SafeWatch AML is a robust anti-money laundering (AML) solution designed for financial institutions globally, serving as a key component of Eastnets’ compliance suite. It offers comprehensive capabilities for real-time and post-facto monitoring, intelligent detection, and account-level behavioral insights, specifically engineered to reduce false positives and uncover hidden financial risks. The system is built to align with evolving global regulations and is highly scalable to meet the demands of any institution. Traditional AML systems often struggle to keep pace with complex money laundering tactics. SafeWatch AML addresses this challenge by leveraging real-time behavioral analytics and AI-driven insights, enabling financial institutions to detect, investigate, and significantly reduce financial crime with greater precision and efficiency. It allows for the tracking and analysis of transaction data in both online (real-time) and offline (historical) modes, providing the power to monitor transactions as they occur or review past data to identify complex patterns and relationships indicative of money laundering. The solution contributes to lower compliance costs by reducing manual workloads through its behavioral analytics and AI-powered detection. It helps protect institutional reputation by detecting suspicious behaviors early and minimizing exposure to regulatory penalties. Furthermore, it boosts operational performance through customizable workflows and visual analytics that improve investigation speed and team efficiency. Its AI models continuously learn and optimize alert thresholds, leading to a significant reduction in false positives and a focus on real risks. The platform's modular architecture allows institutions to select specific components, from AI-driven risk scoring to automated regulatory reporting, ensuring tailored solutions and seamless integration with existing systems. SafeWatch AML supports all key international and local regulatory frameworks, including FATF, EU Anti-Money Laundering Directives, and OFAC requirements, with a built-in goAML module for automated, structured submissions adhering to UNODC standards.

Features & Benefits

• Dual-Mode Monitoring
  • Combines real-time transaction monitoring with historical data analysis to ensure no suspicious activity goes undetected, providing comprehensive oversight.
• AI Account Risk Alerts
  • Utilizes unsupervised AI models to continuously assess behavioral patterns at the account level, surfacing anomalous activity and generating alerts that help reduce false positives and uncover emerging risks.
• Rule Builder and Library
  • Offers a pre-configured scenario library and the flexibility to create custom rules, enabling institutions to monitor unusual behavior and adapt swiftly to evolving risks and regulations.
• Network Analytics for Investigative Workflows
  • Uncovers complex relationships and provides crucial context to suspicious activity that transaction-level monitoring alone cannot detect, enhancing investigative depth.
• Built-in goAML Reporting
  • Streamlines and simplifies compliance with automated goAML reporting, reducing manual workload while adhering to UNODC requirements for structured submissions.
• Modular and Scalable Infrastructure
  • Allows tailoring SafeWatch AML to specific institutional needs, with the option to expand and integrate additional components as requirements evolve.
• Reduced False Positives & Enhanced Detection Quality
  • AI models learn and optimize alert thresholds to cut noise and highlight real risks, improving accuracy and saving team time by focusing on the most serious threats.
• Improved Operational Performance & Compliance
  • Customizable workflows, visual analytics, and automated processes reduce manual workloads, improve investigation speed, and ensure alignment with global regulatory frameworks without costly system overhauls.