Industries
Deepfake detection for financial services
Stop synthetic identities at onboarding and deepfaked executives on video calls before the wire is released.
$40B
projected U.S. fraud losses enabled by generative AI by 2027Source: Deloitte
- Enrollment liveness at onboarding
- Document forensics on every upload
- Halo protecting high-value meetings
Where banks get hit
KYC bypass with rendered faces, forged statements in lending, and deepfaked executives authorizing transfers.
How ScamAI helps
Eva V1.6 screens enrollment selfies and document uploads for AI generation and tampering, and Halo flags deepfaked participants in the meetings where transfers get approved — every result with evidence attached.
One platform across the bank
From retail onboarding to lending-document intake to executive wire approvals, the same detection covers every trust decision — no separate point solution to buy and wire up per channel.
Mapping detection to FinCEN and BSA expectations
FinCEN's late-2024 alert warned institutions about deepfake media used to defeat identity verification, and reminded them that suspected generative-AI use belongs in suspicious activity reporting — putting synthetic-media detection inside existing Bank Secrecy Act obligations. Eva V1.6 scores enrollment selfies and uploaded documents for AI generation and manipulation, and every result ships with the signals that fired: concrete language for SAR narratives instead of a hunch. ScamAI is SOC 2 Type II and GDPR compliant, so the detection layer does not create a new audit finding.
From account opening to wire release
Detection only reduces losses where money actually moves: account opening, where Eva V1.6 screens the applicant's selfie and ID before provisioning; the lending pipeline, where pay stubs and statements get forensics before underwriting sees them; and high-value approvals, where Halo flags synthetic video in the meeting authorizing the transfer. Each check is a REST API call that drops into your existing orchestration, so fraud teams keep their case-management tools and decision engines. Deloitte projects $40B in U.S. fraud losses enabled by generative AI by 2027 — the institutions instrumenting these checkpoints early set the loss curve.
/ROI
What this is worth
- Loss avoidance: as an illustration, at 50,000 checks a month, catching just 0.2% more synthetic media is ~100 frauds stopped — at a $10k average loss, that's ~$1M a month that never walks out the door.
- Review time: evidence-backed results cut manual review from minutes to seconds, so analysts handle the small flagged fraction instead of screening everything.
- Compliance posture: explainable, auditable results give regulators and auditors evidence, not a black-box score.
Common questions
How do banks detect deepfakes during digital account opening?
Banks layer synthetic-media detection on top of standard identity verification. When an applicant submits a selfie and ID, a detection model like Eva V1.6 analyzes the face for AI generation, face swapping, and presentation attacks, while document forensics checks the ID and supporting paperwork for tampering and generated content. The result is a risk score with evidence that feeds the bank's decision engine: genuine applicants pass in seconds, and suspicious enrollments route to manual review before an account is opened.
What did FinCEN say about deepfakes, and what should banks do about it?
FinCEN's 2024 alert warned that criminals are using deepfake media, including AI-generated identity documents and altered photos, to open accounts and defeat verification. It asked institutions to watch for red flags like inconsistencies between a customer's photo and their document, and to reference generative-AI indicators in suspicious activity reports. Practically, banks should add synthetic-media scoring at onboarding and document intake, with detection tooling that produces explainable evidence for SAR narratives and examiners.
Can deepfake detection integrate with our existing KYC vendor?
Yes. ScamAI sits alongside, not in place of, your identity verification stack. The REST API accepts the same selfie and document images your KYC vendor already captures and returns a manipulation result with the signals that fired. Most teams call it from their orchestration layer as an additional onboarding check, using the score to trigger step-up verification or review. No rip-and-replace: your IDV provider keeps matching identities, and ScamAI answers the separate question of whether the media itself is real.
See ScamAI on financial services
15 minutes, on your own media. Pick a slot and leave with a result.