**; Belgium **800%**. ( [Sumsub](https://sumsub.com/blog/fraud-trends-sumsub-fraud-report/))
113. Middle East deepfake incidents increased **643%**, Africa **393%**, and Latin America & the Caribbean **255%**. ( [Sumsub](https://sumsub.com/blog/fraud-trends-sumsub-fraud-report/))
114. Some nations saw declines: the UK’s deepfake incidents fell **10%**; Croatia **33%**; Ireland **40%**; Lithuania **44%**. ( [Sumsub](https://sumsub.com/blog/fraud-trends-sumsub-fraud-report/))
115. GenAI-enabled fraud losses in the U.S. could rise from **$12.3 billion** in 2023 to [**$40 billion**](https://www.deloitte.com/us/en/insights/industry/financial-services/deepfake-banking-fraud-risk-on-the-rise.html) by 2027. ( [Deloitte](https://www.deloitte.com/us/en/insights/industry/financial-services/deepfake-banking-fraud-risk-on-the-rise.html))
116. Financial losses from deepfake-enabled fraud exceeded [**$200 million**](https://escalatepr.com/resemble-ai-variety-deepfake-report-2025/) during Q1 2025 in North America. ( [Resemble AI](https://escalatepr.com/resemble-ai-variety-deepfake-report-2025/))
117. **46 U.S. states** have enacted deepfake legislation since 2022, with **146 bills** introduced in 2025 alone.
118. The federal TAKE IT DOWN Act became law in May 2025.
119. **67.5%** of U.S. consumers express concerns about deepfake and voice-clone threats in banking. ( [Pindrop](https://www.pindrop.com/article/deepfake-fraud-could-surge/))
120. The UK experienced a [**300%**](https://sumsub.com/newsroom/sumsub-research-global-deepfake-incidents-surge-tenfold-from-2022-to-2023/) rise in deepfake cases from 2022 to 2023, rising to **780%** across Europe. ( [Sumsub](https://sumsub.com/newsroom/sumsub-research-global-deepfake-incidents-surge-tenfold-from-2022-to-2023/))
121. In the first half of 2023, Britain lost **£580 million** to fraud, with **£43.5 million** stolen through impersonations using deepfakes.
122. [**£6.9 million**](https://www.ukfinance.org.uk/system/files/2023-10/Half%20year%20fraud%20update%202023.pdf) was lost to CEO impersonation fraud in the first half of 2023. ( [UK Finance](https://www.ukfinance.org.uk/system/files/2023-10/Half%20year%20fraud%20update%202023.pdf))
123. In 2019, a UK energy firm was defrauded of [**€220,000**](https://keepnetlabs.com/blog/deepfake-statistics-and-trends) via a deepfaked voice clone of its CEO. ( [Keepnet](https://keepnetlabs.com/blog/deepfake-statistics-and-trends))
124. UK organizations reporting AI-driven fraud attempts jumped from [**23%** in 2024 to **35%**](https://www.experianplc.com/newsroom/press-releases/2025/new-report-from-experian-reveals-surge-in-ai-driven-fraud-) in early 2025. ( [Experian](https://www.experianplc.com/newsroom/press-releases/2025/new-report-from-experian-reveals-surge-in-ai-driven-fraud-))
125. More than [**100** deepfake video ads](https://www.fenimoreharper.com/research/deepfake-political-advertising) impersonating PM Rishi Sunak appeared on Meta in a single month. ( [Fenimore Harper](https://www.fenimoreharper.com/research/deepfake-political-advertising))

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## Deepfake Stats on Elections and Disinformation

126. Between December 8, 2023 and January 8, 2024, researchers identified more than [**100 deepfake video ads**](https://www.weforum.org/stories/2025/02/deepfake-ai-cybercrime-arup/) impersonating UK Prime Minister Rishi Sunak on Meta. ( [World Economic Forum](https://www.weforum.org/stories/2025/02/deepfake-ai-cybercrime-arup/))
127. [NewsGuard](https://www.newsguardtech.com/special-reports/2024-elections-misinformation-tracker/) debunked false election claims pushed across more than **370 sites** in 2024. ( [NewsGuard](https://www.newsguardtech.com/special-reports/2024-elections-misinformation-tracker/))
128. NewsGuard identified approximately [**9 new election-related false claims**](https://www.newsguardtech.com/special-reports/2024-elections-misinformation-tracker/) per week and cataloged **100** false claims circulating online between September 1 and November 18, 2024. ( [NewsGuard](https://www.newsguardtech.com/special-reports/2024-elections-misinformation-tracker/))
129. A WEF contributor cited an automated disinformation project built with [widely available AI tools for less than **$400** per month](https://www.weforum.org/stories/2025/02/deepfake-ai-cybercrime-arup/). ( [World Economic Forum](https://www.weforum.org/stories/2025/02/deepfake-ai-cybercrime-arup/))
130. In January 2024, thousands of New Hampshire voters received a robocall with a deepfaked voice resembling President Biden urging them not to vote. The free voice-cloning tool cost **$1** and took under **20 minutes** to produce. ( [Keepnet](https://keepnetlabs.com/blog/deepfake-statistics-and-trends))

## Organizational Readiness and Human Impact

Deepfake Detection & Response Gaps in Organizations

131. [**88%**](https://ironscales.com/fall-2025-threat-report) of organizations have implemented deepfake-specific cybersecurity training, up from **68%** in 2024. ( [IRONSCALES](https://ironscales.com/fall-2025-threat-report))
132. Only [**8.4%**](https://ironscales.com/fall-2025-threat-report) of organizations achieved simulation pass rates above **80%** during deepfake exercises. ( [IRONSCALES](https://ironscales.com/fall-2025-threat-report))
133. The average first-try pass rate in deepfake simulations is just **44%**, showing why [social engineering penetration testing](/content/resources/social-engineering-penetration-testing/index.html) should include AI-driven impersonation scenarios to validate employee verification and response controls. ( [IRONSCALES](https://ironscales.com/fall-2025-threat-report))
134. **74%** of organizations recorded simulation pass rates below **60%**. ( [IRONSCALES](https://ironscales.com/fall-2025-threat-report))
135. [**63%**](https://ironscales.com/fall-2025-threat-report) of respondents had not yet invested in deepfake defense, though **71%** plan to make it a top priority within **12–18 months**. ( [IRONSCALES](https://ironscales.com/fall-2025-threat-report))
136. [**80%**](https://ironscales.com/fall-2025-threat-report) of boards requested briefings on AI-generated deepfake risk within the past year. ( [IRONSCALES](https://ironscales.com/fall-2025-threat-report))
137. **99%** of respondents claim confidence in their deepfake defenses, yet over [**63%**](https://ironscales.com/fall-2025-threat-report) described themselves as “very concerned” about the threats, a **15+ percentage point** increase from the previous year. ( [IRONSCALES](https://ironscales.com/fall-2025-threat-report))
138. **80%** of companies lack formal protocols to respond to deepfake attacks. ( [Keepnet](https://keepnetlabs.com/blog/deepfake-statistics-and-trends))
139. More than **50%** of business leaders admit employees have never received training on identifying deepfakes. ( [Keepnet](https://keepnetlabs.com/blog/deepfake-statistics-and-trends))
140. Only **5%** of companies have a comprehensive deepfake prevention strategy. ( [Keepnet](https://keepnetlabs.com/blog/deepfake-statistics-and-trends))
141. **25%** of company leaders have little to no understanding of deepfake technology. ( [Keepnet](https://keepnetlabs.com/blog/deepfake-statistics-and-trends))
142. **32%** of leaders lack confidence in employees’ ability to detect or respond to deepfakes. ( [Keepnet](https://keepnetlabs.com/blog/deepfake-statistics-and-trends))
143. **72%** of consumers are constantly worried about being deceived by deepfakes. ( [Keepnet](https://keepnetlabs.com/blog/deepfake-statistics-and-trends))
144. **47%** of incident responders reported burnout, and **69%** considered leaving their jobs. ( [VMware](https://news.vmware.com/releases/vmware-report-warns-of-deepfake-attacks-and-cyber-extortion))
145. [**66%**](https://news.vmware.com/releases/vmware-report-warns-of-deepfake-attacks-and-cyber-extortion) of cybersecurity professionals encountered deepfake incidents in 2022, a **13%** increase from the prior year. ( [VMware](https://news.vmware.com/releases/vmware-report-warns-of-deepfake-attacks-and-cyber-extortion))

## Deepfake Detection and AI Market Stats

145. The Generative AI market is projected to reach approximately [**$400 billion**](https://www.statista.com/outlook/tmo/artificial-intelligence/generative-ai/worldwide) by 2031, with a CAGR of **37.57%** between 2025 and 2031. ( [Statista](https://www.statista.com/outlook/tmo/artificial-intelligence/generative-ai/worldwide))
146. Analysts expect the deepfake detection market to grow [**42% annually**](https://www.deloitte.com/us/en/insights/industry/financial-services/deepfake-banking-fraud-risk-on-the-rise.html), rising from **$5.5 billion** in 2023 to **$15.7 billion** in 2026. ( [Deloitte](https://www.deloitte.com/us/en/insights/industry/financial-services/deepfake-banking-fraud-risk-on-the-rise.html))
147. **46%** of fraud experts have encountered synthetic identity fraud, **37%** voice deepfakes, and **29%** video deepfakes. ( [Statista](https://www.statista.com/topics/10408/generative-artificial-intelligence/))
148. Mastercard’s fraud tooling scans [**1 trillion**](https://www.deloitte.com/us/en/insights/industry/financial-services/deepfake-banking-fraud-risk-on-the-rise.html) data points per transaction to judge whether it is genuine. ( [Deloitte](https://www.deloitte.com/us/en/insights/industry/financial-services/deepfake-banking-fraud-risk-on-the-rise.html))
149. Google’s SynthID has watermarked over **10 billion** pieces of content with pixel-level signals designed to survive compression and editing. (Google)
150. The deepfake AI market was valued at approximately [**$765 million** in 2024](https://www.grandviewresearch.com/industry-analysis/deepfake-ai-market-report) and is projected to grow to **$19.8 billion** by 2033. ( [Grand View Research](https://www.grandviewresearch.com/industry-analysis/deepfake-ai-market-report))
151. The global deepfake market overall is projected to reach **$13.9 billion** by 2032 with a **42.79%** CAGR. ( [Keepnet](https://keepnetlabs.com/blog/deepfake-statistics-and-trends))

Check Out More Stat Based Articles by Bright Defense:

- [350 Cybersecurity Compliance Statistics for 2026](/content/resources/cybersecurity-compliance-statistics/index.html)
- [80+ Zero Day Exploit Stats for 2026](/content/resources/zero-day-exploit-statistics/index.html)
- [120+ Penetration Testing Statistics](/content/resources/penetration-testing-statistics/index.html)

## What Are Deepfakes?

Deepfakes are AI-generated images, videos, or audio that realistically imitate real people or events that never happened. They use deep learning models trained on large datasets to replicate faces, voices, and movements with high accuracy. This technology supports creative and commercial uses, while it can enable misinformation, fraud, and impersonation when misused.

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## The Billion-Dollar Impersonation: CEO Fraud and BEC

Corporate fraud through CEO impersonation, a high-value subset of [whaling in cybersecurity](/content/resources/what-is-whaling-in-cybersecurity/index.html), represents one of the most dangerous applications of deepfake technology. Attackers impersonate CEOs, CFOs, and other executives to trick finance workers into authorizing large wire transfers.

The results have been catastrophic for victims, and the number of deepfake-related incidents targeting company leaders continues to climb. CEO fraud now targets at least [**400**](https://keepnetlabs.com/blog/deepfake-statistics-and-trends) companies per day.

Below are examples of costly deepfake frauds that made headlines:

### 1\. **$25M Deepfake Heist Fooled Arup Staff Fast**

**Breach Disclosed: 16 May, 2024**

In [**January 2024**](https://www.sequenxa.com/blog/deepfake-scam-how-criminals-stole-25-million-from-arup), attackers executed a highly convincing deepfake scam against Arup, leading to **15** fraudulent transfers totaling **$25.6 million** in a single day. A finance employee in Hong Kong received a phishing email impersonating the CFO, followed by a video call where every participant was an AI-generated executive.

The employee authorized the transfers under perceived executive direction. The fraud surfaced during internal verification, prompting immediate escalation to authorities. Investigations remain ongoing, no arrests have been reported, and funds remain unrecovered as of [**early 2025**](https://purplesec.us/breach-report/arup-deepfake/). ( [PurpleSec](https://purplesec.us/breach-report/arup-deepfake/))

### **Ferrari CEO Voice Clone Scam Nearly Cost Millions**

**Breach Disclosed:** [**26 Jul, 2024**](https://newsroom.cisco.com/c/dam/r/newsroom/daily-news/24_07_26-Ferrari_Narrowly_Dodges_Deepfake_Scam_Simulating_Deal-Hungry_CEO-Bloomberg.pdf)

In [**July 2024**](https://www.motor1.com/news/728264/ferrari-ceo-deepfake-voice-phone/), Ferrari narrowly avoided a deepfake-enabled fraud attempt where attackers impersonated CEO Benedetto Vigna using AI-generated voice cloning during a WhatsApp call. The scam targeted a senior executive with urgent requests tied to a confidential acquisition and a potential financial transaction.

The attacker’s voice closely matched Vigna’s accent, increasing credibility. The attempt failed when the executive challenged the caller with a personal verification question, forcing the attacker to disconnect. No funds were transferred, and Ferrari launched an internal investigation immediately after the incident. ( [motor1.com](https://www.motor1.com/news/728264/ferrari-ceo-deepfake-voice-phone/))

### **AU$37M Deepfake Scam Revives €220K Warning**

**Breach Disclosed: 28 Aug, 2024**

In the closest verified public timeline, Australian authorities highlighted in **2024** a business loss of **AU$37 million**, about **US$25 million**, from a single deepfake scam that used executive impersonation to trigger fraudulent transfers. The tactic mirrors the early corporate warning from [**2019**](https://www.icaew.com/insights/viewpoints-on-the-news/2025/jan-2025/how-to-guard-against-voice-cloning-and-deepfake-scams), when a UK energy firm sent [**€220,000**](https://www.icaew.com/insights/viewpoints-on-the-news/2025/jan-2025/how-to-guard-against-voice-cloning-and-deepfake-scams) after a cloned senior voice demanded an urgent payment. Together, the cases show how synthetic fraud exploits urgency, authority, and weak payment verification inside global companies. (Australian Federal Police)

Source: Australian Federal Police

### **Elon Musk Deepfake Scam Exposed New Fraud Risk**

**Breach Disclosed:** [**28 Jun, 2024**](https://www.business.com/articles/deepfake-threats-study/) In [**2022**](https://www.bleepingcomputer.com/news/security/elon-musk-deep-fakes-promote-new-bitvex-cryptocurrency-scam/), a deepfake video of Elon Musk spread online to push a crypto scam promising [**30%**](https://www.bleepingcomputer.com/news/security/elon-musk-deep-fakes-promote-new-bitvex-cryptocurrency-scam/) daily returns, showing how synthetic media can turn celebrity trust into financial bait. Business.com reported on [**28 Jun, 2024**](https://www.business.com/articles/deepfake-threats-study/) that more than [**10%**](https://www.business.com/articles/deepfake-threats-study/) of companies had already faced attempted or successful deepfake fraud, while losses from successful incidents reached as high as [**10%**](https://www.business.com/articles/deepfake-threats-study/) of annual profits. The pattern is clear: deepfakes now threaten both consumers and corporate payment controls at meaningful scale. Source: [Business.com](https://www.business.com/articles/deepfake-threats-study/)

## Weaponized Voices: The Surge in Voice Cloning Scams

Voice cloning is the leading attack vector in deepfake fraud, requiring as little as **3 seconds of audio** to generate a voice with up to [**85% similarity**](https://www.consumerreports.org/electronics/privacy/how-ai-voice-cloning-scams-work-a4156763590/), which enables highly convincing impersonation in urgent scam scenarios. Voice deepfakes increased **680% year-over-year in 2024** based on analysis of over **1.2 billion calls**, while studies show humans struggle to distinguish synthetic voices from real ones.

Consumer concern is rising, with **67.5% of U.S. consumers reporting anxiety** about deepfake threats in financial services. Exposure is widespread, as **1 in 10 people** report receiving cloned voicemails, and **77% of victims** lost money, while **40% would still respond** to a request from a familiar voice. Effective defense requires moving beyond legacy authentication toward multifactor verification, real-time liveness detection, and risk-based controls to secure voice interactions.

## Why Humans Are Vulnerable To Deepfakes

Human detection of high-quality deepfakes is extremely low, with only **24.5% accuracy** and just **0.1% of people correctly identifying all media** in a 2025 [iProov study](https://www.iproov.com/press/study-reveals-deepfake-blindspot-detect-ai-generated-content?utm_source=chatgpt.com), while broader research places average detection near chance. Repeated exposure to synthetic content increases perceived credibility, reinforcing the illusory truth effect and raising belief in misinformation even among informed users.

The “liar’s dividend” further breaks trust, where real evidence can be dismissed and fake media accepted, which means human judgment alone cannot validate digital content. Effective defense requires AI-based detection and structured verification processes rather than relying on intuition.

## The Social Crisis Of Non-Consensual Intimate Imagery (NCII)

Deepfake abuse is driving a social crisis centered on non-consensual intimate imagery, with women disproportionately targeted and institutions struggling to respond. Students use deepfake tools to create explicit content of peers and teachers, while women face targeting rates **4.5×** higher than men. Data shows **96–98%** of deepfake content online is explicit, with **99–100%** of victims being female, and **80%** of Telegram-shared deepfake content classified as pornographic.

The impact extends into healthcare, where fabricated videos of doctors promote scams and undermine trust in clinical evidence. Public concern continues to rise as generative tools reduce the barrier to creating harmful content, prompting regulatory action such as laws enacted across **46** U.S. states by 2025, the TAKE IT DOWN Act in May 2025, and EU AI Act transparency rules set for August 2026. Organizations building or deploying synthetic media tools face parallel governance expectations under [ISO 42001 for AI management systems](/content/resources/iso-42001-compliance/index.html), which turns AI oversight into auditable evidence.

## Real-World Impacts Of Deepfake Phishing

Deepfake phishing fundamentally alters how organizations evaluate trust, communication, and security, introducing deception that consistently bypasses human judgment.

Voice cloning allows attackers to mimic trusted individuals using seconds of audio, which creates urgent scenarios that drive financial loss, while research shows people frequently rate synthetic voices as indistinguishable from real ones.

The liar’s dividend amplifies this risk, as authentic evidence can be dismissed as fake while fabricated content can trigger real consequences such as market disruption or reputational damage.

Many organizations rely on technical fixes, yet this approach fails to address a deeper breakdown in how information is verified. Resilient organizations embed verification into core workflows and treat trust as a system-level control rather than a human assumption.

## Deepfake Phishing Trends to Watch in 2026

Deepfake phishing will intensify in 2026 as attackers combine real-time media manipulation, automation, and scalable fraud services to bypass traditional controls.

The following trends define where organizations face the highest risk:

### 1\. **Cross-Channel Attack Campaigns**

Attackers are coordinating deepfake video, voice cloning, and social engineering across multiple platforms in a single operation. Campaigns often move from messaging apps to video calls and email, which increases credibility and reduces the chance of detection.

### **2\. Real-Time Deepfakes In Video Calls**

Attackers are using live video deepfakes during meetings to impersonate executives and authorize fraudulent transactions. Resemble AI reported **980 corporate infiltration cases in Q3 2025**, which goes to show how real-time manipulation during Zoom calls can bypass standard verification controls.

### 3\. **Deepfake Job Candidates**

Fraudulent applicants are using AI-generated voices and synthetic video to pass remote interviews and gain access to internal systems. Pindrop found that 1 in 4 North Korean IT job applicants use deepfakes to conceal their identity, which highlights a growing insider threat vector. Security teams evaluating this exposure can review our guide to the [risks and mitigation of insider threats](/content/resources/risks-and-mitigation-of-insider-threats/index.html) for control recommendations.

### 4\. **Agentic AI Fraud**

Autonomous AI systems are executing multi-step fraud schemes without constant human input. These systems can create synthetic identities, interact with targets, and adapt tactics in real time, enabling attacks such as fake employees passing interviews or scams targeting financial assets.

### 5\. **Fraud-As-A-Service Platforms**

Deepfake tools are now widely available through dark web marketplaces and spoofing-as-a-service platforms. This access removes the need for advanced technical skills, allowing more threat actors to conduct sophisticated impersonation attacks at scale.

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## Why Are Deepfake Phishing Attacks Increasing?

Three primary drivers are accelerating the growth of deepfake attacks.

**1\. Collapsing barriers to entry.** The tools required to create convincing deepfakes are widely available, inexpensive, and require minimal technical expertise. Dark web marketplaces sell scamming software from [**$20**](https://www.deloitte.com/us/en/insights/industry/financial-services/deepfake-banking-fraud-risk-on-the-rise.html) to thousands of dollars. A WEF contributor documented an automated disinformation campaign built for less than [**$400 per month**](https://www.weforum.org/stories/2025/02/deepfake-ai-cybercrime-arup/). A convincing 60-second deepfake video can be produced in under [**25 minutes at zero cost**](https://www.securityhero.io/state-of-deepfakes/) using freely available tools.

**2\. Explosive growth of generative AI.** The generative AI market is projected to grow to approximately [**$400 billion**](https://www.statista.com/outlook/tmo/artificial-intelligence/generative-ai/worldwide) by 2031. Every advancement in AI capabilities that benefits legitimate users simultaneously empowers attackers with more realistic creation tools.

**3\. Human vulnerability at scale.** Humans detect high-quality video deepfakes at a rate of just **24.5%**. Social media platforms amplify manipulated content through algorithmic distribution, and the illusory truth effect makes repeatedly viewed content seem more credible. Training alone cannot close this gap. **82%** of phishing emails are now generated by AI tools, making deepfake scams faster and more convincing than ever. Rising AI-driven attack volume is a core reason [penetration testing is important for your business](/content/resources/why-penetration-testing-is-important/index.html) in 2026, since control gaps that survive a phishing simulation still surface under adversarial testing.

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## How To Protect Your Organization Against Deepfake Phishing

Protecting an organization against deepfake phishing requires layered controls that combine verification processes, technical detection, and employee discipline. The following measures reduce the risk of successful impersonation attacks:

- **Establish Code-Word Systems**: Use pre-shared code words or private verification questions for identity confirmation during calls. This control adds a simple but effective layer that attackers cannot easily replicate.
- **Mandate Multi-Channel Verification**: Require confirmation for sensitive actions through a separate, trusted channel such as a known phone number or secure internal system. Single-channel approval creates exposure, while independent verification interrupts impersonation attempts.
- **Deploy AI-Powered Detection**: Use detection tools that analyze audio, video, and documents in real time. Integrate these systems into identity verification workflows, video conferencing platforms, and contact center operations to identify synthetic media during interactions.
- **Implement Strict Financial Controls**: Require multiple independent approvals for high-value transactions. No employee should authorize payments based solely on a video call or email instruction, regardless of the requester’s apparent authority.
- **Redesign Verification Protocols**: Replace knowledge-based authentication with behavioral biometrics, liveness detection, and signal-based verification methods. These approaches identify inconsistencies that indicate manipulated or synthetic content.
- **Build Deepfake Awareness Training:** Extend security awareness training to include indicators such as facial distortion, lip-sync mismatch, and unnatural audio patterns. Pair classroom material with [social engineering penetration testing](/content/resources/social-engineering-penetration-testing/index.html) so employee response gets measured under live pretexting and vishing conditions rather than self-reported confidence.

Training must reinforce process adherence over intuition since the average deepfake simulation pass rate is just 44%, which goes to show how often employees trust convincing forgeries.

## Why Bright Defense Delivers Quality Cybersecurity Compliance Services

Bright Defense delivers quality [cybersecurity compliance](/content/site-root.html) services through data-driven expertise, real-world threat alignment, and structured implementation. The team builds compliance programs around current risks, where deepfake fraud attempts have surged 2,137% in three years and now occur every five minutes, which goes to show compliance must reflect active threats rather than static controls.

Each engagement connects controls to real attack paths such as identity fraud and phishing, while reinforcing processes and employee readiness. This approach addresses common gaps, where 80% of organizations lack response protocols and only 5% maintain mature prevention strategies , resulting in compliance programs that perform in real-world conditions.

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## Frequently Asked Questions About Deepfake Statistics

### How fast are deepfake attacks growing?

Deepfake fraud attempts increased **2,137%** over the last three years according to [Signicat](https://www.signicat.com/press-releases/fraud-attempts-with-deepfakes-have-increased-by-2137-over-the-last-three-year). In 2024, deepfake attacks occurred at a rate of one every five minutes, according to [Entrust](https://www.entrust.com/resources/reports/identity-fraud-report). Resemble AI recorded **2,031** verified incidents in Q3 2025 alone. [**85%**](https://ironscales.com/fall-2025-threat-report) of organizations experienced at least one deepfake incident in the past year.

### How much money has been lost to deepfake fraud?

Businesses lost an average of nearly **$500,000** per deepfake-related incident in 2024, with some large enterprises losing up to **$680,000**. IRONSCALES found mean losses exceeding [**$280,000**](https://ironscales.com/fall-2025-threat-report) per incident. Deloitte projects that generative AI-enabled fraud losses in the U.S. could reach [**$40 billion**](https://www.deloitte.com/us/en/insights/industry/financial-services/deepfake-banking-fraud-risk-on-the-rise.html) by 2027. Global scam losses across all AI-enabled fraud reached [**$1 trillion**](https://sift.com/index-reports-ai-fraud-q2-2025/) in 2024.

### Which industries are most targeted by deepfake fraud?

The crypto sector faces the highest rate of deepfake-related fraudulent activity, followed by lending and traditional banks according to [Entrust](https://www.entrust.com/resources/reports/identity-fraud-report). **42.5%** of fraud attempts in the financial sector are now AI-driven, according to [Signicat](https://www.signicat.com/press-releases/fraud-attempts-with-deepfakes-have-increased-by-2137-over-the-last-three-year). iGaming saw a **1,520%** spike in deepfake incidents.

### Can humans detect deepfakes?

Human detection rates for high-quality video deepfakes are just **24.5%**. A 2025 iProov study found only **0.1%** of participants correctly identified all fake and real media. A meta-analysis of **56 studies** found average detection accuracy of just [**55.54%**](https://www.sciencedirect.com/science/article/pii/S2451958824001714), barely above chance. **70%** of people say they are not confident they can distinguish a real voice from a cloned one.

### What was the largest deepfake fraud case?

The largest publicly known case involved a finance worker at Arup who was tricked into transferring [**$25 million**](https://www.cnn.com/2024/02/04/asia/deepfake-cfo-scam-hong-kong-intl-hnk) after attending a video call where every participant was a deepfake recreation of colleagues and executives. An Australian company lost a comparable amount ( **AU$37 million**) in a separate deepfake attack.

### How are deepfakes used in elections?

Researchers identified over **100** deepfake video ads impersonating UK PM Rishi Sunak on Meta in a single month. [NewsGuard](https://www.newsguardtech.com/special-reports/2024-elections-misinformation-tracker/) documented false election claims across more than **370** websites in 2024. Resemble AI recorded **482** politically motivated deepfake incidents in Q3 2025. In January 2024, a deepfaked voice resembling President Biden was used in a robocall urging New Hampshire voters not to vote.

### Where do deepfakes spread most on social media?

YouTube accounts for **29.9%** of tracked deepfake cases, followed by Instagram at **26.8%**, Facebook at **18.8%**, TikTok at **18.3%**, and WhatsApp at **6.3%** according to [Resemble AI’s Q3 2025 report](https://www.resemble.ai/q3-2025-ai-deepfake-security-report/).

### How much does it cost to create a deepfake?

Dark web scamming software is available from as little as [**$20**](https://www.deloitte.com/us/en/insights/industry/financial-services/deepfake-banking-fraud-risk-on-the-rise.html). A convincing 60-second deepfake video can be produced in under [**25 minutes** at zero cost](https://www.securityhero.io/state-of-deepfakes/). The Biden robocall deepfake cost [**$1**](https://keepnetlabs.com/blog/deepfake-statistics-and-trends) and took under **20 minutes** to produce.

### How big is the deepfake detection market?

The deepfake detection market is expected to grow [**42% annually**](https://www.deloitte.com/us/en/insights/industry/financial-services/deepfake-banking-fraud-risk-on-the-rise.html), rising from **$5.5 billion** in 2023 to **$15.7 billion** by 2026. The deepfake AI market was valued at [**$765 million** in 2024](https://www.grandviewresearch.com/industry-analysis/deepfake-ai-market-report) and is projected to reach **$19.8 billion** by 2033.

### Are organizations prepared for deepfake attacks?

Not even close. [**63%**](https://ironscales.com/fall-2025-threat-report) of organizations have not invested any budget into deepfake defense. **80%** lack formal protocols to respond to deepfake attacks. Only **5%** have a comprehensive deepfake prevention strategy. The average deepfake simulation pass rate is just [**44%**](https://ironscales.com/fall-2025-threat-report).

### What is the best way to verify someone’s identity on a video call?

Ask the person to perform an action that can cause a real-time deepfake to glitch, such as turning their head sharply to the side. Better yet, require a personal verification question that only the real person could answer, as the Ferrari executive did. Organizations should combine these live challenges with AI-powered liveness detection for maximum protection.

## The Path Forward: Building Resilience in the Synthetic Age

Deepfake threats are accelerating faster than current defenses, with fraud attempts rising **2,137%** in three years, projected U.S. losses reaching **$40 billion** by 2027, and human detection accuracy falling to **24.5%** for advanced fakes. Organizations face immediate risk and must respond with AI-driven detection, strict verification processes, and ongoing awareness training that reflects human limitations.

Fragmented efforts across sectors weaken overall defense, which goes to show coordinated action is necessary. Long-term resilience depends on redesigning systems with the assumption that any digital content can be fabricated, embedding verification into critical workflows, and prioritizing layered detection over trust.

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[Tamzid \| Cybersecurity Researcher](/content/author/atamzid485gmail-com/index.html)

Tamzid is a cybersecurity researcher with 5+ years of experience across SaaS, security, compliance, and blockchain. Certified through Cisco, Fortinet (NSE 1), and the Basel Institute on Governance in OSINT, he grounds his security and compliance writing in primary sources and verified data.

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