Fraud and AML in silos
Two toolsets, two teams, duplicated screening — and blind spots in the gaps between them.
ThinkGuardReal-time fraud & AML defense.For risk & compliance leaders
Fraud scoring stops the payment in real time. AML intelligence works the long game. They share one canonical record — so nothing a transaction reveals is ever lost between them.
Two toolsets, two teams, duplicated screening — and blind spots in the gaps between them.
Real-time checks stay shallow to hit latency; deep checks arrive too late to stop the payment.
When the regulator asks why, a black-box score has no answer. Every decision needs its evidence.
How it works
Real-time authorization
Screen
sanctions · PEP · watchlist
Score
risk 0–100 from policy rules
Decide
allow · step-up · hold · block
Authorize
answer returned in <100ms
Every decision, feature, and reason code is preserved.
The shared record
One canonical event, not a bare score
Batch picks up exactly where real-time left off
Post-transaction intelligence
✓ Graph analysis
starts from the preserved record
Drift detection
behavior vs. 30/90-day baselines
Daily re-screening
sanctions & PEP watchlists refreshed
Case → SAR
correlated, escalated, and filed
Investigators see the evidence, not a black box.
↩ Cleared now, flagged later? Batch analytics reopen the case — and every pass tunes the policy.
What it means for your leadership team
CIO / CTO
Head of Compliance
Fraud / AML Operations
COO
The impact
Real-time scoring and blocking stop losses before authorization.
Enrichment and domain decision engines cut needless declines and alerts.
Unified workflows, auto-linked entities, and pre-computed evidence.
Queue prioritization, traceable decisions, and immutable history.
Where this stands
Start with the risk that hurts most today and add the other when you're ready. Either way you run one gateway, one case manager, and one audit trail — with every customer-facing decision explainable from day one.