Maximize investigator effectiveness

Complete transaction monitoring in one seamless investigator journey

Screenshot of AML (Anti-Money Laundering) Suspicious Activity Alert interface with alert ID A2022050623452 for user NOUREDDINE. The interface displays tabs including Detections, Alert Management, and IET Explanations with detailed scores for Sensa Anomaly Detection (94), Sensa Change in Behaviour (83), Sensa Hotspot (80), Sensa Risk Similarity (80), and customer occupation marked as high risk. A tooltip explains that the alert triggered by the Sensa Score scenario is triaged via NetReveal's Intelligent Event Triage, integrating Sensa scores in risk evaluation, with navigation buttons labeled Back and Next (4 of 7).

Interactive demo

Take a tour to see how AI-driven detection can uncover and prioritize hidden risk in complex transaction behavior.

Screenshot of a software interface showing a list of AML suspicious activity alerts with columns for Alert Identifier, Type/Sub-Type, Description, Age in Days, Main Subject, and Customer Segment. An enlarged inset panel titled General Risk Factors displays scores and data including Sensa Change in Behaviour Score 31, Sensa Hotspot Score 12, Sensa Anomaly Detection Score 45, Acquisition Date 02/11/2003, Cancelled Date 28/10/2007, and status for Monitored, Exempted, and Employee fields.

Get a holistic view of risk

Improve investigator efficiency by up to 40% with a centralized 360° view of all alerts relating to an entity in a single screen.

Customer Accounts tab showing a list of three accounts with account IDs and names linked to Noureddine Darib Noureddine(140), with an 'Automatic' link status and red flag icons. A bar chart details Fedwire channels including Telex, Wire, Telephone, Hold, and Letter with counts. A pie chart shows debit/credit distribution with debit at 54.5% and credit at 45.5%.

Eliminate level 1 triage

Automate the first line of triage with machine learning models that prioritize high-risk alerts while auto-hibernating known false positives.

Screenshot of a financial transaction list showing transaction ID, date, account ID, debit/credit status, base amount in euros, and transaction type, with entries like mortgage, management fee, and redemption loan, alongside a side menu with icons and labels for My Tasks, My Cases, My Alerts, and My Notifications.

Monitor cross-channel behavior

Track entity behavior in real-time, connect suspicious activities, and follow account holders as they execute payments across multiple channels.

Line chart displaying credit and debit transactions from late September to late November, with credit transactions in blue rising sharply from early October, peaking mid-November around 180,000, and debit transactions in red remaining mostly flat below 20,000. A pop-up window shows alerts with ids A2023090524932 and A2023091324569 marked as AML Suspicious Activity with brief descriptions referencing credit and weekly cash withdrawals. A floating label on the right side indicates high risk with a message icon.

Automate data collection

Remove the need for manual data collection with auto-enriched customer risk data provided for every alert enabling faster decision-making.

SymphonyAI Investigation Hub interface showing John Rolands' transactions with a credit and debit bar chart from June 2022 to May 2023, and a transaction list with IDs, dates, types, and amounts. An AI Copilot chat panel on the right shows a query about suspicious foreign credits and an AI response detailing a $65,000 suspicious credit from John Doe of the Cayman Islands with past fraud conviction, plus user options to display subject risk or recent transactions.
SRI INVESTIGATION

Integrate AML with AI-powered case management

Unify your enterprise-wide risk and compliance tech stack and arm every investigator with a generative AI-powered assistant.

Discover more features and functionality of AML Transaction Monitoring

Soluton Benefits

Reduce exposure to risk

Identify and mitigate hidden risks that others may overlook thanks to advanced ML and AI models.

Reduce false positives

Significantly decrease false positive alerts, saving valuable time and resources.

Improve investigator efficiency

Streamline operations, automate manual tasks, and provide a holistic view of risk.

Future-proof compliance

Stay ahead of evolving regulatory requirements and industry standards with advanced AI.