Deepfake statistics 2026: key facts for CFOs and finance leaders

deep fakestatistics
Deepfake statistics 2026: key facts for CFOs and finance leaders

The latest serious issue facing finance: deepfake scams. They're not just theoretical anymore—they're happening, and deepfake statistics show they're hitting finance hard.

Take the recent case in Hong Kong, where a finance worker transferred $39 million, thinking they were on a video call with their CFO and colleagues. Turns out, they were talking to deepfake impostors. This incident shows how deepfake tech is becoming a real threat in financial fraud.

But it's not just about money. Deepfakes are also used to spread lies and create fake content that can harm reputations. With AI getting smarter, scammers can now mimic voices and trick people with convincing emails.

As finance leaders, it's crucial to stay ahead. Regularly review security measures, train your teams to spot suspicious requests, and invest in tech that can catch deepfakes before they cause damage.

Join us as we dig into the latest deepfake statistics and ways to protect your company from these evolving cyber risks.

AI deepfake statistics

60% of consumers have encountered a deepfake video within the last year.

Only 15% state that they have never encountered a deepfake video.

Only 0.1% of people correctly identify every deepfake shown to them.

In a 2025 study of 2,000 UK and U.S. consumers, participants were explicitly told to watch for synthetic content and were still 36% less likely to correctly identify a fake video than a fake image.

Deepfake fraud made up 11% of all fraud detected globally in 2025.

Deepfake-enabled fraud is now one of the most common third-party fraud types Sumsub tracks, alongside synthetic identity use and account takeover.

Deepfake fraud costs businesses nearly $450,000 on average.

The average financial burden of deepfake-related identity fraud grew from $230,000 in 2022 to $450,000 in 2024, a 96% increase in two years. Nearly half of businesses globally now report being targeted by audio or video deepfake fraud.

Scams, phishing, and malvertising accounted for 90% of threats on mobile devices in Q1 2024.

Avast's Q1 2024 Threat Report highlights a rise in cyberthreats exploiting human manipulation tactics like deepfakes and AI-manipulated audio, particularly on platforms such as YouTube.

Deepfake fraud statistics

1 in 4 leaders are unfamiliar with deepfakes.

Despite AI's growing prominence, about one in four company leaders had little to no familiarity with deepfake technology.

31% underestimate deepfake fraud risk

31 percent of business leaders believe deepfakes have not increased their fraud risk.

32% doubt employee ability to detect deepfakes.

32 percent of leaders had no confidence their employees would be able to recognize deepfake fraud attempts on their businesses.

Over 50% lack deepfake training.

More than half of leaders say their employees haven't had any training on identifying or addressing deepfake attacks.

1 in 10 executives have already faced deepfake threats.

A further 10% were unsure if their enterprises had fallen victim to deepfake-based cyberattacks.

61% of executives have no established protocol for deepfake risks.

The gap between awareness and preparedness is stark: most leaders recognize deepfakes as a threat, but 61% of executives say their companies haven't established any protocols for addressing deepfake risks.

62% of organizations experienced a deepfake attack in the past 12 months.

This is a global figure from a survey of 302 cybersecurity leaders, not a projection.

Deepfake fraud in North America surged 1,100% year over year.

Sumsub measured this between Q1 2024 and Q1 2025, alongside a 311% rise in synthetic identity document fraud across the same region.

Generative AI fraud losses could reach US$40 billion by 2027.

This projection reflects a compound annual growth rate of 32% from US$12.3 billion in 2023, and remains the most-cited reference figure for this category.

Deepfake crime statistics

Deepfake attacks are now linked to 1 in 5 biometric fraud attempts.

Injection attacks, where synthetic media is fed directly into a verification system rather than shown on camera, rose 40% year over year.

32% of cybersecurity leaders report a spike in deepfake-related security incidents.

This figure comes from a 2025 survey of cybersecurity leaders.

41% of organizations experienced a deepfake combined with social engineering on an audio call.

35% experienced the same on a video call. This is a separate, more recent Gartner survey from the 62% figure used earlier on this page and should not be blended with it, since the two measure different things.

Author

Catherine Chipeta

Published

6 Jul 2026

FAQs

A deepfake is synthetic media created with artificial intelligence, typically video, audio, or images altered to show someone saying or doing something that never happened. Fraudsters use the same technology to impersonate executives, vendors, and colleagues in payment scams. Read more on how deepfake AI works.

Estimates put online deepfake volume at roughly 500,000 in 2023, rising to approximately 8 million by 2025, a figure also cited by the UK government. The pace of growth means any fixed count is out of date within months.

Sixty percent of consumers report encountering a deepfake video within the last year, and only 15% say they have never seen one. For finance teams, prevalence matters less than the fact that human detection of high-quality deepfake video averages just 24.5% accuracy, which is why manual review alone is not a reliable control.

Deepfake fraud is the use of AI-generated audio or video to impersonate a real person, usually an executive, vendor contact, or colleague, in order to authorize a fraudulent payment or extract sensitive information. Read the full breakdown of how deepfake fraud works.

A deepfake attack is any fraud attempt that uses synthetic media as its method of deception, commonly a cloned voice on a phone call or a manipulated video on a conference call. See how Eftsure helps businesses defend against AI deepfake fraud.

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