Financial Services
Return media findings to onboarding, fraud, and case systems through your existing flow.
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EMBED DETECTION
Deepfake findings inside your customer experience
Submitted-file assessments through RealAPI + live-phone findings through RealCall help your customers review suspicious media within the systems they already use.
Keep media assessment close to the decision
Your application can submit supported audio, video + image files through RealAPI. For phone workflows, a RealCall integration supplies speech findings during the interaction. Customer policies determine the response.
Sources: Forrester, November 2025: spending forecast for 2026. Gartner, November 2025: disinformation security + TrustOps investment forecast, up from less than 5% in 2025. Gartner, September 2025: 302 cybersecurity leaders, prior-year attacks.
40%
predicted growth in deepfake detection spending in 2026.
50%
of enterprises projected to invest in disinformation security + TrustOps by 2027.
62%
of organizations in a 2025 Gartner survey reported a deepfake attack in the previous 12 months.
Additional scrutiny without a separate review tool
Assess submitted files
Receive structured media results as audio, video, and images enter your product.
Support live-call decisions
A RealCall connection supplies synthetic-speech findings for your customer’s own verification + call-handling rules.
Prioritize follow-up
Your application combines the assessment with customer context to prioritize cases that need attention.
Present findings in your product
Display the score inside the screen your customers already use.
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PRODUCTS
File integration + live-phone integration
Bring synthetic-speech results into live call flows with RealCall
Return file analysis inside the application you already run with RealAPI
Add media assessment without building detection models yourself.
Talk to an expert\
INDUSTRIES
Identity products, service operations + financial platforms
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CUSTOMER STORY
An independent media assessment for IDmission
The published case describes a generated selfie made from a stolen ID photo, flagged during an onboarding process.
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RESEARCH + INSIGHTS