Businesses Lack Strong Confidence In Deepfake Detection

Despite widespread awareness, 42% of businesses admit they are only “somewhat confident” in their deepfake detection skills, finds a recent Regula study.

Nearly half of businesses admit they are only partially confident in their ability to detect deepfakes, leaving them vulnerable to escalating fraud risks and revealing a dangerous gap in preparedness, according to a recent study by Regula. The fight against this threat remains a challenge, particularly for the traditional financial sector, which reports the lowest confidence levels.

Based on Regula’s study, “The Deepfake Trends 2024,” 59% of businesses consider video deepfakes a serious threat, while 58% feel the same about audio deepfakes.

Regula, Deepfake Detection
(Source: Regula)

Certain industries and regions feel the impact more acutely:

  • In the Financial Services sector, 66% of respondents rank audio deepfakes as a moderate to significant risk.
  • Mexico leads globally in deepfake threat perception, with 83% concerned about video deepfakes and 85% about audio deepfakes.
  • By contrast, only 50% of U.S. organizations express concern about video deepfakes; meanwhile, Germany ranks slightly higher, with 57% of organizations worried.

Notably, businesses that have previously experienced identity fraud are twice as likely to view deepfake threats as a major concern.

Confidence Levels Lag Behind Awareness

Despite widespread awareness, on average, 42% of businesses admit they are only “somewhat confident” in their ability to detect deepfakes. Germany leads in uncertainty, with only 47% of businesses expressing strong confidence in their defenses, while the UAE (63%) and the U.S. (60%) show the highest levels of confidence.

An interesting divide emerges within the Financial Services sector:

  • Traditional banks are among the least confident, with only 49% feeling prepared.
  • In contrast, FinTech companies report the highest confidence levels at 63%.

Technology Is The Game-Changer

The study reveals that businesses adopting online identity verification (IDV) early are significantly more prepared. Those with seven years of IDV experience report 20% higher confidence than recent adopters.

However, tackling deepfakes in-house can backfire. Companies building their own IDV systems reported higher average losses—$515,000 compared to $444,000 for those using ready-made solutions—underscoring the complexity of fighting fraud effectively.

Regula, Deepfake Detection
(Source: Regula)

Bridging The Confidence Gap

The report also uncovers a disconnect between owners and managers:

  • 76% of business owners are confident in their ability to manage deepfake threats.
  • Only 47% of managers feel the same, reflecting the day-to-day challenges of mitigating fraud.

“This gap reflects differing priorities,” commented Henry Patishman, Executive Vice President of Identity Verification Solutions at Regula. “Owners focus on strategy, and might not fully understand the operational complexities involved in detecting and mitigating these threats on a day-to-day basis. Managers deal with operational challenges firsthand, which may make them more cautious or skeptical about their organization’s actual capabilities.

“Whatever the reasons are, it is vital that both groups understand the capabilities of different anti-deepfake technologies,” Patishman continued. “Regula’s complete IDV solution with its liveness-centric approach is highly advanced and able to prevent all kinds of identity fraud, including deepfakes.”

Discover more insights and access the full findings of the “Deepfake Trends 2024” report here.

Read more about cybersecurity and business continuity issues from Continuity Insights.

Business Continuity, Cyber, Enterprise Risk, Featured, Financial, Security, Technology, Workplace Culture

Audio Deepfakes, Cybersecurity, Deepfake Defense, Deepfake Detection, Deepfake Trends 2024, Financial Services, FinTech, Germany, Identity Verification Solutions, Mexico, Online Identity Verification, Regula, security, Survey, technology, Video Deepfakes

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