Free Access ACAMS CAMS New Release

AI-powered dashboards summarizing flagged transactions are the most effective feature for improving investigator efficiency, as they consolidate and present relevant data from multiple sources in a structured, actionable format - reducing time spent on manual data gathering and enabling quicker decision-making.

Policies outline the guiding principles and objectives of an organization’s AML framework, setting the tone for compliance. Procedures translate these policies into detailed, actionable steps that staff must follow. Both are essential for effective AML compliance.

Public-Private Partnerships (PPPs)are collaborative initiatives involvinglaw enforcement, FIUs, and financial institutions. Their objective is to improve theefficiency and effectivenessof the fight against money laundering, terrorist financing, and other financial crimes bysharing both operational and strategic intelligence.

Option A – Exchange operational information between public authorities and obliged entities:

PPPs often facilitate real-time or near-real-time information sharing that supportsspecific investigations and the detection of suspicious activity, helping financial institutions respond quickly and accurately to ongoing threats.

Option B – Exchange strategic information between FIUs and obliged entities:

Strategic-level intelligence sharing helps financial institutionsunderstand typologies, risk trends, and evolving criminal methods, thereby strengthening their risk assessments and transaction monitoring frameworks.

Option Cis incorrect: Strategic information exchange between private institutions is limited and heavily regulated.

Option Dis incorrect: FATF does not collect or manage databases of suspicious activity reports; it sets standards and reviews national frameworks.

Transitioning to AI and machine learning in transaction monitoring offers benefits such as long-term reduction in false positives, improved adaptability to evolving financial crime risks, and enhanced detection of complex or emerging patterns and anomalies that rules-based systems may miss.