Industries
KYC/AML compliance
Meet KYC and AML obligations against AI-era fraud — deepfake selfies, forged IDs, and synthetic identities caught at onboarding and beyond.
$4.6B
in AML and KYC enforcement actions issued globally in 2024Source: Fenergo
- Deepfake and liveness checks at KYC
- Document-forgery detection on every ID
- Evidence trails for regulators and auditors
Compliance under AI-era fraud
Regulators expect you to keep synthetic identities and manipulated documents out of onboarding. ScamAI scores the selfie for deepfakes, verifies liveness, and checks every submitted document for forgery — so your KYC/AML program holds up against generative-AI attacks.
Auditable by design
Every result ships with the signals that fired, giving compliance teams and auditors defensible evidence for approve, decline, and enhanced-due-diligence decisions — not an opaque score.
What examiners expect now that IDs can be generated
KYC rules assumed the hard part was matching a person to a document; generative AI broke that assumption. FATF guidance asks whether your identity-proofing resists spoofing, the Bank Secrecy Act's Customer Identification Program rule requires a reasonable belief in each customer's true identity, and FinCEN's 2024 alert lists the generative-AI red flags institutions should detect and report. ScamAI answers all three with documented, testable detection of deepfake selfies and forged documents, with evidence trails built for examiner review.
Where detection sits in the verification stack
Eva V1.6 slots into your existing stack as a dedicated synthetic-media layer, not another all-in-one IDV tool: it scores the selfie for AI generation before the biometric match runs — a match against a fake face is still a fake — and runs forensics on every ID and supporting document. The same checks re-run at enhanced due diligence and periodic refresh, so a customer who onboarded legitimately cannot later swap in synthetic media unnoticed. With $4.6B in AML and KYC enforcement actions issued globally in 2024, an audit trail that carries reasons rather than bare scores is the point.
/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 are deepfakes used to bypass KYC checks?
Fraudsters attack KYC at two points. At the selfie step, they use face swaps, AI-generated faces, or replayed synthetic video to pass liveness and biometric matching — often injecting the fake feed into the session with a virtual camera. At the document step, they submit AI-generated or template-forged IDs and proof-of-address documents. Because both artifacts agree with each other, the fake identity sails through checks that only match a face to a document; detection has to interrogate the media itself.
Do regulators require deepfake detection for KYC and AML programs?
No rule names a specific technology, but the expectations point one way. The U.S. Customer Identification Program rule requires a reasonable belief in a customer's true identity, FinCEN's 2024 alert asks institutions to identify and report deepfake-related red flags, and FATF guidance tells firms to evaluate whether their identity-proofing resists spoofing. If synthetic identities are passing your onboarding, examiners will ask what controls you had — documented synthetic-media detection is the clearest way to show your program kept pace.
What evidence does a compliance team get with each detection result?
Every ScamAI result includes the signals that drove it: which regions of a face or document showed manipulation, what class of generation or tampering was detected, and the confidence behind the score. An analyst reviewing a declined onboarding can see why, an MLRO can cite indicators in a suspicious activity report, and an auditor can trace any decision to evidence. Results are retained while the underlying media is discarded after scoring — a complete audit trail without a data-retention liability.
See ScamAI on KYC/AML compliance
15 minutes, on your own media. Pick a slot and leave with a result.