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Web Fraud Detection

Best Practices For Selecting A Web Application…

Automated Web Application Scanning WAS solutions help you discover web apps running in your network, determine whether they are vulnerable to attack, understand how to fix them, and protect your business.…

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1+1= 3: The New Math When Countering Fraud

Both security intrusions and fraud events are on the rise worldwide, driven in large part by the professionalization of cyber crime. Today, cyber criminal organizations often function much like their…

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Website Security Threat Report 2015

With one of the largest threat intelligence networks in the world, the Global Intelligence Network GIN , Symantec is a respected source of data and analysis for global cybersecurity threats, trends and…

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Insurance Fraud And Organized Crime

Organized criminals and lone fraudsters are continuously adapting to the ever changing world we live in, using everything at their disposal to commit their illicit activity. Financial Institutions and…

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Quantifying The Value Of Counter Fraud Analytics…

To help address issues, Aberdeen Group has applied a simple but highly effective analytical approach to evaluate the cost of insurance fraud and to quantify the value of investments in counter fraud analytics…

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Ibm Counter-Fraud Management For Insurance

The IBM Counter Fraud Management for Insurance solution is designed to help insurers prevent and intercept attempted fraud while detecting, identifying, and building the case against past fraudulent activity…

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How Off-Cycle Enrollment Can Kickstart 2017

Data breach and tax fraud continue to make the news, so it s important for employers to think about the subject in a more proactive way. Why wait until open enrollment to discuss this essential benefit…

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Advanced strategies to flexibly manage the…

Bot Manager helps organizations improve the web experience for their site users by monitoring, identifying and reducing the wide array of bot traffic accessing their website, to prevent price and content…

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Cognitive Approach To Unsupervised Anomaly…

Progress DataRPM provides a Cognitive Anomaly Detection Anomaly Prediction Framework for multi sensor Time Series Data. It employs Meta Learning that uses machine learning to analyze sensor data from…

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