Stop fraud earlier, approve good users faster

Combine identity verification with real-time risk signals to block bots, mules, and synthetic identities—without adding friction.

verifID fuses device intelligence, contact risk (email/phone), behavioral analytics, velocity rules, and graph/link analysis with your KYC/KYB/KYT stack. The engine assigns risk scores, triggers step-up challenges only when needed, and produces reason codes with signed evidence for audit-ready outcomes. Deploy as SaaS, on-prem, or hybrid with strict data residency and GDPR-aligned processing.

How it works Request a demo
Fraud prevention overview

40%

Lower fraud loss

30%

Fewer false positives

50%

Faster approvals

99.9%

Uptime / availability

How Fraud Prevention Works

Signals

Device, IP/proxy/VPN, email & phone risk, behavior, velocity, geofencing, and lists.

Enrichment

Deduplication, identity linking, graph analysis, and historical patterns.

Decisioning

Adaptive scoring with step-up verification (liveness, docs, OTP) only when needed.

Evidence

Reason codes, signed logs, and export packs for audits and disputes.

Core Capabilities

Device Intelligence

Fingerprinting, emulator/root/jailbreak detection, IP reputation, TOR/VPN/proxy checks.

Email & Phone Risk

Disposable domains, tenure, carrier/type, SIM-swap risk, and contact linkage.

Behavioral Analytics

Session anomalies, velocity, geo-movement, and bot/human interaction patterns.

Link Analysis

Householding, mule-ring detection, and shared artifacts across accounts/claims.

Synthetic & Stolen ID Defense

Cross-signal mismatch detection and step-up with liveness/doc checks.

Fast-Fail & Rules

Blocklists/allowlists, adaptive thresholds, and policy orchestration by segment.

Compliance & Governance

GDPR & ISO

Data minimization, purpose limitation, encryption, RBAC, environment segregation.

Explainability

Reason codes, score factors, and export packs to support reviews and appeals.

Signed Evidence

Audit trails with retention policies and immutable hashes for regulator audits.

Sector Use Cases

Banking & Payments

Account opening, card fraud, social-engineering defense, mule account detection.

Insurance

Quote/claim fraud, duplicate claims, staged incidents, and policy gaming.

E-commerce & Wallets

Account takeover, promo abuse, refund fraud, and device farm detection.

Fraud Prevention FAQs

Do you support step-up only for risky cases?

Yes. The engine triggers liveness/doc/OTP only when risk exceeds policy thresholds.

Can we keep our existing vendors?

Absolutely. We aggregate signals via APIs and unify scoring and policy decisions.

How do you handle appeals and audits?

Explainable reason codes, signed logs, and exportable evidence packs for reviewers.

What deployment models are available?

SaaS, on-prem, and hybrid with data residency, private networking, and HSM options.

Fraud Prevention for regulated industries

Block bad actors. Approve real users—fast.

Request a demo