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Fight financial crime with adaptable, connected and contextual technology.

NICE Actimize provides financial crime solutions leveraging AI and machine learning. Its entity-centric AML solutions offer regulatory compliance and auditability. The platform offers real-time fraud prevention across channels, adapting to emerging threats to safeguard customers and institutions. SURVEIL-X provides holistic trade compliance by correlating trade-related data, breaking down data silos for deeper analysis. The investigation and case management module consolidates data for actionable intelligence, improving decision-making. Actimize also provides access to diverse data sources for customer risk insights throughout their lifecycle. Its solutions help financial institutions reduce regulatory, financial, legal, and reputational risks. The platform integrates with existing systems to strengthen AML risk management processes.
NICE Actimize provides financial crime solutions leveraging AI and machine learning.
Explore all tools that specialize in analyze financial data. This domain focus ensures NICE Actimize delivers optimized results for this specific requirement.
Explore all tools that specialize in anti-money laundering. This domain focus ensures NICE Actimize delivers optimized results for this specific requirement.
Utilizes machine learning algorithms to identify unusual patterns in transaction data, enhancing the detection of suspicious activities.
Analyzes user behavior patterns (e.g., typing speed, mouse movements) to detect account takeover attempts.
Automates repetitive tasks in the investigation and case management process, such as data gathering and report generation.
Visualizes relationships between entities, accounts, and transactions to uncover hidden connections and potential fraud networks.
Offers a scalable and secure cloud environment for deploying and managing financial crime solutions.
Initial consultation to assess specific needs and compliance requirements.
Data integration setup with existing systems and data sources.
Configuration of rules and thresholds based on risk appetite and regulatory standards.
User training on the platform's features and functionalities.
Testing and validation of the system's performance and accuracy.
Go-live deployment with ongoing monitoring and support.
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