Every alert opens with its evidence.
The similarity score, the source list, the matched attributes and the match status are on the alert from the moment it opens.
How a name is scoredDetectX® checks customers, counterparties, entities and vessels against sanctions lists, PEP registers and adverse media sources, and shows the relationships between them. Every alert arrives with its similarity score, the source list the match came from, and a recorded history of what your analysts did next.
One Platform. Total Compliance.
One Platform. Total Compliance.
One engine, every list, every check.
DetectX® Name Screening checks every customer, counterparty and entity against sanctions lists, PEP registers and your own lists: at onboarding, on every change and in periodic runs.
Each name is scored against the threshold you set, and the result goes back to your core system.
Every name, every time it matters.A customer is screened when they are opened, whenever their data changes, in periodic batch runs over your whole customer base, and whenever an analyst checks a name by hand. Every route uses the same engine and lands in one queue.
One engine for every subject.Persons, entities, vessels and financial instruments are scored against the same lists, each on the attributes that identify it.
Scored against your threshold.Each name and its attributes are compared with every list entry. The similarity score is the percentage to which the name matches the name on the list, measured against the threshold you set. PEP checks can carry their own threshold, separate from sanctions checks.
Above your threshold, so an alert is generated. The score is the percentage to which the name matches the name on the list.
A cleared match stays cleared.When an analyst confirms a False Positive, the decision goes on the White List with a justification. Tuning tables refine every check, so a known False Positive does not return on the next run.
A name scores above your threshold and an alert opens for review.
The analyst finds it is not the same person and closes the alert with a justification note.
After four-eyes review, the pair of client record and list entry goes on the White List. The decision stays in the audit trail.
The same known False Positive is not raised again.
Common words, synonyms, dissimilar entries, stop words and ignore words refine every check.
White List entries are reviewed periodically and removed when they no longer hold.
Four ways in, one engine.Single names arrive from your core system or through the REST API, whole customer bases are re-screened in batch, and analysts check names by hand. Every route uses the same matching and lands in the same queue.
One import route for every list.Sanctions lists, PEP registers, blacklists and your own lists are imported from the providers you subscribe to, and every check screens against the current version.
Detection is not the hard part. The review is.
A screening engine that flags generously is easy to build and impossible to staff. DetectX® decides what reaches an analyst at all, and every alert that does arrives with the evidence to work it.
The similarity score, the source list, the matched attributes and the match status are on the alert from the moment it opens.
How a name is scoredFilter by status, date, minimum similarity, list, list type and previous listing, in any combination, and start with what counts.
WorkflowsA confirmed False Positive is not raised again on the next run.
A watchlisted subject stays under closer monitoring, listed or not.
Workflows set the steps, and comments and forms attach to the alert.
Link Analysis shows who the subject is connected to.
Standard and custom reports, and SAR/STR reports for your Financial Intelligence Unit, all produced from the alert itself.
Regulatory ReportingMediaSearch opens from the alert on the same subject, scores every article for risk and sentiment, and publishes back what matters.
Adverse Media SearchOpened from AL-ONLINE-00312748
The copilot explains every alert and suggests a next step.
The agent triages new alerts, and your team decides what it may act on.
Most systems find the match. DetectX® carries the review.
Finding a name on a list is the easy part. What takes your team’s time is deciding each alert and showing how it was decided. DetectX® brings the evidence, the connections and the record to the alert, so the review is faster and the decision stands up.
In production
Every decision, on the record.
From the moment a match opens as an alert to the moment it is signed off, every step is recorded against the alert itself: who acted, when, on what evidence and why. An examiner reads the decision from the record, not from memory.
One alert, as the record holds it · invented example
The score, source list, matched attributes and match status are on the alert from the moment it opens.
The agent records its verdict and confidence score, and routes the alert to review.
Role-based user rights decide who may claim and work the alert.
Matched on name, date of birth and nationality. Linked people and companies stay attached, and an adverse media search opens from the alert on the same subject.
Connections between linked subjects Adverse media on the same subject
False Positive, with the justification for it. The analyst requests a White List entry.
A second reviewer claims the alert actively. Their reason and decision are recorded against it.
Name Screening shares the AlertViewer, lists and audit trail with every DetectX® module. Workflows, Link Analysis and SAR/STR reporting for your Financial Intelligence Unit all draw on the same record.
Investigation workflows and four-eyes review Regulatory reporting
Three ways in, depending on where you are.
Each one is a conversation with the people who build DetectX®, with no obligation.
Watch Name Screening work through real alerts with a product specialist.
Bring your lists, volumes and core banking system. We map where DetectX® fits.
Speak with a compliance team already running DetectX® Name Screening.
Try it yourself: five steps, from a name to a recorded decision.
DetectX® screens every name, gives each alert an AI recommendation, and records every step your team takes until the alert is closed. Your analyst decides on every recommendation.
Illustrative exampleInvented Names & Data
Start with Name Screening. Add what you need next.
Every DetectX® solution runs on the same underlying platform, sharing its capabilities, AlertViewer and audit trail.
Pick one to see what it adds to Name Screening.
What compliance teams ask before choosing DetectX®.
A sanctions match means you may be prohibited from dealing with the person and may have to freeze their assets. A PEP match does not prohibit the relationship: it raises the risk and calls for enhanced due diligence. DetectX® screens against both kinds of list, and PEP checks can carry their own threshold.
The global sanctions lists your organisation subscribes to, plus PEP registers, blacklists, watchlists and your own internal lists. Lists are imported from your providers, every check runs against the current version, and the source list is recorded on every alert.
Single names are screened in real time as they arrive from your core system or through the REST API. Whole customer bases are re-screened in batch, from a file upload or the DetectX® data mart. Each result goes back as hit or no hit, and both routes feed the same alert queue.
Yes. An AI agent triages every new alert with a verdict and a confidence score, and the AI copilot sets out what matches, what differs and what is missing. Your team decides which verdicts the agent may act on, and the analyst makes the final call.
Most of the cost of name screening is review time. The business case comes from three drivers: how many alerts reach an analyst, how long each one takes to work, and how many cleared matches come back. DetectX® addresses all three with tuning, the White List and evidence on every alert.
The Name Screening brochure as a PDF. A German edition is in Downloads.
Download the brochureWebinarThe False Positive Reduction TrapScreening noise has become a compliance risk in its own right. Insurance compliance and financial crime specialists examine why cutting false positives so often weakens genuine detection.
Watch the webinarCase studyGenerali SwitzerlandTwo decades with Prospero, from name screening in 2007 to real-time transaction filtering in 2024, now handling more than 27 million name checks a year.
Read the case studyName Screening · DetectX®
Book a session on your own institution’s alert types. Bring your questions about thresholds, list coverage and the four-eyes review workflow.