Azentio revamps AMLOCK platform to tackle AML with AI precision

By Gloria Methri

Azentio Software has introduced the latest version of its AMLOCK anti-money laundering (AML) platform, marking a significant evolution in the company’s approach to financial crime compliance. Designed for financial institutions navigating increasingly sophisticated threats and a tightening regulatory landscape, the new AMLOCK leverages advanced artificial intelligence (AI) and machine learning (ML) to enhance detection accuracy, streamline compliance operations, and reduce associated costs.

The platform adopts a comprehensive, lifecycle-based model for AML compliance, spanning onboarding, customer due diligence, transaction monitoring, risk assessment, investigation, and regulatory reporting. According to the company, financial institutions using the updated platform have reported reductions in false positives by up to 40% and compliance cost savings of at least 20%.

The latest iteration of AMLOCK introduces a modular, AI-driven architecture that supports scalability across diverse financial services organisations, from regional banks to global entities. Enhancements in customer and transaction screening, alert triage, case resolution, and know-your-customer (KYC) processes reflect a focus on operational efficiency, user-centric design, and regulatory adaptability.

Notably, institutions operating on AMLOCK have maintained a track record of zero AML-related regulatory penalties—an indicator of the platform’s risk-mitigation efficacy and compliance reliability.

Key Capabilities in the Updated AMLOCK Platform

• Enhanced Screening Accuracy: The platform utilises advanced matching algorithms across customer and transaction screening, with support for multiple list types—including global watchlists, local regulatory lists, and customised entries. It also incorporates a rich SWIFT message library with support for regional formats.

• AI-Led Alert Triage and Case Management: Introduces centralised workflows for investigations, audit trails, and collaborative resolution, enabling compliance teams to prioritise and resolve alerts with greater precision.

• Integrated KYC and Onboarding Automation: Combines identity verification, corporate intelligence, and customer risk profiling into a unified compliance framework. Features such as peer grouping, dynamic risk scoring, and trigger-based reviews allow institutions to maintain an up-to-date understanding of client risk exposure.

• Advanced Transaction Monitoring: Comes with over 400 pre-configured monitoring rules tailored to banking, lending, insurance, and fintech operations. AI models detect emerging patterns, reduce false positives, and support real-time risk detection.

• Continuous Learning and Predictive Decision-Making: This system uses machine learning to suppress alerts deemed low risk, helping compliance teams focus on genuine threats. The system refines its models continuously as it processes new data.

Commenting on the release, Ruchi Tripathi, Director of Product Management at Azentio, said, “Our next-generation AMLOCK is a direct response to these challenges, combining the best of AI technology with a deep understanding of the financial services sector. By significantly reducing false positives, cutting compliance costs, and ensuring zero fines, AMLOCK sets a new standard in AML technology.”

As financial institutions contend with mounting regulatory pressures and an increasingly complex financial crime landscape, solutions like AMLOCK offer a more agile, data-informed approach to compliance, balancing risk management with operational resilience.