Stop Deepfake Fraud Before It Spreads: AI Detection for Images and Videos
AI-generated images and videos are getting good enough to fool real people, real processes, and real systems. What used to be an obvious fake is now a convincing identity photo, a believable “CEO message,” or a highly shareable video that triggers reputational damage before your team can respond.
If you run a government agency, financial institution, marketplace, or media operation, you’re facing the same new risk:
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Synthetic IDs slipping through onboarding and KYC
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Impersonation and social engineering using AI-generated faces or videos
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Fake evidence and manipulated media impacting investigations and public trust
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Viral misinformation that spreads faster than manual verification can handle
Agmo’s Deepfake Detection solution helps you verify whether an image or video is likely AI-generated or manipulated, so you can block fraud, reduce false approvals, and respond faster with confidence.
What the solution does
Our system analyzes images and videos and returns a clear, operational outcome:
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A likelihood score indicating whether content is AI-generated/manipulated
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A reasoned detection breakdown (what signals contributed to the result)
This makes it usable for frontline teams, compliance teams, and incident response.
Why deepfake detection matters now
Most organizations already have cybersecurity tools, identity checks, and manual review. Deepfakes bypass them because they attack the human trust layer.
Deepfake detection adds a missing control to your stack:
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Reduce fraud losses by stopping synthetic identities early
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Protect critical workflows like approvals, onboarding, benefits, and claims
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Strengthen public trust with faster, defensible verification
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Improve response speed when harmful content appears online or in submissions
Where customers use it (high-ROI use cases)
1) eKYC and onboarding verification
Detect AI-generated profile photos, manipulated documents, and suspicious selfie/video checks before accounts get approved.
Best for: banks, fintech, telcos, marketplaces, insurers.
2) Fraud screening for claims and submissions
Flag suspicious images/videos submitted for claims, reports, disputes, and incident evidence.
Best for: insurance, logistics claims, public agencies, corporate investigations.
3) Social media and reputation defense
Monitor and triage viral manipulated videos/images quickly so comms and legal teams can respond with evidence, not guesswork.
Best for: brands, public sector, media teams, PR crisis units.
4) Secure communications and impersonation protection
Detect deepfake video/audio-style impersonation attempts used to pressure staff into urgent payments or approvals (when paired with workflow controls).
Best for: finance departments, procurement, executive offices.
How it fits into real workflows
Agmo’s solution is designed to be easy to operationalize:
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API-first: integrate into portals, mobile apps, onboarding flows, case management systems
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Batch scanning: analyze media at scale for backlogs or investigations
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Real-time checks: validate content during submission or verification
You choose the threshold and actions:
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Auto-reject, auto-hold, route to manual review, or escalate to investigation.
What makes it enterprise-ready
Deepfake detection isn’t a one-time build. Models evolve fast. Attackers adapt. Your detection must be continuously improved and measurable.
Agmo focuses on production readiness:
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Continuous model updates to keep pace with new generators and manipulation techniques
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Configurable thresholds by use case (KYC vs claims vs social monitoring)
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Audit trail support (who reviewed, why it was flagged, decision outcome)
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Deployment options (cloud or private environment depending on sensitivity)
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Human-in-the-loop review to manage edge cases and reduce false positives
Important note: no detector can guarantee 100% accuracy on all future deepfakes. The right goal is a strong, measurable reduction in risk with clear escalation paths and continuous improvement.
Contact us today for a free demo at [email protected]