Integration profile
SEON Fraud Intelligence
AutoKYC consumes SEON device, IP, and behavioural intelligence to augment identity and KYB decisions. Rules weight SEON risk scores alongside AML results, triggering manual review when fraud indicators exceed policy thresholds.
Why teams pair with SEON Fraud Intelligence
- Real-time device fingerprinting feeds directly into AutoKYC’s risk decisioning engine.
- Combine SEON scores with AML outcomes to reduce false positives before analysts intervene.
- Privacy-by-design controls hash sensitive telemetry before analytics tools receive consent.
Use cases
Account opening fraud checks
Score new applications with SEON risk signals and auto-reject synthetic identities while preserving smooth flows for trusted users.
Hybrid SaaS + managed review
Route high-risk SEON signals to AutoKYC managed analysts with full context and remediation playbooks.
Ongoing session monitoring
Monitor post-onboarding sessions for device anomalies and trigger ODD reviews when fraud scores spike.
Setup steps
- 1
Deploy SEON API keys
Generate SEON API keys for each environment and store them with AutoKYC secrets rotation policies.
- 2
Map telemetry fields
Send device, IP, and email signals to AutoKYC via server-side collection or SDK enrichment to keep PII secure.
- 3
Configure risk thresholds
Set policy-based thresholds that determine when SEON scores auto-approve, soft decline, or escalate.
Implementation notes
- Consider local consent requirements before enabling behavioural telemetry.
- Pair with AutoKYC’s consent-aware analytics to avoid premature data collection.
Operational considerations
- Email and phone intelligence may be limited in jurisdictions with strict data minimisation rules.
- High-volume device fingerprinting can incur additional SEON usage charges.
- SEON does not perform sanctions screening; rely on AML connectors for regulatory checks.