Behavioural Analysis
Unlock insights into marketing and sales opportunities while staying ahead of evolving threats with real-time, self-learning detection capabilities.
Why Behavioural Analysis is Essential for AML and Fraud Prevention
Behavioural analytics is a discipline of data analytics that concentrates on understanding and predicting human behaviour. The practice involves the collection of data from multiple sources to identify patterns and trends in the behaviour of a specific group of individuals.
Studying these patterns can provide insights into how members of a group act in a given situation and can help predict their future actions.
DetectX® AI-Powered Behavioural Analysis leverages multiple advanced and optimised AI algorithms and analytical techniques to detect, prevent, and mitigate threats in real-time, empowering financial institutions to proactively manage risks while uncovering potential for revenue growth through predictive insights.
Core Features of DetectX® Behavioural Analysis
DetectX® Behavioural Analysis combines AI-powered profiling and predictive analytics to deliver continuous, accurate detection of risks while unlocking business opportunities. Leveraging self-learning algorithms, the platform provides organisations with the ability to analyse vast datasets, uncover hidden patterns, and adapt swiftly to new challenges. By ensuring compliance with stringent standards such as the Financial Action Task Force (FATF) guidelines, DetectX® goes beyond regulatory requirements to enhance both risk management and revenue generation.
Automated Behavioural Detection
Identifies unusual or suspicious behaviours across clients, transactions, and business relationships, detecting patterns and anomalies before they result in harm.
Self-Learning Algorithms
Using supervised and unsupervised learning, Behavioural Analysis recognises known risk behaviours while uncovering new, previously undetected patterns, including nonlinear relationships and concealed networks.
Dynamic and Configurable Risk Modelling
Customisable model templates tailored to each financial institution’s unique business model allow for effective, organisation-specific threat detection. Templates leverage advanced rule design for high-risk transactions and compliance with high-risk FATF country criteria.
Integrated Link Analysis
Link Analysis finds, match and visualises suspicious relationships and networks between clients, transactions, and entities, enabling a holistic view of complex or layered laundering schemes.
Detecting Sales Opportunities
Beyond compliance, DetectX® identifies up-selling and cross-selling opportunities, dynamic advertising triggers, and churn risks, transforming behavioural analysis into a tool for revenue generation.
Behaviour-focussed Business Rules
With DetectX® Rules designer, companies can adapt existing and create new custom rules for nuanced risk factors, including high-risk criteria, unusual transaction volumes, and client-specific behaviour indicators.
The Power of AI-Driven Predictive Analytics
Uncover Real-Time Insights with Historical Data and Machine Intelligence
DetectX® Predictive Analytics Engine provides unmatched precision by analysing vast datasets, adjusting dynamically to evolving tactics, reducing false positives, and optimising detection.
Why Financial Institutions Trust DetectX®
Reduce False Positives, Improve Compliance, and Unlock Growth Opportunities.
With DetectX® Behavioural Analysis , compliance is fully auditable and traceable while uncovering opportunities for business growth. Complete model lifecycle management ensures compliance with regulatory standards through automatic validation, calibration, and comprehensive audit trails. This transparency builds a solid foundation for regulatory compliance, improving stakeholder trust and simplifying internal and external audits.
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AI-powered detection provides timely, precise alerts, allowing compliance teams to focus on high-risk cases and enhance resource efficiency.
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By dynamically adapting to evolving data patterns, DetectX® AI significantly reduces unnecessary alerts, streamlining compliance efforts and enabling faster investigations.
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Tailored modelling based on specific business requirements ensures the solution is fully aligned with each organisation’s compliance mandates, minimising regulatory risk and fostering trust.
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Automate repetitive processes in AML and fraud detection, freeing up compliance teams to focus on strategic tasks and reducing the time spent on manual intervention.
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DetectX® identifies opportunities to enhance marketing and sales strategies by analysing customer behaviour, ensuring data-driven growth.
Enhancing AML and Fraud Detection Beyond the Basics
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Enhanced Threat Detection
DetectX® identifies complex and previously undetectable patterns, including high-risk behavioural precursors, to pre-emptively address potential risks.
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Continuous Optimisation
DetectX® Models self-update and improve based on each detection cycle, with continuous fine-tuning to stay ahead of new fraud tactics.
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Regulatory Adherence
Compliance is easier to manage with high-level adherence to FATF, KYC, and goAML standards, meeting the rigorous demands of international regulators.
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Increased Customer Trust
Automated detection, reduced false positives, and transparent operations provided by DetectX® improve client confidence, while minimising disruption to legitimate transactions.
Comprehensive Protection for AML, Fraud, and Cyber Threats
Future-Proof Your Compliance and Revenue Strategy
Integrated within the DetectX® Analytics platform, DetectX® Behavioural Analysis module provides a powerful solution that evolves with the threat landscape while driving marketing and sales performance. Contact us to discover how DetectX® can redefine your compliance and business growth strategies.
DetectX® Predictive Analytics Platform
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Alert Management
Simplifies alert management with tools for collaboration, audit tracking, and prioritisation, enabling compliance teams to handle alerts effectively and improve response times.
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Behavioural Analysis
Analyses patterns and anomalies in user behaviour to detect potential fraud and AML risks, providing insights that enhance the precision of risk assessments and improve compliance outcomes.
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Business Rules Designer
Provides customisable business rules that adapt to regulatory and operational needs, boosting security and efficiency across multiple compliance and monitoring functions.
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Clustering and Modelling
Uses advanced data clustering and modelling techniques to uncover patterns and relationships, enabling financial institutions to better understand and predict potential risks.
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Enhanced AI Search
Combines advanced algorithms, fuzzy matching, and real-time processing to deliver precise insights, improving risk management, decision-making, and operational efficiency across industries.
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Evolutionary Learning
Continuously adapts AI models using real-time data and scenario simulations, ensuring optimised performance, proactive decision-making, and scalable solutions for dynamic environments.
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Link Analysis
Maps connections between entities to uncover hidden associations that could indicate fraud, money laundering, or other risks, enhancing investigative and due diligence processes.
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NLP
Applies NLP techniques within Adverse Media Search to extract and analyse relevant information from unstructured data, enhancing the ability to identify risk factors from media sources.
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Pattern Recognition
Identifies trends, anomalies, and clusters in complex datasets, transforming raw data into actionable intelligence to enhance risk management, operational efficiency, and decision-making.
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Profiling and Scoring
Uses advanced analytics to categorise entities and assign dynamic risk scores, enhancing decision-making, risk management, and operational efficiency across industries.
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Transaction Monitoring
Continuously monitors financial transactions to spot unusual patterns and suspicious activities, supporting organisations in compliance efforts and safeguarding against fraud.
