Behavioural signals
Login velocity, transaction patterns, time-of-day consistency, cross-channel coherence. Deviations from established behaviour patterns flag account takeover attempts before fraud completes.
SENTR · SOLUTIONS · IDENTITY INTELLIGENCE
Identity Intelligence
Post-KYC fraud happens when synthetic identities age through verification, account takeover defeats point-in-time checks, and multi-accounting rings coordinate across accounts. SENTR's identity graph surfaces what individual account views miss.
Live integration required to demonstrate the identity graph. Architecture Session scopes your setup — no pitch deck.
KYC passes. The fraud happens after.
Point-in-time KYC checks verify an identity at onboarding. They cannot detect what happens next — synthetic identities maturing through low-value transactions before attacking, accounts being taken over by credential theft, or fraud rings coordinating across dozens of accounts that each individually look clean.
- Synthetic identities are aged slowly through legitimate behaviour. Point-in-time verification can't see multi-week identity maturation.
- Account takeover attempts look like legitimate transactions at the individual account level. The deviation only shows at the entity cluster level.
- Multi-accounting rings coordinate across accounts. No single account violates thresholds. Collectively, they're unmissable.
"We passed KYC on all of them. The fraud was in how they moved money in concert."
How the identity graph works
Not point-in-time checks. A continuously-updating cross-entity graph.
SENTR builds a cross-entity identity graph that links transaction behaviour, device signals, network patterns, and identity data across your full customer base. Synthetic identities, account takeover attempts, and multi-account abuse rings are surfaced through graph relationship analysis — not point-in-time rule triggers. The graph updates continuously as new signals arrive, flagging entity clusters that individually look clean but collectively exhibit coordinated fraud behaviour.
Individual accounts look clean. SENTR's graph reveals the cluster. The pattern that's invisible in single-account views becomes obvious at the network level.
The signals point-in-time checks don't see
Every entity. Every signal. Continuously updated.
Device signals
Device fingerprints, OS/browser/hardware combinations, anomaly detection, jailbreak indicators. Device changes correlated against account history — not treated in isolation.
Network signals
IP geolocation, VPN/proxy detection, ASN clustering, velocity across IP ranges. Cross-account IP overlap is a primary fraud ring indicator.
Identity signals
KYC data consistency, name/address anomaly detection, document signals, historical identity links. Synthetic identities exhibit distinct maturation patterns detectable at the graph level.
What identity intelligence surfaces
Synthetic identity detection
Synthetic identities mature over weeks through low-value transactions before attempting high-value fraud. The graph identifies velocity anomalies, device/IP inconsistencies, and behaviour gaps that point-in-time checks miss.
Account takeover prevention
ATO attempts show up as sudden device changes, IP anomalies, behaviour shifts, and payment method additions. The graph flags these as deviations from the established identity cluster before fraud completes.
Multi-accounting rings
Fraud rings coordinate across accounts — same devices, IPs, payment methods, or behaviour patterns. Individual accounts look clean. The graph reveals the cluster, blocking the entire ring.
The identity graph requires live integration — the Architecture Session scopes it
Book a 20-minute Architecture Session. We walk through your current identity stack, map the post-KYC fraud surface specific to your customer base, and scope the graph integration. Live identity graph demonstration included.
Book your Architecture Session →Read about EU AI Act explainability requirements →
Live integration required to demonstrate identity graph. Architecture session is scoping only — no commitment.