Two types of monitoring
Youverify runs monitoring at two levels simultaneously:Entity-Level Monitoring
Ongoing KYC and AML re-screening. Youverify continuously checks monitored entities against PEP lists, global sanctions databases, adverse-media sources, and your custom watchlists. A new listing or adverse hit raises a signal immediately.
Transaction-Level Monitoring (KYT)
Know-Your-Transaction screening applied to financial activity. Each transaction posted to an entity is evaluated for behavioural anomalies, structuring, velocity patterns, unusual counterparties, and fraud-detection model matches.
Signals: the monitoring umbrella
Signals is the umbrella concept that groups everything you monitor about an entity. A signal is a detected event, pattern, or trigger that warrants attention. Five linked signal types all key back to the same entity identifier:Activities
Activities
The immutable audit trail of every action and verification performed on the entity. Activities cannot be edited or deleted — they form the compliance record you show to regulators.
Behavioural Insights
Behavioural Insights
Patterns in how an entity behaves over time: transaction rhythm, channels used, counterparties, device and access patterns. Behavioural insights move monitoring from single-event flags to a full pattern-of-life risk picture.
Transactions
Transactions
Financial activity posted to the entity and its KYT evaluations. Youverify applies your configured detection models (Fraud Traps) and global screening to every transaction.
Alerts
Alerts
Monitoring outputs generated automatically when signal thresholds are crossed. Alerts need triage — your team reviews, investigates, and resolves them.
Cases
Cases
Investigations escalated from alerts or raised manually. Cases support structured evidence collection and receive an AI-generated summary from Vyra to accelerate review.
Alert lifecycle
When Youverify detects a signal that crosses a configured threshold, it creates an alert and attaches it to the relevant entity. Alerts follow a clear lifecycle:1
Created
The alert is generated automatically from a signal — for example, a sanctions match, a transaction velocity breach, or a Fraud Trap match. The entity’s risk score is updated immediately.
2
Triaged
Your compliance team (or an AI-agent workflow) reviews the alert, assesses the evidence, and determines whether the signal is a true positive or a false positive.
3
Resolved
The alert is closed with a decision recorded: cleared (false positive), actioned (e.g. transaction blocked, entity restricted), or escalated to a case for deeper investigation.
Cases: structured investigations
A case is an investigation opened on an entity, either escalated automatically from an alert or raised manually by a compliance officer. Cases are the human-in-the-loop layer of the monitoring model. Each case provides:- A full timeline of signals, alerts, and activities that led to the case being opened
- An AI-generated summary produced by Vyra to give the assigned reviewer immediate context
- Structured evidence collection so reviewers can attach documents, notes, and decisions
- A clear audit trail of every action taken during the investigation
Cases are attached to the entity, not to an isolated incident. The reviewer sees the complete Entity 360 — all verifications, transactions, and prior alerts — without switching systems.
Vyra: Youverify’s AI compliance copilot
Vyra is the AI layer built into Youverify that automates decision workflows across onboarding, screening, and monitoring. Rather than wiring check-then-decide logic by hand, you deploy Vyra-powered AI agents that orchestrate the same API capabilities and automate decisions end to end across four domains:Customer Onboarding
Verify, score, and approve / reject / restrict / escalate new entities automatically based on your configured rules. Edge cases escalate to a human or a case.
Transaction Screening
Screen parties and transactions before they complete, blocking high-risk activity in real time.
Transaction Monitoring
Watch behaviour over time and raise signals and alerts automatically when patterns cross your thresholds.
Fraud Detection
Apply custom Fraud Trap models — trained on your own data — to catch fraud patterns in real time and across historical activity.
Fraud Traps
Fraud Traps are custom AI detection models trained on your own data, not generic or static rules. Each Fraud Trap is private to your tenant and reflects your specific fraud patterns. When a fraud event occurs, you model it as a Fraud Trap so the platform can detect the same pattern in future activity. You can fine-tune a Fraud Trap at any time to improve its performance as new fraud patterns emerge.Receiving signals via webhooks
You do not need to poll the API for monitoring events. Youverify delivers signals to your systems in real time via webhooks. Configure your webhook endpoints in the Cowork dashboard to receive:Data residency and bring-your-own-database
For transaction screening and monitoring, where data physically resides can itself be a regulatory requirement. Youverify supports two approaches:- Data residency by region: select the country or region where your data is stored and processed, ensuring locally-generated data never leaves the required jurisdiction. Data can be moved between supported regions without losing history or the Entity 360.
- Bring your own database (BYODB): connect your own datastore so screening and monitoring workflows run against your data in place. Results — signals, alerts, scores, and cases — still attach to the entity 360 in Youverify.