Ravelin - Detailed Review
Finance Tools
Ravelin - Product Overview
Overview
Ravelin is a company specializing in fraud prevention and payment security, particularly within the online business sector. Here’s a brief overview of their product and key features:
Primary Function
Ravelin’s primary function is to protect online merchants from various types of fraud, including online payment fraud, account takeovers, policy abuse, marketplace fraud, and promotion abuse. The company aims to enhance the security and efficiency of online transactions.
Target Audience
Ravelin’s target audience includes online merchants and e-commerce businesses. Their solutions are particularly beneficial for companies looking to secure their transactions and improve the customer journey. Notable customers include Fiserv, Deliveroo, Just Eat Takeaway, and Frasers Group.
Key Features
Machine Learning and Human Insights
Ravelin uses a combination of machine learning algorithms and human insights to detect and prevent fraudulent activities.
Fraud Detection and Prevention
The platform helps in identifying and mitigating card-not-present fraud, account takeovers, promotion abuse, refund abuse, and marketplace seller fraud.
Payment Authentication
Ravelin offers solutions for payment authentication, including 3D Secure 2.0 and behavioral biometrics.
Data Integration
The platform can ingest and augment data from various sources, including third-party data providers like Ekata and Ethoca.
Chargeback Management
Ravelin provides tools for managing and disputing chargebacks, helping businesses reduce financial losses due to fraudulent transactions.
Native Cloud
The platform is cloud-based, ensuring scalability and ease of integration with existing systems.
Additional Capabilities
Graph Network Visualization
Ravelin uses graph network visualization to help businesses draw deeper insights from their customer data, enhancing fraud detection capabilities.
PSD2 Conversion Optimization
The company helps in optimizing transactions under the Payment Services Directive 2 (PSD2), ensuring compliance and improved payment authorization rates.
With its advanced AI-driven fraud prevention tools, Ravelin is set to further enhance its capabilities as it is in the process of being acquired by Worldpay, a leading payments and banking services company.
Ravelin - User Interface and Experience
User Interface
Ravelin’s interface is centered around ease of use and clarity, especially for its primary function of fraud detection. Here are some key features:Dashboard
Ravelin provides an easy-to-use dashboard that allows merchants to monitor and manage fraud decisions in real-time. This dashboard is intuitive, enabling users to quickly identify and flag fraudulent transactions.Real-time Behavioral Analytics
The interface integrates real-time behavioral analytics, which flag fraudsters within milliseconds. This is presented in a clear and actionable manner, allowing merchants to make swift decisions during the checkout process.Graph Networks
Ravelin uses graph networks to analyze terabytes of historic and real-time data. While the technical details are complex, the interface simplifies this data into insights that are easy for users to interpret.Ease of Use
The system is designed to be user-friendly, even for those who may not have extensive technical expertise:Simple Integration
Ravelin’s tools can be embedded within the checkout flow, making it seamless for merchants to integrate and use without significant technical overhead.Clear Insights
The platform presents insights in a hyperfast graph database, ensuring that users can quickly and easily understand the data and make informed decisions.Overall User Experience
The overall user experience is focused on efficiency, security, and scalability:Fast and Scalable
Ravelin’s use of Google Cloud ensures high availability with autoscaling, allowing the system to handle spikes in traffic efficiently. This means users do not experience latency or downtime, even during peak periods.Security
The platform emphasizes strong security and compliance with standards like ISO/IEC 27001 and PCI DSS. This ensures that sensitive data, such as card details and personal identifiable information, is securely stored and analyzed, providing users with peace of mind.Global Accessibility
With Google Cloud’s global network, Ravelin can deploy its services closer to clients without latency issues, making the experience consistent across different regions. In summary, Ravelin’s user interface is designed to be intuitive and efficient, providing clear and actionable insights to help merchants prevent fraud effectively. The ease of use and strong focus on security and scalability contribute to a positive user experience. Ravelin - Key Features and Functionality
Ravelin: An AI-Driven Fraud Prevention Platform
Ravelin, an AI-driven fraud prevention platform, offers a suite of features and functionalities that are crucial for protecting online merchants from various types of fraud. Here are the main features and how they work:
Real-Time Fraud Detection
Ravelin’s platform uses real-time fraud detection to identify and prevent fraudulent transactions as they occur. This is achieved through continuous monitoring of transactions and user behavior, leveraging AI algorithms to flag suspicious activities immediately.
Machine Learning Algorithms
At the heart of Ravelin’s fraud prevention is its use of machine learning algorithms. These algorithms analyze vast amounts of data, including transaction history, user behavior, and other relevant factors, to predict and prevent fraud. The platform generates dozens of machine learning features, which can be integrated into the merchant’s internal risk models to enhance their fraud detection capabilities.
Behavioral Analytics
Behavioral analytics play a key role in Ravelin’s fraud prevention strategy. The platform tracks user behavior patterns to identify anomalies that may indicate fraudulent activity. This includes analyzing how users interact with the website or application, their purchase history, and other behavioral metrics.
Device Fingerprinting
Device fingerprinting is a technique used by Ravelin to collect information about the devices used by customers. This includes details such as browser type, operating system, and other device-specific data. This information helps in identifying and blocking fraudulent devices.
Transaction Monitoring
Ravelin continuously monitors transactions to detect any signs of fraud. This involves analyzing transaction patterns, amounts, and other relevant details in real-time to ensure that each transaction is legitimate.
Risk Scoring
The platform assigns risk scores to transactions based on the analysis of various factors, including user behavior, transaction history, and device information. Higher risk scores indicate a higher likelihood of fraud, allowing merchants to take appropriate action.
Chargeback Management
Ravelin helps merchants manage chargebacks more effectively by identifying and preventing transactions that are likely to result in chargebacks. This reduces the financial and administrative burden associated with chargeback processes.
Customizable Rules Engine
The platform offers a customizable rules engine that allows merchants to set specific rules based on their unique business needs. This flexibility ensures that the fraud prevention measures are aligned with the merchant’s risk tolerance and business policies.
API Integration
Ravelin provides API integration, enabling merchants to seamlessly integrate the fraud prevention features into their existing systems. This includes the ability to request machine learning features as part of the API response, which can be used to enhance the merchant’s internal risk models.
User Authentication and Multi-Factor Authentication
Ravelin enhances user authentication with multi-factor authentication (MFA) to ensure that only legitimate users can access accounts and complete transactions. This adds an extra layer of security to prevent account takeovers and other forms of fraud.
Geolocation Tracking
Geolocation tracking helps in identifying transactions that originate from suspicious locations or show unusual travel patterns, which can be indicative of fraudulent activity.
Anomaly Detection
The platform uses anomaly detection to identify transactions or user behaviors that deviate significantly from normal patterns. This helps in catching fraudulent activities that might not fit into predefined rules.
Fraud Prevention Dashboard
Ravelin provides a comprehensive fraud prevention dashboard that offers real-time insights and analytics. This dashboard helps merchants monitor and manage fraud risks more effectively by providing a clear overview of suspicious activities and risk scores.
Reporting and Analytics
The platform offers detailed reporting and analytics tools that help merchants analyze fraud trends, understand the effectiveness of their fraud prevention strategies, and make data-driven decisions.
Collaboration Tools and Alert Notifications
Ravelin includes collaboration tools that enable teams to work together more effectively in managing fraud. The platform also sends alert notifications for suspicious activities, ensuring that merchants can respond promptly to potential fraud threats.
Data Encryption and Case Management
Data encryption ensures that all sensitive information is protected, while the case management feature helps in organizing and resolving fraud cases efficiently.
Connect Network and Machine Learning Features
Ravelin’s Connect network uses link analysis to create accurate predictions and generates numerous machine learning features. These features can be used to enhance the merchant’s internal risk models and are calculated based on the analysis of data within a specified number of hops from the target node, stopping when a chargeback or reviewed fraudster is reached.
Conclusion
In summary, Ravelin’s AI-driven fraud prevention platform integrates advanced technologies like machine learning, behavioral analytics, and device fingerprinting to provide comprehensive protection against various types of fraud. These features work together to ensure secure transactions, foster customer trust, and support business growth.
Ravelin - Performance and Accuracy
Performance
Ravelin’s platform is built on advanced technologies such as machine learning, graph networks, and behavioral analysis. This combination allows it to process large volumes of data quickly and accurately. Here are some key performance highlights:Key Highlights
- Ravelin can analyze terabytes of historic and real-time data per client and present insights within a 300 millisecond window during the checkout flow, ensuring fast and efficient transaction processing.
- The platform’s ability to autoscale on Google Cloud ensures high availability and cost-effective handling of traffic spikes, which is crucial for maintaining performance during peak periods.
- Ravelin has successfully stopped over £100 million of fraudulent transactions and analyzed over 12 petabytes of data in just three years, showcasing its scalability and effectiveness.
Accuracy
The accuracy of Ravelin’s fraud detection is a significant strength:Key Accuracy Features
- By using real-time behavioral analytics, Ravelin can flag fraudsters within milliseconds, providing merchants with accurate insights to make informed decisions about transactions.
- The integration with other technologies, such as Ekata’s transaction risk API and Ethoca Alerts, enhances the accuracy of identity verification and fraud detection. This joint solution helps merchants validate consumer identities without adding friction to the checkout process.
- Ravelin’s platform gives merchants a clear view of each transaction and the customer behind it, enabling them to identify and stop fraudsters while ensuring a good experience for genuine customers.
Limitations and Areas for Improvement
While Ravelin’s performance and accuracy are strong, there are some areas to consider:Challenges
- Diversity of ATO Attack Patterns: One limitation is the sheer diversity of Account Takeover (ATO) attack patterns. Ravelin acknowledges that even the tightest login protections can be exploited, highlighting the need for continuous improvement in ATO protection at both login and checkout points.
- Continuous Adaptation: Fraudsters constantly evolve their methods, so Ravelin must stay adaptable and open to new technologies and strategies to remain effective. The company’s commitment to open source and open standards helps in this regard, allowing it to leverage the latest advancements.
Integration and Scalability
Ravelin’s recent acquisition by Worldpay is expected to enhance its capabilities further. Worldpay’s scale and global reach will help accelerate Ravelin’s momentum and advance its mission to eradicate fraud from the internet. This integration will also allow Worldpay to offer its customers improved authorization rates and enhanced fraud prevention tools. In summary, Ravelin’s performance and accuracy are highly commendable, driven by its advanced AI and machine learning capabilities. While there are areas for continuous improvement, particularly in addressing the diverse nature of ATO attacks, Ravelin’s commitment to adaptability and openness positions it well to stay ahead of emerging fraud threats. Ravelin - Pricing and Plans
Pricing Model
Ravelin’s pricing is not publicly detailed in a simple tiered structure, but here are some key aspects:
- Monthly Subscription: Ravelin’s pricing starts at $1,300 per month.
Features
- Machine Learning: Ravelin uses machine learning algorithms to stop credit card fraud and other types of online fraud.
- Automated Workflow: The platform includes automated workflows to review and flag fraudulent transactions.
- Insights Dashboard: Merchants have access to an insights dashboard to review fraud decisions and other relevant data.
- Device Fingerprinting: This feature helps in identifying and tracking devices associated with fraudulent activities.
- Chargeback Guarantee: Ravelin offers a chargeback guarantee, providing protection against fraudulent transactions.
Free Options
- Free Trial: Ravelin does offer a free trial, allowing potential customers to test the service before committing to a paid plan.
Customization
- Custom Rules: Merchants can set their own rules-based fraud prevention systems, which are executed in combination with machine learning algorithms.
While the exact tiers and detailed feature breakdowns are not explicitly stated, it is clear that Ravelin provides a comprehensive fraud prevention solution with advanced features, and the pricing starts at a monthly fee of $1,300. For more specific details, it may be necessary to contact Ravelin directly or use their free trial to explore the full range of features and pricing options.
Ravelin - Integration and Compatibility
Ravelin Overview
Ravelin, an AI-native fraud prevention platform, is designed to integrate seamlessly with various tools and platforms to provide comprehensive fraud protection for merchants. Here’s a breakdown of how Ravelin integrates and its compatibility across different systems:Integration Process
When integrating Ravelin, the process is well-structured and supported by dedicated professionals. Here’s what you can expect:Kick-off Meeting
A kick-off meeting is organized with a dedicated project manager and integration engineer to discuss technical details, target outcomes, and any time constraints.Implementation Phase
During the implementation phase, Ravelin helps in building the integration on your side and testing it with data sent to your sandbox account.Go-Live Process
Once the integration is satisfactory, Ravelin proceeds with the go-live process and continues to monitor the data, making adjustments as necessary to maximize performance.Compatibility and Platforms
Ravelin’s solutions are compatible with a wide range of platforms and systems, particularly those involved in e-commerce and payment processing:Payment Processing
Ravelin integrates with payment systems to prevent card-not-present payment fraud, optimize transaction routing, and maximize conversion rates.3D Secure
Ravelin offers 3DS Server and 3DS SDKs for authenticating customers, ensuring secure transactions.E-commerce Platforms
Ravelin can be integrated to protect against various types of fraud such as account takeover, refund abuse, voucher abuse, and marketplace fraud.Cloud Integration
Ravelin’s cloud-based AI platform is a key aspect of its integration capabilities. This allows for scalable and secure integration with cloud services like Google Cloud, which Ravelin has successfully utilized to enhance security at scale.Future Integration with Worldpay
With the recent announcement of Worldpay’s acquisition of Ravelin, the integration capabilities are expected to expand further. Worldpay’s global reach and processing capabilities will enable Ravelin’s solutions to be delivered to a broader customer base, enhancing the overall value proposition for merchants by providing advanced AI-powered fraud prevention products.Conclusion
In summary, Ravelin is engineered to integrate smoothly with various financial and e-commerce platforms, leveraging its cloud-based AI technology to provide comprehensive fraud protection and optimization solutions. The ongoing support and monitoring ensure that the integration remains effective and adaptive to the needs of the merchants. Ravelin - Customer Support and Resources
Customer Support
While the specific details of Ravelin’s customer support structure are not explicitly outlined in the available sources, it is clear that the company places a strong emphasis on providing dedicated support. Ravelin’s commitment to helping online businesses block advanced fraud threats includes offering sophisticated technology along with the necessary support to ensure clients can use their tools effectively.
Integration and Technical Support
For merchants looking to integrate Ravelin’s solutions, the company provides comprehensive developer documentation. This includes detailed guides on how to integrate various features such as payment fraud prevention, account takeover protection, refund abuse prevention, and more. The documentation covers APIs, 3D Secure authentication, and other technical aspects, ensuring that merchants can seamlessly integrate Ravelin’s solutions into their systems.
Resources
Ravelin offers a wealth of resources to help fraud and payments professionals make informed decisions and grow their businesses securely.
- Documentation and Guides: Ravelin’s developer documentation is extensive, covering all aspects of integration and use of their fraud prevention tools.
- Articles, Podcasts, and Reports: The company provides a range of educational materials, including articles, podcasts, guides, and reports. These resources are aimed at helping businesses grow securely online and are available on their website.
- Thought Leadership Webinars: Ravelin hosts webinars that offer insights and best practices in fraud prevention and payments security, helping businesses stay updated with the latest trends and technologies.
Community and Expertise
Given Ravelin’s status as a market leader in fraud prevention, their resources often reflect the expertise and experience of their team. This includes insights from their CTO and other industry experts, which can be valuable for businesses looking to enhance their fraud prevention strategies.
In summary, Ravelin supports its customers through detailed technical documentation, a variety of educational resources, and a commitment to providing dedicated support to help businesses protect themselves against fraud.
Ravelin - Pros and Cons
Advantages of Ravelin
Ravelin, a global fraud prevention company, offers several significant advantages in the finance tools AI-driven product category:Real-Time Fraud Detection
Ravelin’s platform is renowned for its real-time behavioural analysis, machine learning, and graph networks, which enable it to detect and prevent fraudulent transactions within milliseconds, even during the checkout process.Advanced Analytics and Machine Learning
The platform utilizes machine learning algorithms and behavioural analytics to analyze terabytes of historic and real-time data, providing vendors with insights to identify and stop fraudsters effectively.Security and Compliance
Ravelin ensures high security through encryption management with Google Cloud’s Cloud Key Management Service, complying with standards such as ISO/IEC 27001 and PCI DSS. This ensures the safe storage and analysis of sensitive data like card details and personal identifiable information.Scalability and Global Reach
With Google Cloud, Ravelin can handle spikes in traffic efficiently through autoscaling, and its global network allows deployment closer to clients without latency issues. This scalability is crucial for handling large volumes of transactions securely.Comprehensive Feature Set
Ravelin Enterprise offers a wide range of features including device fingerprinting, transaction monitoring, risk scoring, chargeback management, customizable rules engine, API integration, user authentication, geolocation tracking, anomaly detection, and multi-factor authentication. These features help in providing a comprehensive fraud prevention solution.Enhanced Customer Experience
The platform helps merchants balance fraud prevention with a smooth customer experience. It provides a clear view of each transaction and the customer behind it, ensuring that legitimate customers are not unfairly impacted by fraud prevention measures.Disadvantages of Ravelin
While Ravelin offers numerous benefits, there are some potential drawbacks to consider:Cost of Implementation
Although Ravelin provides cost-effective pricing options, the initial implementation of such advanced AI and machine learning technologies can still be costly. This is a common challenge with many AI-driven solutions.Dependence on Data Quality
The effectiveness of Ravelin’s AI algorithms depends on the quality of the data used for training. If the data is biased or incomplete, the system may produce biased or inaccurate results, which can lead to false positives or false negatives in fraud detection.Lack of Human Judgment
While AI is excellent for repetitive and data-intensive tasks, it lacks the emotional and creative judgment that humans can bring to decision-making. This might be a limitation in certain nuanced or sensitive cases where human intuition is valuable.Integration Challenges
Migrating to a new platform like Ravelin may require significant integration efforts, especially for businesses with existing infrastructure. However, Ravelin’s compatibility with open source technologies and APIs can ease this process to some extent.Ethical and Privacy Concerns
As with any AI-driven solution, there are ethical and privacy concerns related to data handling and consumer privacy. Ensuring that Ravelin complies with all relevant regulations and maintains transparent data practices is crucial. In summary, Ravelin’s advantages in real-time fraud detection, advanced analytics, security, and scalability make it a powerful tool in the finance sector. However, considerations around implementation costs, data quality, human judgment, integration challenges, and ethical concerns should also be taken into account. Ravelin - Comparison with Competitors
When Comparing Ravelin to Competitors
When comparing Ravelin to its competitors in the AI-driven fraud prevention category, several key features and distinctions become apparent.Unique Features of Ravelin
Ravelin stands out for its comprehensive approach to fraud detection, leveraging a combination of machine learning, graph networks, and human insights. Here are some of its unique features:Machine Learning Models
Ravelin uses global, industry-specific, and bespoke machine learning models to identify fraudulent patterns based on historical data. These models can process transactions in less than 500 milliseconds, ensuring real-time protection.Graph Networks
Ravelin’s graph networks help identify connections between customers, allowing the system to block entire networks of fraudulent accounts. This approach is effective both within a merchant’s own data and across Ravelin’s network of merchants.Behavioural Analytics
The platform tracks every interaction users have with the client’s platform, scoring on hundreds of features to detect fraudulent behavior before checkout.Integration and Speed
Ravelin integrates seamlessly with a business’s website or mobile app, providing real-time data feeds and hyperfast graph database insights within a 300 millisecond window.Competitors and Alternatives
Several competitors offer similar but distinct solutions:SEON Technologies
SEON Technologies specializes in fraud prevention and risk management across various sectors. It offers a suite of tools focused on digital footprint analysis and social media profiling, which can complement Ravelin’s behavioral analytics but may not offer the same level of real-time machine learning capabilities.Accertify
Accertify focuses on digital identity and financial fraud risk management. While it provides comprehensive services, its approach is more centered on digital identity verification rather than the broad behavioral and graph network analysis offered by Ravelin.ClearSale
ClearSale provides fraud prevention and protection solutions primarily for e-commerce businesses. It offers fraud scoring and other solutions but may lack the advanced graph network analysis and real-time behavioral analytics that Ravelin provides.Sift
Sift, formerly known as Sift Science, offers real-time machine learning fraud prevention solutions similar to Ravelin. It automatically learns and detects fraudulent behavioral patterns and alerts businesses accordingly. However, Sift may not have the same level of integration with graph networks as Ravelin.Riskified
Riskified provides a payment fraud management platform that helps businesses reduce fraud losses and improve customer experience. While it offers comprehensive solutions, it may not match Ravelin’s speed and the combination of machine learning and graph networks.Fraud.net
Fraud.net offers a fraud detection and prevention platform with visual analytics technologies. It helps online merchants and financial services companies reduce payment fraud but may not have the same real-time capabilities and advanced machine learning models as Ravelin.Conclusion
Ravelin’s unique blend of machine learning, graph networks, and behavioral analytics sets it apart in the fraud prevention landscape. While competitors like SEON Technologies, Accertify, ClearSale, Sift, Riskified, and Fraud.net offer valuable solutions, they each have different strengths and may not match Ravelin’s comprehensive and real-time approach to fraud detection. When choosing a fraud prevention tool, businesses should consider the specific needs of their industry and the level of real-time protection required. Ravelin - Frequently Asked Questions
Frequently Asked Questions about Ravelin
When was Ravelin founded?
Ravelin was founded in 2014.
Where is Ravelin’s headquarters?
Ravelin’s headquarters is located at 174-180 Old Street, Classic House, London, England, EC1V 9BP, United Kingdom.
What products and services does Ravelin offer?
Ravelin specializes in fraud prevention and payment security for online businesses. It offers a suite of solutions that utilize machine learning and human insights to protect against online payment fraud, account takeovers, policy abuse, marketplace fraud, and to optimize three-dimensional secure transactions.
Who are Ravelin’s customers?
Ravelin’s customers include notable companies such as Fiserv, Deliveroo, Just Eat Takeaway, Curb Mobility, and Frasers Group.
How much funding has Ravelin raised?
Ravelin has raised a total of $36.11 million in funding from various investors, including Plug and Play Milan, Passion Capital, Amadeus Capital Partners, BlackFin Capital Partners, and Molten Ventures among others.
Who are Ravelin’s competitors?
Ravelin’s competitors include companies such as SEON Technologies, Accertify, Worldpay, DataVisor, Fraud.net, and Sift.
What is the latest significant development regarding Ravelin?
As of February 4, 2025, Worldpay has entered into a definitive agreement to acquire Ravelin. This acquisition aims to enhance Worldpay’s portfolio of solutions and provide merchants with next-generation AI-powered fraud prevention products.
What kind of technology does Ravelin use?
Ravelin uses AI-native technology, specifically machine learning, to detect and prevent fraudulent activities. Their cloud-based AI platform helps in identifying and mitigating various types of fraud and optimizing payment security.
What are the benefits of using Ravelin’s solutions?
Using Ravelin’s solutions helps online merchants secure their transactions, prevent various types of fraud, and optimize their payment processes. This enhances the overall customer journey and protects businesses from financial losses due to fraud.
How does Ravelin support payment optimization?
Ravelin’s solutions include optimization of three-dimensional secure transactions, which helps in improving authorization rates and reducing false positives, thereby enhancing the overall payment process for online merchants.
What is the pricing structure for Ravelin’s services?
Ravelin Enterprise offers pricing plans, with a basic plan starting at $1300 per feature. The exact pricing details can vary based on the specific needs and features required by the client.
Ravelin - Conclusion and Recommendation
Final Assessment of Ravelin in the Finance Tools AI-Driven Product Category
Ravelin is a highly specialized fraud prevention platform that leverages advanced technologies such as machine learning, graph networks, and behavioral analytics to protect online merchants from various types of fraud. Here’s a comprehensive assessment of who would benefit most from using Ravelin and an overall recommendation.Key Benefits and Features
Ravelin stands out with its real-time fraud detection capabilities, which are crucial for online businesses. It uses machine learning algorithms to learn patterns of fraudulent behavior from historical data, ensuring that merchants are protected in less than 500 milliseconds.- Real-Time Fraud Detection: Ravelin’s ability to detect fraud in real-time is a significant advantage, allowing merchants to block fraudulent transactions before they occur.
- Machine Learning and Graph Networks: The combination of machine learning models and graph networks helps identify and block entire networks of fraudulent accounts, reducing the spread of fraud.
- Behavioral Analytics: Ravelin tracks every interaction users have with the merchant’s platform, scoring on hundreds of features to identify suspicious behavior before checkout.
- Customizable Rules Engine: This feature allows merchants to implement business rules alongside machine learning models, ensuring the system aligns with their specific needs.
Who Would Benefit Most
Ravelin is particularly beneficial for online merchants who are vulnerable to payment fraud, account takeovers, and policy abuse. Here are some specific types of businesses that would gain the most from using Ravelin:- E-commerce Platforms: Companies like Deliveroo, Just Eat Takeaway, and Booking.com, which handle a high volume of online transactions, can significantly reduce their fraud losses with Ravelin.
- Financial Services: Financial institutions and payment processors can also benefit from Ravelin’s advanced fraud detection and prevention capabilities.
- Marketplaces: Any online marketplace that deals with multiple transactions and user accounts can use Ravelin to secure their platform and enhance customer trust.
Overall Recommendation
Given its advanced features and proven track record, Ravelin is highly recommended for any online business looking to strengthen its fraud prevention measures. Here are some key points to consider:- Effectiveness: Ravelin’s use of machine learning, graph networks, and behavioral analytics makes it highly effective in detecting and preventing fraud.
- Real-Time Protection: The real-time nature of its fraud detection ensures that merchants can act swiftly to prevent fraudulent transactions.
- Customization: The customizable rules engine and integration capabilities make it adaptable to various business needs.
- Customer Base: Ravelin already serves well-known clients like Deliveroo and Just Eat Takeaway, indicating its reliability and effectiveness in real-world scenarios.