Real identity in seconds, no friction.
Facial biometrics, liveness, document OCR, and deepfake detection in a single decision. Fraudsters stop at the door. Legitimate customers never notice they were verified.
Identity fraud enters through account opening.
Three attack vectors that grow with digital fraud maturity, faster than manual verification can track.
Synthetic face clears weak verification.
Video generation and injection attacks bypass simple liveness. Without a dedicated model for synthetic imagery, onboarding approves a face that never existed and losses only surface at the first withdrawal.
Overly strict verification drops legitimate customers.
Every extra liveness step loses a slice of the funnel. Tightening to block fraud costs conversion, and loosening to convert opens the door to fraud.
Tampered document without cross-checking becomes a real account.
Standalone OCR reads what is on the page but does not confirm whether the document is genuine or whether the person behind it matches watchlists. A valid document on the wrong person is an approved onboarding.
Everything in a single call.
Public and private sources queried in parallel, normalized and weighted by the use-case matrix.
Four proofs. One identity.
The engine collects biometrics, liveness, document, and device in a single call, cross-checks against watchlists, and returns allow, step-up, or block before the account is created.
Recommendation: Approve. Biometrics with liveness (99.2%) and face match of 98.6% against official base. No signs of synthetic image or injection attack. Valid document, clean device, negative cross-check on watchlists. Identity confirmed in 1.1s.
Liveness does not rely on the requested gesture alone. The engine combines active and passive signals, so recorded video and printed faces fail before face match.
Beyond Unico, Caf, and Facephi, proprietary models hunt for generation artifacts and camera injection attempts. Synthetic images are not treated as valid faces.
The vast majority pass through directly. Only the ambiguous case gets step-up, and only the clearly fraudulent is blocked, so conversion and security do not compete.
The identity the regulation requires confirming.
Secure onboarding is a regulatory duty before it is a fraud defense. Four instruments put identity verification at the center of account opening.
Cybersecurity policy
Requires identification and authentication controls proportional to risk in digital contracting. Biometrics with liveness satisfies the requirement without unnecessary friction.
Know your customer at opening
Customer identification and qualification are mandatory at onboarding. OCR, biometrics, and watchlist cross-checks form the due diligence evidence.
Identification in capital markets
Participants must identify and qualify customers before the business relationship begins. The onboarding decision is recorded with an auditable trail.
Biometric data processing
Biometric data is sensitive. Collection has a legal basis in fraud prevention, with defined purpose and minimization, with retention per policy.
From kickoff to go-live in 4 weeks.
Multi-tenant architecture. What changes per client: contracted bureaus, liveness thresholds, and step-up policy.
Discovery & scope
Map the onboarding funnel, available bureaus, and acceptable friction points per product.
Calibration
Tune liveness and face match thresholds, step-up policy, and block rules. Validate false positive rate.
Directed pilot
Live onboarding of a traffic slice in shadow mode. Compare engine decision against current flow.
Go-live
Full traffic decided in real time. Calibrated step-up active. Deepfake detection in production. Team trained.
Five modules, one decision engine.
One flow from data intake to continuous monitoring. Explore the other platform modules.
Workflows
Orchestrate data, rules, AI agents and the desk in auditable flows. No deploy for every new rule.
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Artificial Intelligence
Agents read the dossier, vote alongside the analyst and justify every decision.
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Decision Desk
Queue, authority, dossier and committee in one screen. Human and AI decide together.
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Risk Hub
Continuous monitoring of people and companies. Automatic re-analysis when something changes.
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Datahub
+40 integrated bureaus, normalized into typed and auditable variables.
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Start with a meeting.
In 15 minutes we show how VAAS works in your scenario, with your rules, your data, your volume.