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PROBLEM
Illusion of control in digital identity verification systems
Some fraud gets through. Users drop off during remote identity proofing. Pass/fail decisions are made blindly.
Digital authentication becomes a black box — you see the metrics, but not why users fail, attacks succeed, or UX breaks.
Digital authentication becomes a black box — you see the metrics, but not why users fail, attacks succeed, or UX breaks.
SOLUTION
A fully-managed biometric anti-fraud platform
3DiVi BAF brings transparency to digital identity management.
Every verification decision is explicit, centralized, and directly aligned with your risk management policies.
It goes beyond “pass” or “fail,” revealing failure causes, user friction points, and attack entry stages.
Every verification decision is explicit, centralized, and directly aligned with your risk management policies.
It goes beyond “pass” or “fail,” revealing failure causes, user friction points, and attack entry stages.
Built for companies at risk of identity fraud
- For banks and fintech companiesMinimize financial losses caused by digital fraud and strengthen customer trust.
- For remote service providersVerify customers remotely and reduce fraud risks across your insurance, telecom, rental, and subscription services.
- For government and public servicesEnsure trusted digital identity verification for e-government platforms and citizen services.
CORE CAPABILITIES
- Threat visibilityYour digital ID system is no longer a black box. You see real sessions, errors, anomalies, and new attack patterns as they happen.
- Identity risk management3DiVi BAF shows where users drop off, where identity fraud occurs, where systems fail, and most importantly, why it all happens.
- Cross-platform identityOne identity layer across all channels — browser, mobile apps, embedded environments, and desktop. One logic. One defense layer.
- Cost intelligenceThe main costs in digital identity authentication are not the technology itself. They come from fraud losses, failed verifications, and manual review.
- Face verification (1:1)Verify who someone claims to be with world-class accuracy
Accuracy: 99.9977%
FNMR = 0.0023%
@ FMR = 0.000001 (Visa) - Face identification (1:N)Identify unknown individuals across your entire database
Accuracy: 99.999%
FNIR @ Rank-1 = 0.0010%
on 12M gallery (Mugshot) - Liveness detectionDistinguish live faces from presentation attacks — printed photos, 2D/3D masks, and video replay
Accuracy: 95-99%
APCER = 2% @ BPCER = 1%
APCER < 1% @ BPCER = 5% - Deepfake detectionRecognize AI-generated media that convincingly replicates real people
Accuracy: 95-99%
5% APCER @ 1% BPCER
1% APCER @ 5% BPCER
- Zero trustEach user session has unique parameters that cannot be reused by fraudsters to fake.
- Privacy-first architecture100% data-sovereign, customer-run software, no user data sent outside your environment.
- Web, Android and iOS supportSDKs for easy embedding in browsers and desktop/mobile apps.
- ScalabilityConfigurable load variation depending on user scenarios and performance requirements.
- Centralized dashboardAdministrator dashboard for tracking user activity and managing verification sessions.
- Image capture componentWeb UI to collect user/device data, perform biometric checks and send data to the server.
WHY THIS PRODUCT
Transform biometric authentication into 4-level risk management system
- 1. Signal acceptance3DiVi BAF takes in system signals such as:
- Facial biometric features
- Liveness checks
- Deepfake detection results
- Device metadata
- Behavioral signals
- 2. Signal interpretationSignals are classified into:
- Control (process errors)
- Risk (behavioral anomalies)
- Attack (attack scenarios)
Example: Poor image quality won't be treated as an attack. - 3. Decision makingThe system takes a final decision:
- Allow
- Reject
- Request retry
- Increase verification
- Adjust flow
That means each outcome is not a guess—it's a direct function of your risk management policy. - 4. Session intelligenceThis level enables deep post-analysis of user sessions to
- Understand rejection reasons,
- Validate module performance,
- Detect attacks, and
- Track changes in system behavior.
Delivered as a monthly intelligence report with current metrics, identified risks and attacks, error analysis, and recommendations.
CASE STUDIES
Prevent identity fraud and maximize pass rates — all in one platform
Result:
Key insight:
At launch, nearly 1 in 3 legitimate users failed verification.
But instead of a smooth process, they hit friction everywhere: unclear instructions, confusing interface steps, and repeated rejections.
Challenge: Imagine this: thousands of people — many of them elderly — trying to complete remote identity verification to receive public subsidies.
The pass rate jumped to 92%, without weakening security requirements.
Solution: 3DiVi BAF analyzed real verification sessions, step by step, and uncovered where users were getting stuck. Not assumptions — actual behavior. Based on this, interaction flows and instructions were refined to match how users actually use the system.
It wasn’t the users who were the problem — it was how the system was interacting with them.
Making digital verification simple for elderly users
CASE STUDY · IDENTITY VERIFICATION
Result:
Key insight:
Challenge: A common fraud attempt looks like this: an attacker uses a phone displaying another person’s face to get verified. No preparation. No complexity. Just a simple spoof that can be repeated and scaled with ease.
Security teams gained clear visibility into the attack pattern, reduced repeat attempts, and made the attack economically unattractive to scale.
Solution: 3DiVi BAF captured and analyzed each attempt in detail, revealing how the spoofing was executed and what made it succeed or fail.
Security is not only attack detection — it is control over attacker behavior and strategy.
Making digital verification simple for elderly users
CASE STUDY · DETECT SPOFING
Featured resources
3DiVi BAF is built for continuous verification at scale — not per-session monetization. Expand your license and scale smoothly, from startup to enterprise grade.
Scalability
Continuous identity protection is now economically viable. Pay only for what you use — no per-request surprises.
Under $0.02 per annual user
3DiVi BAF pricing calculator
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Business Case
Number of Users
Estimated cost:
Request a commercial proposal $28,800 per year
