Data Detection and Investigation

Data Detection and Investigation

Reduce fraud losses. Increase revenue. Enhance operational efficiency.

Take a unique, hybrid approach to fraud detection and prevention. A powerful fraud analytics engine uses multiple techniques, including advanced analytics with embedded artificial intelligence (AI) and machine learning, to uncover more suspicious activity than ever before. Alerts are scored and prioritized based on severity, then routed to investigators or analysts for a more in-depth review.


Gain a consolidated view of fraud risk.

Identify cross-brand/product fraud by seeing all associated customer information across all lines of business in one consolidated view. A unique visualization interface lets you spot linked entities and crime rings that you would otherwise miss. Social network diagrams and sophisticated data mining capabilities enable you to better understand new fraud threats, so you can prevent substantial losses early. And stay on top of changing fraud trends by continuously improving models and adapting the system.


Increase operational efficiencies.

The solution applies risk- and value-based scoring models to accurately score and prioritize alerts before they go to investigators. Advanced case management tools help streamline investigations and boost investigator efficiency. With the time saved, investigators can work more cases with greater effectiveness, and focus on higher-value networks that generate a better ROI. More accurate scoring also means fewer false positives – and that translates to less customer inconvenience and greater customer satisfaction.



Key Features

Data management

Integrates data from any internal or external source – watch lists, third parties, unstructured text, etc. – regardless of system or format, and integrates seamlessly with existing rules engines.


Advanced analytics with embedded AI

Provides a broad set of advanced analytic and AI techniques, including modern statistical, machine learning, deep learning and text analytics algorithms.


Rule and analytic model management. Includes prepackaged heuristic rules, anomaly detection and predictive models, and lets you create and logically manage business rules, analytic models, alerts and watch lists.


Detection and alert generation

Enables the systematic detection of suspicious activity using a fraud scoring engine that that combines business rules, anomaly detection and advanced analytics to score transactions in real time.


Alert management

Combines alerts from multiple monitoring systems, associates them with common data and gives investigators a more complete perspective on risk associated with individuals or groups.


Social network analysis

Provides a unique visualization interface that lets you go beyond transaction and account views to analyze related activities and relationships at a network dimension.


Search and discovery

Lets you perform free-text, field-based or geospatial searches across all data (internal and external), and refine searches using interactive filters.


Intelligent case management

Systematically facilitates investigative reviews using a configurable workflow, and stores all information pertinent to a case.


Flexible deployment options

Enables you to choose the deployment option that works best for you – complete hosting, deployment at your site or a combination of the two.



For Banking

Detect and prevent organized and first-party fraud with a single, end-to-end solution. Identify and eliminate application and online fraud.

For Government

Proactively prevent fraud, abuse and improper payments across your government agencies.Detect, prevent and more effectively

For Healthcare

Prevent, detect and manage payment integrity issues from every angle. Detect and prevent health care fraud, waste and abuse at every stage

For Insurance

Detect, prevent and manage claims fraud across all lines of business.You don't have to accept claims fraud as a cost of doing business

For Banking

Detect and prevent organized and first-party fraud with a single, end-to-end solution. Identify and eliminate application and online fraud. Address the proliferation of identity theft and synthetic identities. Detection and Investigation for Banking provides a single, end-to-end framework for better fraud detection and greater operational efficiency across multiple channels and products.


Detect more fraud, and reduce your losses.

Our unique, hybrid analytic approach uses multiple techniques – automated business rules, predictive modeling, text mining, database searches, exception reporting, network link analysis, etc. – to spot more suspicious activity with greater accuracy. A powerful fraud analytics engine uses embedded AI and machine learning techniques, combined with traditional detection methods, to process all data (not just a sample) in real time or in batch, to find more fraud and reduce false positives. And by analyzing device data in conjunction with demographic data, you can quickly uncover application and online banking fraud.


Get a consolidated view of fraud risk.

Identify cross-brand/product fraud by viewing customer accounts and transactions for all lines of business in one consolidated view. A unique visualization interface lets you spot linked entities and banking fraud crime rings that you would otherwise miss. Social network diagrams and sophisticated data mining capabilities enable you to better understand new banking fraud threats, so you can prevent substantial losses early. And stay on top of changing fraud trends by continuously improving models and adapting the system.


Boost investigator efficiency, reduce false positives and gain a competitive advantage.

For Government

Proactively prevent fraud, abuse and improper payments across your government agencies.

Detect, prevent and more effectively manage both opportunistic and professional fraud across your organization. Detection and Investigation for Government provides a single, end-to-end framework that uses multiple techniques – automated business rules, predictive modeling, text mining, exception reporting, network link analysis, etc. – to better identify fraudulent activity and stop payments before they are made. Precise targeting dramatically reduces false positives, ensuring that the vast majority of valid transactions continue without delay.


Detect fraud with greater precision, and reduce fraud losses.

Standardize, integrate and authenticate data, and consolidate program integrity activities. A robust fraud analytics engine processes all transactions (not just a sample) using multiple techniques – including automated business rules, predictive modeling, embedded AI and machine learning, text mining, search and discovery, exception reporting and network link analysis. Online, real-time scoring enables you to stop fraudulent payments before they are made. You can search databases of known fraudsters to detect repeat offenders, and record all outcomes, referrals and suspects within the system.


Gain a consolidated view of fraud risk.

Identify linkages among seemingly unrelated individuals and activities with a unique visualization interface that lets you analyze all related activities and relationships at a network dimension. Get a better understanding of new threats and prevent big losses early using social network diagrams and sophisticated data mining capabilities. The solution's search and discovery capabilities let you perform free-text, field-based or geospatial searches across all internal and external data, as well as refine searches using interactive filters and facets designed for investigators. And you can continually improve models and adapt the system to address changing fraud trends.


Increase efficiency and reduce costs.

Risk- and value-based scoring models accurately score and prioritize alerts before they go to investigators. This increases the ROI of investigators by ensuring they are working on the highest-value cases. A configurable workflow and intelligent case management tools enable you to systematically investigate, capture and display all information pertinent to a case, including interview notes and evidence needed for criminal or civil prosecution, restitution and collections. Auditing information related to user activities is captured automatically by the system, and you can configure the level of detail captured to meet your compliance needs.


For Healthcare

Prevent, detect and manage payment integrity issues from every angle. Detect and prevent health care fraud, waste and abuse at every stage of the claims process, and stop improper payments before claims are paid. SES Detection and Investigation for Health Care provides an end-to-end framework for ensuring payment integrity, with components for fraud detection, alert management and case handling.


Detect more fraud, reduce your losses and optimize payment integrity.

Spot more payment integrity breaches than ever before with a robust fraud analytics engine that processes all data (not just a sample) in real time or in batch. Running on the powerful Platform, the solution uses advanced analytics with embedded artificial intelligence (AI) and machine learning algorithms, combined with other techniques – business rules, outlier analysis, text mining, database searches, exception reporting, network link analysis, etc. – to uncover more suspicious activity with greater accuracy.


Gain a consolidated view of fraud risk.

Identify linkages among seemingly unrelated claims with a unique visualization interface that lets you go beyond individual and account views to analyze all related activities and relationships at a network dimension. Social network diagrams and sophisticated data mining capabilities give you a better understanding of new threats, enabling you to prevent big losses early. And you can stay on top of changes in payment and cost containment trends by continually improving models and adapting the system.


For Insurance

Detect, prevent and manage claims fraud across all lines of business

You don't have to accept claims fraud as a cost of doing business. SES Detection and Investigation for Insurance provides an end-to-end solution for detecting, preventing and managing both opportunistic and organized claims fraud across multiple lines of business, with components for fraud detection, alert management and case handling.


Detect more fraudulent activity.

Identify suspicious activity, uncover hidden relationships and detect subtle patterns of behavior at every stage of the claims process. Our insurance fraud analytics engine uses multiple techniques (automated business rules, embedded AI and machine learning methods, text mining, anomaly detection and network link analysis) to automatically score millions of claims records in real time or in batch. Customized anomaly detection methods reveal previously unknown schemes, linked entities and hidden crime rings, which can help stem larger losses. Get a consolidated view of fraud risk.


Identify linkages among seemingly unrelated claims, and identify cross-product fraud. A unique visualization interface lets you see customer claims and policies for all lines of business, and analyze all related activities and relationships at a network dimension. Social network diagrams and sophisticated data mining capabilities give you a better understanding of new fraud threats, enabling you to prevent substantial losses early. And you can stay on top of changing claims fraud trends by continually improving models and adapting the system.


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