Decisimo Integrations

SEON offers a comprehensive view of every interaction, transaction, order, account, and opportunity. Prevent fraud before it occurs with unmatched speed, scale, and depth, utilizing a unique blend of real-time open data from digital and social media, phone, email, IP, and device lookups. This approach ensures high accuracy while providing a clear understanding of what constitutes a real person in today's digital landscape. With intelligent risk scoring powered by AI and machine learning, SEON adapts to the specific risk evaluation methods of different businesses, giving you complete visibility and control over AI-driven decisions. By trying SEON, you engage in a low-risk, high-reward strategy that enhances your fraud prevention capabilities, including robust Anti-Money Laundering (AML) measures. Make it exceptionally challenging for fraudsters to succeed. Identify fraud patterns while simultaneously uncovering potential revenue opportunities, ensuring your business remains secure and profitable.

minFraud is a specialized service that supports businesses in fighting against online fraud by providing risk assessment scores and relevant data regarding digital transactions. It’s worth exploring whether the minFraud service meets your organization's requirements. The riskScore is generated in under half a second, employing a mix of machine learning techniques and human evaluation of fraud trends identified throughout the network. This score is derived from a comprehensive dataset comprising over 3 billion online transactions that minFraud analyzes annually for a variety of online businesses. In some scenarios, such as evaluating online behaviors like account logins, incentivized traffic, or application downloads, an IP address may be the only data point available. In these cases, the IP Risk Score allows you to evaluate the risks associated with the IP, which helps in reducing unwanted activities. Moreover, we strongly advise incorporating our device tracking functionality to improve the precision of IP risk assessments, adding another layer of protection against fraudulent actions. By leveraging these tools, businesses are empowered to enhance their defenses against various potential threats in the digital landscape, ultimately leading to a more secure online environment.

MaxMind's GeoIP2 suite provides tools for pinpointing user locations and attributes, facilitating a broad range of applications, from content personalization and fraud detection to targeted advertising and traffic analysis. Their GeoIP2 Precision Services offer unparalleled data accuracy while freeing you from the hassle of data upkeep and updates on your own servers. Available through an API or via manual uploads, these services ensure you always have access to the most current information. Additionally, the GeoIP2 Databases are tailored for high-demand environments that require extensive IP intelligence data. By hosting these databases internally, users can reduce delays caused by network latency and avoid fees linked to individual queries. This level of flexibility not only allows for the optimization of applications but also significantly enriches the user experience by providing real-time data insights. Moreover, with MaxMind's offerings, businesses can easily adapt their strategies to meet evolving market demands and enhance their overall operational efficiency.

Detecting and preventing the creation of fake user accounts is crucial in order to protect loyalty programs from those attempting to take advantage of them. Organizations can significantly improve their risk evaluation processes by cross-referencing customer data with trustworthy external sources. To combat payment fraud effectively, it is essential to make accurate risk judgments at every phase of the transaction, whether it be prior to, during, or following authorization. Simplifying the authorization process is key to reducing friction for customers as they make purchases. The Ekata Identity Engine employs sophisticated data science and machine learning methods to merge two distinct datasets: the Ekata Identity Graph and the Ekata Identity Network. These datasets emphasize critical identity features, converting them into actionable insights that enable businesses to conduct thorough risk assessments of their customers. By validating a larger volume of legitimate interactions, companies can broaden and sustain their customer base. Furthermore, identifying more fraudulent activities allows organizations to protect their financial assets more effectively. Swift risk evaluations facilitate the approval of additional legitimate transactions, thus ensuring the prevention of fraud while simultaneously embracing more reliable customers. This strategy not only enhances security protocols but also fosters improved customer satisfaction and loyalty over time, which can lead to long-lasting business success. The combination of advanced technology and thoughtful risk management creates a more secure and efficient transaction environment for everyone involved.