Define the pattern.
Set the payment rail, customer segment, and time window. Combine the conditions that should trigger a review.
Your procedures, translated into clear conditions.Sphinx Rules Engine
Transaction monitoring, fraud detection, and name screening, shaped around your procedures. Raise the right alert. Understand the context. Know what comes next.
Sphinx runs on your rules so every decision stays yours.
Flag business accounts sending 5 or more ACH payments totalling over $25,000 within 24 hours. Create a case for compliance review.
Transaction monitoring & fraud
Connect the rule, the customer, and the activity. Give your team the context behind every alert.
Set the payment rail, customer segment, and time window. Combine the conditions that should trigger a review.
Your procedures, translated into clear conditions.Bring related payments together around the customer. See the amount and frequency that turned individual transactions into an alert.
One customer. A connected view of the activity.Business account · Wholesale trade
The combined activity meets both conditions in TM-012.
Open the transactions behind the rule hit. Keep the matched conditions and supporting records together for the analyst.
Every alert comes with a reason to review.| Time | Recipient | Amount |
|---|---|---|
| 09:12 | Northline Supply | $2,400 |
| 10:04 | Cedar Logistics | $3,800 |
| 11:38 | Harbor Wholesale | $5,200 |
| 13:16 | Cedar Logistics | $6,100 |
| 14:42 | Northline Supply | $6,900 |
| 16:05 | Harbor Wholesale | $8,000 |
Name screening
Find potential matches, compare the details, and route the result under your screening policy.
Select the sanctions, PEP, and internal watchlist sources your program requires. Bring potential candidates into one review.
People and businesses, screened to your scope.Sources in your policy
Combine face matching with aliases, dates of birth, and identifiers. Compare available photos side by side to assess potential matches with more context.
Missing information is not a mismatch.

Visual evidence supports the review. Identity still needs verification.
Apply your review criteria and hand the candidate to the right team. Keep the reasoning and unresolved questions with the case.
Your team keeps the final decision.The name and date of birth align, and face matching adds supporting evidence. The source identifier is still missing.
Connected to Sphinx OS
Rules find the activity. Sphinx brings the investigation, the people, and the review together.
Capture the activity or identity match, the rule that fired, and the policy behind it.
Sphinx agents gather customer history, counterparties, and supporting evidence to explain the alert.
Bring the evidence and a reasoned recommendation to the right reviewer. Keep exceptions and uncertainty visible.
Keep the triggering rule, evidence, rationale, and reviewer action connected to the case.
Designed for your operation
Bring detection and investigation together, with the flexibility to work around your institution.
Make the conditions explicit. Keep thresholds, customer segments, and review criteria connected to your policy.
Give analysts the supporting evidence and reasoning, with gaps and uncertainty clearly identified.
Move from a triggered rule to a case in Sphinx OS, or bring the investigation into your existing workflow.
See it with your team
Explore transaction monitoring, fraud detection, and name screening with the workflows that matter to your institution.