Network Intelligence

• Linking analysis connects data points within a merchant's data (e.g. email, phone number, IP address, shipping/billing addresses) to form "entities" (i.e. customers)
• Each entity includes aggregated information (e.g. total amount spent, number of transactions, payment methods) that can be used by risk scoring engines in real-time
• Linking analysis allows transactions to be linked and viewed as a single entity, corresponding to a single customer, across multiple websites serviced by the same payment service provider (PSP)
• This provides a 360° view of a customer's activity, allowing merchants to accurately assess risk, reduce false positives & reduce uptick in fraud levels
• Network visualization & whitebox AI enable Fraugster customers to perform deep analytic research that helps them create precise rules & manually adjust risk thresholds.
• In cases of suspected fraud, linking analysis & data enrichment can reveal hidden connections between fraudsters & form a complete profile of their transactional history, saving merchants time on manual screening & analysis
• Machine Learning tools can analyze large amounts of data from multiple sources in real-time, making fraud decisioning scalable & efficient for merchants
• Fraud prevention tools that leverage these technologies have faster integration cycles & require fewer data touchpoints in the customer journey
• Network intelligence is 100% GDPR compliant
• Highly accurate decisions in real-time; our AI engine generates a payment decision within 15 milliseconds.
• Our AI Engine can process over 1000 transactions a second, which benefits large merchants scaling their business, without compromising on real-time decisioning or adding friction to the payment experience.
• As Fraugster is less reliant on collecting purchasers’ raw data, merchants can enhance their customers’ payment experience & improve conversion rates at checkout. Less data points also means we reduce onboarding time to go-live within 1month

Fraugster is the only player in the market that provides an AI risk management solution powered by advanced network intelligence technology and tailored to the specific fraud and risk challenges of e-commerce merchants. Our in-house, custom built network intelligence technology uses graph analytics to achieve a significantly deeper understanding of the interconnectivity between people and transactions. Then all of our analytics, AI models and ML have been researched and developed specifically to target ecommerce payment risk. This powerful combination is what enables us to help our customers achieve highly accurate, real-time, scalable risk-management decisions.

• 360° view of a customer's activity,
• 100% GDPR compliant
• Live linking in real-time, across multiple websites serviced by the same payment service provider (PSP)
• No historical customer data needed
• Whitebox AI with clear information about decisions
• Go-Live within 1 month

Here's a selection of our most exciting new features and products from 2022:

• Alternative Credit Decision (ACD): Supports BNPLs and Enterprise merchants to approve more customers without increasing credit risk. With this Product you can accurately profile a customer that you don’t know by using a similar risk profile that Fraugster has seen and assessed elsewhere, reducing the total cost of credit risk! Learn more about it here: https://www.fraugster.com/products/alternative-credit-decisions

• Custom Actions in rules: Customize up to six rule actions, including their decisioning priority level against other rules, to have more control and flexibility in your risk strategy. Use custom actions to integrate your Fraugster risk management platform with your other internal and external business workflows. Learn more about it here: https://www.youtube.com/watch?v=aGBa-R33Hkw

• Tagging: Active tagging is possible now! When checking transactions with manual review, now your decisions can become tags. This will allow you to feed your expert human intel into the AI, and the AI engine learns, links, and scales your intelligence.

• Rule Simulations: This feature helps you better understand the financial and analytical impact of your rules. You can catch fraud faster, have a cleaner ruleset, understand insights, and test the rules before deploying them!

Ratepay, Nina Pütz “Fraugster's modular approach is the perfect complement to our in-house machine learning platform. The flexible self-service rule engine allows our fraud analysts to quickly design, test and deploy anti-fraud rules directly in the real-time environment, resulting in greater revenue growth for our merchants. With automated merchant onboarding, Fraugster allows us to add new merchants without delays and easily manage our portfolio.”

Frederik Craessaerts, Group Business controller Yonderland "Fraugster has greatly improved our risk management capabilities thanks to transparent reporting and easy rule writing. Fraugster’s team was always there to support us along the way.”

Peter Windischhofer, CEO refurbed “We have opted for Fraugster’s product so that we can focus on offering the best refurbished product assortment to our customers. Fraugster’s biggest differentiator is their AI data enrichment, which provides us with deeper insights into customer behaviour in consumer electronics and online marketplaces, and will allow us to make more accurate approval decisions. We are excited to work together to create a safe shopping environment for our customers and partners.”

Ferran Llompart, Corporate Treasury Director, Iberostar During Covid, we faced an increased need for fraud and chargeback prevention. Fraugster developed, trained, tested, and deployed a new AI model specifically for Iberostar, based on Covid 19 fraud patterns, and rolled it out to handle the unprecedented scenario. The customized and flexible solution, combined with Fraugster's personal collaboration, helped us stay on top of fraud risks and build a great partnership.

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