SafeWatch AML gives you real-time and post-facto monitoring, intelligent detection, and account-level behavioural insights to reduce false positives and surface hidden risk. Built to align with global regulations and scale with your institution.
Traditional systems struggle to keep up with complex money laundering tactics. SafeWatch AML uses real-time behavioural analytics and AI-driven insights to detect, investigate, and reduce financial crime with greater precision and efficiency.
Reduce manual workloads through behavioural analytics and AI-powered detection.
Detect suspicious behaviors early and minimize exposure to regulatory penalties.
Customizable workflows and visual analytics improve investigation speed and team efficiency.
AI models learn and optimize alert thresholds to cut noise and highlight real risks.
SafeWatch AML is a key component of SwiftNexus' compliance suite, delivering robust anti-money laundering capabilities to financial institutions worldwide. Track and analyse transaction data in two modes, online and offline, giving you the power to monitor transactions as they happen in real-time or review historical transaction data to identify complex patterns and relationships that may indicate money laundering.
Built with a modular architecture, SafeWatch AML allows you to choose the specific components you need, from AI-driven risk scoring to regulatory reporting.
Request a DemoCombines real-time transaction monitoring with historical data analysis to make sure no suspicious activity goes undetected.
Unsupervised AI models continuously assess behavioural patterns at the account level. They surface anomalous activity and generate alerts that help reduce false positives and uncover emerging risks.
Choose from a pre-configured scenario library or create your own rules to monitor unusual behaviour and adapt to evolving risks and regulations.
Uncover complex relationships and get context to suspicious activity that transaction-level monitoring alone can't detect.
The system collects both real-time and historical transaction data from all of your sources, then centralises it into a clear, user-friendly dashboard that shows risk patterns and suspicious behaviour at a glance.
Choose from our predefined library of AML scenarios or create your own using the Rule Builder. You can also combine multiple rules to catch money laundering typologies that use more complex risk patterns.
By employing a risk based approach our dynamic risk scoring model automatically assigns risk scores to customers, accounts and transactions. That means you can prioritise alerts, ensuring your team focuses on the most serious threats first.
Using unsupervised AI models, SafeWatch AML analyses transaction patterns to fine-tune detection thresholds. This can lead to a reduction in false positives, improving accuracy while saving your team time.
Set up detection and investigation workflows that match your organisation's structure and compliance processes.
AI-driven analytics highlight anomalous behaviour and highlights hidden connections between accounts, helping to identify suspicious activity that warrant further investigation.
SwiftNexus is trusted by more than 800 global financial institutions, including 11 of the top 50 banks. Our technology gives them peace of mind every day by securing a safer future for everyone.
Everything you need to know about AML product integration. What it means for payments applications, technology systems, operational systems and your working team. Download the brochure and start your journey.
Learn how SafeWatch goAML simplifies regulatory reporting with automated, structured submissions that meet UNODC requirements. Download the fact sheet to streamline your AML compliance and reduce manual reporting effort.
SafeWatch AML enables institutions to respond swiftly to the rapidly changing regulatory landscape, without the need for costly system overhauls. The platform is modular, allowing compliance teams to implement new detection scenarios based on emerging threats, and add specific monitoring scenarios when new regulations emerge.
The platform supports all key international and local regulatory frameworks including FATF (39 member jurisdictions including the USA, UK and Canada), EU Anti-Money Laundering Directives (all 27 EU member states), and OFAC (USA) requirements. The built-in goAML module will also format and submit reports according to United Nations standards to keep you fully compliant.
SwiftNexus products are toolsets designed to work together for maximum protection and security. Stacking our products into a modular solution that fits your exact needs is highly recomended to reduce financial crime, fraud and other nefarious acts that could compromise your network.
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Get in touch with our expert team and learn more about how SwiftNexus can set you on the road to a secure, successful financial future.