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Fraud Analysis

Identify vulnerabilities and fight any form of cyber crime with fraud analysis that works.

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Prevent and mitigate fraud losses

Fraud is a billion-euro business and it co-evolves with technology. As information technology in particular becomes more sophisticated with a large number of consumers using more channels and demanding more online services, fraudsters seek to exploit your weakest link to advance their fraud schemes be it gaining your bank account and credit card details or your personal information.

Posing potential and serious damage to your organisation and your clients and causing staggering reputational risk, this can be particularly harmful to businesses with an online presence like large banks, retailers, government departments or insurance companies.

Despite the increasing focus on implementing fraud operation models, fraud is an adaptive crime which means that preventing it is not a simple task, while it requires special methods of data analysis to detect and prevent it. And more often than not, it is often identified only once it has taken place.

However, aligning fraud prevention and IT security can keep you out of harm’s way.

Traditional methods of data analysis that entailed complex and prolonged investigations have long been used to detect fraud, but, this is nowadays changing.

Recent trends centre on deploying fraud management tools that increase sales, maintain a great customer experience, help you access new markets, while ensuring customer acquisition and retention. It’s time to discover intelligence-led solutions that not only offer effective enterprise-wide management of fraud threats, but can constantly improve and adapt to new risks, helping you increase your operational efficiency.

Why fraud detection is important for you

As business data is managed and stored by IT systems, these internal control systems tend to have weaknesses.

From reducing exposure to fraudulent activities to minimising operational costs and time associated with this sort of activity, fraud detection is crucial for improving the results of your organisation and for gaining the trust and confidence of your clients and partners. More specifically, fraud analysis can help you:

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Fraud prevention made easy

Stop fraudulent activity in its tracks with the power of artificial intelligence and machine learning. We bring on the table our expertise and industry-leading detection tools to offer you the optimal fraud recommendations that will make it tough on fraudsters but safe for you.

With the aim to design, develop and implement a fraud solution that will cover prevention, detection, as well as management, PTL deploys IBM Security Gradium that forms part of IBM’s security potrfolio and can provide a scalable platorm that monitors constantly both structured and unstructured data traffic. Whether you use Oracle, IBM, DB2, IBM Informix, Mixrosoft SQL Server or mySQL, our solution can generate real-time security alerts that also include warnings when it comes to enterprise-wide security information and event management (SIEM) systems.

An intelligence-led solution that not only offers effective enterprise-wide management of threats, but can constantly improve and adapt to new risks helping you increase your operational efficiency, Gradium enables various data protection approaches that can perform the following functions:

  • Assess vulnerabilities
    gain complete visibility into complex database infrastructures so that misconfigurations can be easily detected, while any risks are mitigated.
  • Prevent threats
    protect your business from cyberattacks such as distributed denial-of-service (DDoS) or SQL injection and implement database-specific security measures.
  • Access management
    centred on dynamic and policy-based access management that is capable of identifying and adjusting excessive user privileges, managing shared and service accounts and detecting and blocking any suspicious user activities, critical data is always safe.
  • Monitoring and analytics
    track database performance characteristics and integrate advance real-time analytics, anomaly detection and security information, as well as SIEM integration.