Gartner® names Reality Defender a Market Shaper in deepfake detection, June 2026

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EXPOSE DEEPFAKES

Uncover AI manipulation across audio, video + images

Media findings give your team more to work with than a convincing appearance. Scores + available model detail support closer examination alongside identity, account and source evidence.

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A media score addresses how content was made

A valid credential or familiar voice cannot establish how the media was produced. The assessment concerns signs of AI generation or alteration; identity, permission and factual accuracy require separate evidence.

Sources: Gartner, September 2025: 302 cybersecurity leaders, prior-year attacks. Diel et al., 2024: 56 papers, 86,155 participants; pooled accuracy, 95% confidence interval 48.9% to 62.1%. Deloitte, 2024: generative-AI fraud-loss forecast for 2027.

  • 62%

    of organizations in a 2025 Gartner survey reported a deepfake attack in the previous 12 months.

  • 55.5%

    pooled human deepfake-detection accuracy across 56 papers.

  • $40B

    in U.S. fraud losses generative AI could enable by 2027, according to Deloitte’s forecast.

Clearer evidence for your existing controls

Flags before sensitive actions

A suspicious finding gives reviewers a reason to pause an approval, request original material or seek independent verification.

Detail behind the conclusion

Model-specific outputs can support further examination when they are available. Unevaluable material calls for follow-up rather than an automatic pass.

Decisions under your policies

Your team weighs the media assessment alongside account, identity and case context before choosing the response.

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CUSTOMER STORY

A generated selfie met an independent media check

In IDmission’s published example, an AI-generated selfie was flagged alongside existing document and face checks. The onboarding application stopped the submission before an account opened.

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PRODUCTS

Analysis in the channel your team uses

See the finding, its limits + the customer-owned response.

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