An alert becomes a case
A monitoring trigger or a request from an authorised body opens a case: amount, participants, transaction history. The case is assigned to an analyst, status — “In progress”.
Anomalies in transactions rarely come alone. NeuroVision lays out an alert as a graph: customers, accounts, counterparties and shared details — so that an analyst sees the chain, ring or fan of transfers, and the responsible officer makes a decision based on the assembled case file.
Behavioural analysis finds an unusual transaction; the graph explains why it was needed and who else is in the scheme.
A transfer of RUB 480,000 for “consulting services” is not suspicious in itself. What is suspicious is that an hour later the same money went on in three payments, and the recipients are registered at one address. This is visible only in the links.
Transit, structuring and circular transfers are built from several customers and accounts. Different employees review the alerts for each — and no one sees the whole picture.
The responsible officer decides how to qualify the transaction, and the grounds must be recorded. The graph and the case file show what the decision is based on.
A request from Rosfinmonitoring or a Bank of Russia inspection may come years later. Investigation materials are stored together with the action log, and the case can be opened as the analyst saw it.
A graph node is a participant, a link is a payment or a shared attribute. Six kinds of links that make up the picture. How a payment gets into monitoring and why it receives a high risk — on the payment transaction monitoring page.
Who, to whom, how much and when. Link thickness is the amount, the arrow is the direction, time is the scale under the graph. You can see how many hours the money spent in the account.
One address, phone, email or manager across different customers. The data comes from KYC questionnaires and registries by INN.
Logging in to internet banking from the same device or address by formally unrelated customers — a signal that one person controls the accounts. The data comes from your remote banking systems and processing.
Founders, directors and beneficiaries of participating companies. Two “independent” firms with a common founder become one group. More — on the UBO page.
Matches with Rosfinmonitoring lists, sanctions and PEP, as well as the customer risk level — are marks on nodes. A node from a list colours the whole chain.
Behavioural analysis of transactions flags what is atypical for this customer: a new circle of recipients, night transfers, turnover above the usual. The graph shows who the deviation is connected with.
Money passes through 3–5 accounts in a row and does not stay anywhere. Detection of transaction chains starts from the first link: the graph completes the rest, even if they are in other alerts.
Payments return to the original customer through intermediaries. Turnover grows, while the group gets no more money. The ring is visible only when the last link closes.
One account sends money to dozens of recipients within a short time in amounts below your thresholds. This is a transfer pattern that a single-transaction rule misses.
The reverse shape: dozens of senders transfer to one account, which immediately forwards everything in a single amount. A typical trace of “managed” accounts.
Companies with no shared payments but with one manager, address or device. If one of them is in a scheme, the rest are candidates for enhanced checks.
The customer is clean, but through one or two links is connected to a person from a list or a sanctions list. The graph shows the length and amounts of this path.
A shape on the graph is a reason for a check, not proof. The transaction is qualified by the responsible officer under your organisation’s internal control rules.
Six steps an analyst goes through. Every action stays in the case log.
The law does not require a graph. It requires that the grounds of a decision be recorded, transaction details be reproducible, and materials be kept for five years. The graph and the case file cover this in one action.
Three sets of materials from one case. The composition is configured to your internal control rules and suspicious transaction report templates.
For the responsible officer.
A draft from a template.
Years later — the same as on the day of the decision.
The graph finds links faster than a person and finds too many. Four common coincidences that the analyst marks as explained. How to handle a customer name matching a list — on the Rosfinmonitoring lists check page.
What is visible: dozens of companies at one address.
How to check: whether there are payments, shared managers or devices between them. One address with no other links is noise.
What is visible: one phone, email or IP across different customers.
How to check: whether it matches the contact of the servicing company. A confirmed explanation is saved in the case and is not raised again.
What is visible: a node through which thousands of payments flow.
How to check: this is a hub by the nature of the business. Such nodes are marked and excluded from shape search so as not to link everyone with everyone.
What is visible: regular transfers between individuals and a fan of payouts from one company.
How to check: amounts and frequency match the profile, the payment purpose is clear.
The price depends on transaction volume, graph depth and installation option. We will calculate it for your flow. Check rates — on the price matrix.
Calculate the costCloud in Russia or your perimeter. Personal manager. Encryption and access control.
Discuss the connectionIt is a review of an alert or a request, after which the responsible officer decides whether a transaction is suspicious. The analyst opens up the participants’ links, checks counterparties, requests documents and records the grounds. NeuroVision shows the links on a graph and gathers the materials in one case.
Monitoring checks every transaction and raises an alert. An investigation starts after the alert: it finds out whether the transaction is part of a scheme, who else is involved and what supports the conclusion.
The graph connects payments by accounts and time. If money passes through several accounts in a row and does not stay anywhere, the whole chain is visible, even when its links ended up in different alerts and with different employees.
Transactions from core banking or processing, customer data from KYC and registries, and optionally devices and IPs from remote banking. The more shared attributes are connected, the more links you see.
The responsible officer of your organisation under the internal control rules. The service does not qualify transactions itself: it shows links, highlights shapes and gathers the grounds.
Yes. The message and SAR/STR are filled with case data: participants, transactions, grounds. The template is configured to your forms. The organisation sends the information through its own channel.
The law requires documents to be kept for at least five years from the date the relationship with the customer ends. The retention period for cases in NeuroVision is set by the contract, or by your infrastructure when installed in your perimeter.
No. The law prohibits informing customers and other persons of the measures taken. A document request is worded under your rules, and access to cases is limited by roles.
Find the customer in the console, open the related cases and export the case file: summary, graph, transaction table and log. What to include in the reply is decided by the responsible officer.
Fraudulent transaction patterns — drops, fans of transfers after a theft — are visible on the graph in the same way. But transfers without the customer’s consent are governed by 161‑FZ, and there is transaction fraud monitoring for them.
Tell us how many alerts a month your team reviews and where transactions come from — we will show the graph in a demo and propose a connection scheme.
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