Rules Engine

Decisioning is configured at the parameter level for every check in the workflow. Set biometric match thresholds, document and payment card validation scores, and watchlist sensitivity. Apply different values by workflow step, geography, document type, channel, or actor segment.

• Thresholds for every check. Document authenticity, liveness, face match, PEP and sanctions, PII verification are all configurable at the parameter level.
• Risk tiers by actor segment. Different rules for new users, returning users, high-value transactions, and restricted geographies.
• Watchlists and block lists. Continuous screening against PEP, AML, and sanctions databases.
• Trust score, calibrated to each organization’s risk model. A 0 to 100 score tuned to how the business defines risk.
• Five decision outputs. Approve. Step up. Limit. Monitor. Block. Each triggered by rules the organization defines.

Session and Fraud Analytics

Pinpoint where actors convert, drop off, and where fraud concentrates. Command Center logs every verification interaction and makes it searchable. Drill into a single session or zoom out across millions. Every decision is traceable. Exports are audit-ready for KYC, AML, and regulator review.

• Pass rates at every workflow stage
• Drop-off patterns by step, device, and channel
• Latency and friction metrics with demographic bias detection
• Attack vector tracking: deepfakes, GenAI documents, injection, replay
• Behavioral drift monitoring across sessions, devices, and transactions
• Linked actor profiles through Identity 360, so a flagged actor stays flagged across every touchpoint
• Trend detection that surfaces emerging attack patterns early

Decision Engine

Full transparency into what happened between signal capture and the final outcome. Every decision in Command Center is explainable. The identity profile, risk signals, thresholds applied, and actions taken are visible for every transaction.

How the Decision Engine works

• Signal-level detail. Document, biometric, device, risk, PII, and trust score data are visible for every transaction
• Organization-controlled logic. Each organization defines how signals combine and what triggers each outcome.
• Live updates. Change decisioning logic in production. Test, deploy and measure without redeployment.
• Explainable by default. Every outcome includes the reasoning ready for compliance audits, support escalations, or product review.

Conversion Analytics

Microblink gives teams a complete view of how actors move through identity and fraud journeys, from first verification to ongoing interactions. Session and journey analytics show where users convert, drop off, encounter friction, or trigger fraud signals, helping teams understand what is happening across the full journey.

Drill into each step of the funnel or analyze trends across millions of interactions to measure journey performance, and optimize decisioning without losing visibility into risk.