Alternatives to Trusting Social

All-in-one platform for identity verification, fraud detection, and compliance. iDenfy uses a three-layer process to verify identity. This protects startups, financial services, gambling, streaming, ridesharing and other digital services against identity fraud. The process protects companies from the most dangerous forms of identity fraud. iDenfy offers a variety of fraud prevention services, including business verification, proxy detection and fraud scoring, AML screening, monitoring and AML screening, NFC verification and other fraud prevention services. iDenfy was founded before AML, GDPR, and fraud regulations were implemented. It pioneered the identity verification process. The company covers the entire ID verification process for users, combining AI biometric recognition with manual human checks to verify they are real users. Use our ID verification software to save up to 40% on identity verification services. Save up to 40% on identity verification costs by paying only for successful ID verification.

Fraud.com's aiReflex is a digital risk and trust solution designed to simplify your fraud defences, making life easier for you and safer and fairer for your customers. aiReflex determines which transactions are legitimate in real-time using a multi-layer defence coupled with explainable AI to fight fraud and improve customer trust. Everything you need to eliminate transactional and application fraud, including: - Transactional Orchestration - Adaptive Rule Engine - AI Engine (Supervised and Unsupervised Machine Learning) - Simulation Engine - Dynamic and static lists - Journey-Time Orchestration - OmniChannel Case Management - Centralised Fraud Reporting Contact us at fraud.com on how we can help you improve your fraud defence while reducing costs and improving customer experiences.

ABLE Platform is a multimodule web software that covers the entire loan origination and loan management processes. The following modules are included: Landing page & Borrower portal - to attract and serve borrowers. Self-service portal - to manage the whole enterprise activity. Back-office - the core of the platform to manage incoming loan applications, service disbursed loans, configure the loan product catalog, built-in dashboards and more. ABLE Platform serves any type of loan: - Payday Loan - Personal Loan - Point of Sale Loan (POS) - Buy Now, Pay Later (BNPL) - Mortgage Loan - Home Equity Loan - Auto Loan (Car finance) - Student Loan, etc The platform can be used as SaaS or On-Premise.

FraudLabs Pro assists online merchants in safeguarding their e-commerce sites against deceitful fraudsters. It meticulously evaluates all sales transactions made through credit cards, PayPal, and other payment methods for potential online fraud, commonly referred to as payment fraud or Card Not Present (CNP) fraud. This proactive approach enables merchants to boost their profits while minimizing chargebacks and financial losses due to fraud. Furthermore, it enhances operational efficiency by offering a user-friendly merchant interface that simplifies the investigation of fraud cases that might otherwise be intricate and time-consuming without a dedicated fraud detection system. With over 24 readily available plugins, extensions, and add-ons compatible with leading e-commerce platforms, the setup process is straightforward: simply download and install the plugin. Additionally, there are more than 20 plugins specifically designed to support various popular e-commerce systems. After entering your License Key and activating the fraud detection feature, your online business will benefit from continuous protection against fraudulent activities, ensuring peace of mind for merchants. This comprehensive approach not only secures transactions but also fosters greater customer trust in the online shopping experience.

How can you verify that real people are online? Onfido (an Entrust company) helps companies identify real identities using the help of AI and identity experts. With just an ID and a picture, your customers can prove their identity wherever they are. You'll be able to secure your business and have all the information you need. Your user's digital account can be linked to their real identity using only their ID and their face. You can then re-verify your user's digital account or authenticate them with a selfie. Onfido's identity authentication has helped businesses like yours to onboard more users and reduce fraud while freeing up resources for their internal teams. Identity verification and authentication can help you drive business results. Our AI-based technology determines if a user's government-issued ID has been authenticated or fake, and then compares it with their facial biometrics. This is how we provide companies with the security and assurance they need to securely and remotely onboard customers.

GiniMachine, an AI-based solution to automated decision making, is called GiniMachine. It uses advanced machine learning algorithms and historical data from companies to create high-performing scoring models. It can be used to score credit, collect, or apply, expand marketing (churn prediction), as well as sales (cross-sell, upsell) opportunities. The system uses a customized implementation of the decision tree ensemble technique, augmented with a set Heuristics for preliminary data processing. GiniMachine provides models for building and supplying. They are fully compliant to the BASEL requirements. GiniMachine works with all types of data, raw and prepared, including: Socio-demographic data Credit bureaus info Transactional data Social network data Other data.

RiskSeal, an AI-powered SaaS Platform, helps online lenders identify valuable customers, automate lending decisions and prevent defaults. Our Digital Credit Scoring System allows lenders to identify potential defaulters and fraudsters, as well as find valuable customers by using digital footprint analysis. We create a detailed digital user profile by analyzing the user's email, phone number, and IP address. This data is collected from over 400 data points. What online lending companies get with RiskSeal Digital footprints. Signals from 100+ social networks that can be used to gain unmatched insights about your clients. - Data enrichment. Digital signals are transformed into 300+ tailored datapoints for automated decision-making. - Trust engine in real-time. Onboarding is streamlined with thorough pre-KYC checks. - Risk score. Advanced name verification with an easy-to-use score of risk for multiple categories.

Gridavate is an innovative platform driven by automation, specifically crafted to improve fraud detection, enhance quality control, and ensure data verification within the lending sector. It presents a range of modular tools that easily incorporate into pre-existing workflows, empowering lenders to identify risks, optimize compliance efforts, and make quicker, more assured decisions. The Fraud module from Gridavate employs adaptive automation techniques to pinpoint potential threats, facilitating safer and more efficient decision-making protocols. Meanwhile, Gridavate QC revolutionizes both pre-close and post-close quality control processes by utilizing cutting-edge tools that significantly boost both efficiency and data precision. The Gridavate Watchlist feature enhances security by enabling systematic screening and surveillance against industry-standard or custom-designed watchlists, complete with automated notifications, customizable thresholds, and API integration to keep businesses alert and safeguarded. Furthermore, Gridavate Data provides the option to choose only the essential data verifications needed at any point in the lending process, thus eliminating superfluous expenses and minimizing waste, ultimately streamlining operations for lenders. By adopting Gridavate, companies can ensure they stay ahead in a rapidly evolving lending landscape.

VALID Systems offers a comprehensive, AI-powered platform for risk management and fraud prevention specifically designed for financial institutions, featuring three essential modules that tackle a wide array of contemporary threats. The Transactions module utilizes advanced machine learning and rule-based systems to identify various forms of fraud, including check fraud and digital-channel threats, in real time by harnessing data pooled from a consortium, which significantly enhances both accuracy and decision-making speed. The Liquidity & Lending module streamlines the processes of credit decisioning and managing overdraft risks, employing behavioral analytics and adaptive underwriting models to fine-tune small-dollar loans and credit lines, all while ensuring a positive customer experience and minimizing potential losses. Lastly, the Data Intelligence module plays a crucial role in consistently tracking model performance and identifying data drift, offering insights into AI bias and ensuring compliance with regulations through user-friendly dashboards. This holistic approach empowers financial institutions to stay ahead of emerging risks and maintain operational integrity.

FraudScore is an anti-fraud solution that was developed by a team made up of data scientists, digital marketers, and experts in ad fraud. FraudScore has been trusted by industry leaders since 2016. It works with both desktop and mobile traffic, providing protection against all forms of ad fraud. FraudScore uses a "fraud score" system to determine whether a decision is made. Every install, conversion, traffic source, offer, and other information is assigned a fraud score. This gives an evaluation of the likelihood and severity of fraud and a detailed explanation of fraud patterns. This unique approach allows clients to build strong fraud cases, explain their position for each incident, and also allows for negotiation. FraudScore is a full-stack platform that detects ad fraud at every stage of the ad funnel, from prebid requests, impressions, clicks analysis to installs and conversions scoring.

Lengthy document examinations can impede the efficiency of account initiation and underwriting procedures, but relying solely on automation is not a viable solution. We assert that implementing automation without incorporating fraud detection measures can lead to dangerous oversights, which is why Inscribe offers a comprehensive Risk Intelligence solution that not only identifies fraudulent activities but also streamlines processes and evaluates creditworthiness, enabling quicker customer approvals. Depending on mere assumptions to spot altered documents can leave your organization vulnerable to fraud and financial losses. You may find yourself inundated with document assessments, hindering your ability to scale your business while minimizing risk. Our mission has always centered on this challenge, and over the years, we have honed our machine learning algorithms, ensuring they continuously adapt and improve. Thanks to our pioneering efforts, you can trust that our models will consistently deliver the highest level of reliability and effectiveness in the industry, setting a benchmark for others to follow. By choosing Inscribe, you are not just investing in a product; you are securing a partnership that prioritizes your success and safety in a fast-evolving financial landscape.

AB Handshake is a revolutionary solution for telecom service providers. It eliminates fraud on outbound and inbound voice traffic. Our advanced system of interaction between operators validates each call. This ensures 100% accuracy and zero false positives. The Call Registry receives the call details every time a call has been set up. Before the actual call, the validation request is sent to the terminating network. Cross-validation allows for detection of manipulation by comparing call details from different networks. Call registries require no additional investment and run on common-use hardware. The solution is installed within an operator's security perimeter. It complies with security requirements and personal data processing requirements. This is when someone gains access the PBX phone system of a business and makes international calls at the company's expense.

Benford's law serves as a tool for uncovering patterns indicative of improper disbursements. It involves examining audit trail reports from QuickBooks or other bookkeeping software to pinpoint unusual activities like voids and deletions. Additionally, it entails identifying multiple payments made for identical amounts on the same day. A thorough review of payroll runs is conducted to detect any payments exceeding the established salary or hourly rates. Payments made on non-business days are also scrutinized. Statistical calculations help in identifying outliers that may suggest fraudulent activity, and duplicate payments are tested for validation. Vendor files in accounts payable are analyzed for names that may be suspiciously similar, and investigations are conducted to uncover fictitious vendors. Comparisons of vendor and payroll addresses are evaluated using Z-Scores and relative size factor tests. While data monitoring and surprise audits have shown to significantly reduce fraud losses, only 37% of organizations implement these critical controls. For businesses employing fewer than 100 individuals, the average loss due to fraud is estimated at $200,000, highlighting that smaller enterprises often lack the necessary resources to effectively detect and address fraudulent activities. Consequently, it is essential for small businesses to adopt more robust fraud detection mechanisms to safeguard their financial integrity.

Enhance fraud prevention across various digital platforms with an adaptive solution that leverages machine learning and sophisticated data modeling techniques. Swiftly counteract threats such as account takeover, new account scams, and mobile fraud as they occur. By implementing intelligent automation and precise risk scoring, you can significantly decrease manual review processes and lower operational expenses. Ensure compliance with regulations like PSD2 through continuous real-time monitoring of transaction-related risks. Take a proactive stance against digital banking and mobile fraud by upgrading your current fraud prevention measures with OneSpan Risk Analytics. This innovative tool evaluates extensive volumes of data from mobile, applications, and transactions instantaneously, enabling the identification of both existing and emerging fraudulent activities in online and mobile banking environments. With this advanced approach, organizations can stay ahead of fraudsters while improving the overall security of their digital services.

Enable a true one-tap login -- no OTPs, passwords, or magic links needed. We will securely verify your identity using KYC, OCR and AML and enrich the data to onboard high-quality users, while remaining compliant. Secure the entire checkout process with real-time approvals and monitoring of transactions, anomaly detection and fraud protection. Reduce risk, fraud and friction to convert potential customers into paying customers. Our ability to fight fraud increases with each interaction. Simple APIs speed up, protect and guarantee everything, from onboarding to checkout.

IDcheck specializes in cloud-based, automated Biometric Identification Screening, Fraud Detection, and KYC-AML. We authenticate global identity documents using advanced AI and OCR through our proprietary Facial Recognition and Frictionless Lifeness and Motion Detection algorithms. Fake IDs are difficult to spot for professionals. Fake IDs are not detected by professionals. All background screening on the person who passes must be done on the real person. Organisations are at risk of fraud and AML violations. Logging in to IDcheck is much safer than SMS verification. Key-Based 2-Factor authentication is used. The "pin" is not transmitted or stored. The pin will fail if the device is lost or stolen. However, a Key-Based 2-Factor Authentication system can detect the pin even though it is stored and transmitted. Multiple industry-specific automated portals are available with strict access management, permissions, and internal controls. This includes sanctions and checks for credit & wealth sources.

lend.ezee is an innovative lending ecosystem powered by AI that enables banks, NBFCs, credit unions, and fintech companies to swiftly deploy and expand digital loan offerings within days instead of months. This platform integrates all aspects of the lending process, including origination, KYC, underwriting, decision-making, disbursement, and servicing, creating a streamlined and interoperable solution. Featuring advanced rule-based and AI-driven decision engines, dynamic workflows, and connections to multiple credit bureaus, lend.ezee significantly reduces technology dependencies by 80% while enhancing lead-to-loan conversion rates by up to 20 times. Lenders benefit from the ability to rapidly adjust credit offerings, automate the processing of documents, conduct real-time risk assessments, and close compliance gaps without manual intervention. Designed with teams in mind rather than developers, lend.ezee promotes agility, security, and scalability across various lending types, including consumer, business, and secured loans, while also lowering customer acquisition costs by 30 to 50% and providing a swift and seamless experience for borrowers. Ultimately, lend.ezee transforms the lending landscape, making it more accessible and efficient for all stakeholders involved.

Transform your approach to banking fraud detection and prevention into a key competitive advantage by implementing a robust and secure enterprise-wide fraud analytics solution. To effectively retain customers and expand revenue streams, financial institutions must outpace both fraudsters and rivals in the market. Empower your fraud prevention team with advanced data science and AI capabilities, enabling them to deliver effective fraud detection and prevention across various digital channels and payment methods while ensuring a smooth payment experience. Utilize transaction risk analysis in conjunction with your access control server to successfully request exemptions, and adhere to 3DS regulations for online and card-not-present transactions. It is also vital to comply with Anti-Money Laundering (AML) laws and manage any watch list restrictions effectively. A comprehensive enterprise fraud prevention strategy is crucial to safeguarding your customers across all digital interfaces and transaction types. By proactively addressing account takeover fraud, institutions can significantly diminish the risk of financial crimes across their entire digital ecosystem, ultimately fostering trust and security for their customers.

Rippleshot is a company focused on detecting and preventing fraud, utilizing advanced artificial intelligence and machine learning techniques to assist financial institutions in identifying and addressing card fraud proactively. Their main product, Sonar, processes millions of card transactions every day, helping to pinpoint compromised merchants and cards at risk, which allows for prompt and precise action against potential fraud cases. Furthermore, Rippleshot provides an AI-based tool that empowers financial institutions to develop effective fraud prevention rules without requiring extensive IT support. By implementing these innovative solutions, banks and credit unions can significantly lower fraud-related losses, avoid unnecessary card replacements, and improve the overall satisfaction of their cardholders. This company is reshaping the approach banks and credit unions take towards fraud detection through a cloud-driven technology that employs machine learning and data analysis, making it easier and faster to identify fraudulent activities. Their commitment to leveraging technology ensures that institutions stay ahead in the ongoing battle against fraud, reinforcing trust and security in financial transactions.

Tackle advanced location fraud tactics that evade current GeoIP tools, including account takeovers and bot attacks. Boost your detection capabilities for genuine fraud while minimizing both false positives and false negatives by incorporating integrated location verifications. Upgrade your existing fraud and risk management frameworks by utilizing sophisticated location data signals. The system identifies intricate location spoofing techniques such as VPNs, data centers, anonymizers, proxies, and Tor exit nodes. Additionally, it recognizes when smartphone “home” location information is falsified during the creation of synthetic identities. It also supplies historical location data for devices or users to support chargeback dispute resolutions. Furthermore, it generates a unique fingerprint for each identified method of location fraud, enabling you to flag future transactions exhibiting similar patterns. This comprehensive approach not only strengthens defenses but also enhances overall security measures against evolving fraud tactics.

IPQualityScore's suite fraud prevention tools automate quality controls to prevent bots and fake accounts, fraudsters chargebacks & malicious users, without interfering with the user experience. With industry-leading IP reputation data and user validation, you can detect bad actors and block cyber threats. For smoother operations and less headaches, proactive Prevent Fraud™.

Stay ahead of the ever-changing landscape of threats with cutting-edge fraud detection technology that not only enhances efficiency but also helps in cost reduction. LexisNexis FraudPoint utilizes sophisticated analytics to uncover fraudulent applications by tapping into extensive and dynamic identity and digital intelligence. The data is consistently refreshed, allowing you to stay one step ahead of fraudsters. With FraudPoint solutions, organizations can pinpoint instances of fraud before any application is finalized, effectively catching synthetic identities and various other fraudulent activities, which leads to a notable decrease in fraud incidents and financial losses. By streamlining the investigative process, FraudPoint significantly cuts down on administrative expenses related to ineffective inquiries, thereby positively impacting your financial performance. Moreover, this analytic suite provides access to some of the most credible fraud prevention data and insights, including vital digital analytics, enhancing the capacity to detect a wide range of fraudulent behaviors. The comprehensive nature of FraudPoint ensures that organizations are not only equipped to handle current threats but are also prepared for future challenges in fraud detection.

For more than two decades, SettlementOne has earned national acclaim as a premier provider of credit and data verification services for banks, mortgage lenders, brokers, and credit unions across the United States. The company offers cutting-edge, compliant web-based platforms designed to reduce risk while enhancing operational efficiency and simplifying the lending process. Founded in 1999, SettlementOne stands as one of the largest providers of mortgage data in the country, delivering secure and cost-effective solutions that facilitate the mortgage origination and lending experience for both financial institutions and consumers. Reach out to us for further details on how we can assist your business with its needs. Evaluating a borrower's creditworthiness relies on the prompt and precise analysis of data from all three major credit bureaus: Experian, TransUnion, and Equifax. Additionally, SettlementOne’s credit report solutions present user-friendly formats that offer much more than just FICO scores, ensuring a comprehensive view of a borrower’s financial profile. We are committed to helping you navigate the complexities of credit assessments with ease and efficiency.

Greip: Your Ultimate Fraud Prevention Solution Fraud is costing businesses billions every year. If you're running a SaaS platform, e-commerce store, or marketplace, you know how damaging payment fraud, fake accounts, and abusive behavior can be. Chargebacks, lost revenue, and damaged reputations are just the tip of the iceberg. Greip is here to help. Our advanced fraud prevention platform uses real-time IP geolocation, proxy/VPN detection, and AI-driven risk scoring to identify and block fraudulent activity before it impacts your business. Whether it’s stopping fake signups, preventing payment fraud, or mitigating abusive behavior, Greip gives you the tools to protect your revenue and build trust with your customers. Key Features: – IP Geolocation & Proxy Detection: Pinpoint high-risk users and block malicious traffic. – Real-Time Fraud Detection: Instantly identify and block suspicious activity. – AI-Powered Risk Scoring: Make smarter decisions with accurate fraud risk assessments. – Chargeback Prevention: Reduce disputes and protect your revenue. – Customizable Rules: Tailor fraud prevention to your unique business needs. Don’t let fraud hold you back. With Greip, you can focus on what matters mostK while

Anomalia® employs its unique AI algorithms to uncover possible fraud, risks, conflicts, and non-compliance within financial and legal transactions at a granular level. Their anomaly detection for ACH transactions utilizes both customer transaction data and behavioral patterns to spot irregularities, effectively thwarting fraudulent activities. Additionally, Anomalia® assesses the legitimacy of mobile check deposits by examining the checks themselves, the accounts receiving them, and their geographical deposit locations to identify potential fraudulent behavior. In the realm of wire transactions, Anomalia® evaluates the origins and beneficiaries alongside their anomaly scores derived from other wire transfers to recognize and prevent possible fraud. Furthermore, Anomalia® conducts thorough analyses on a variety of transactions, entities, and their interconnections to bolster due diligence efforts aimed at identifying potential money laundering activities. This multi-faceted approach ensures a comprehensive strategy for safeguarding financial integrity.

Traditional check-clearing methods primarily assess the legal and courtesy limits of check amounts, often resulting in low-risk scores and the potential for false positives. In contrast, Tungsten FraudOne software enhances the detection of counterfeit checks through an innovative fraud scoring engine, which can be integrated with various verification tools to more effectively uncover sophisticated fraud schemes. By utilizing adaptable fraud detection strategies during both the capture and clearing stages, particularly as transaction methods like mobile deposits evolve, businesses can significantly streamline their processes. This solution minimizes the labor-intensive manual review of false positives by effectively differentiating between questionable and valid items. Moreover, it bolsters customer assurance by providing safeguards against signature forgery, check alterations, and fraudulent discrepancies. With improved accuracy, organizations can identify a greater number of suspicious checks in a shorter period, enabling them to scrutinize all checks, not just those of high value. Ultimately, this leads to a more efficient and trustworthy check verification process.

minFraud is a service designed to aid businesses in combating online fraud by delivering risk assessment scores and data pertinent to digital transactions. Discover if the minFraud service aligns with the needs of your organization. The riskScore is calculated in less than half a second, utilizing a combination of machine learning algorithms and human analysis of fraud patterns observed across the network. This riskScore is informed by a vast dataset of over 3 billion online transactions that minFraud evaluates each year for numerous online enterprises. In certain situations, such as assessing online activities like account logins, incentivized traffic, or application installations, an IP address might be the sole data available. In such instances, the IP Risk Score enables you to assess the associated risks of the IP, helping to mitigate undesirable activities. Additionally, we highly recommend integrating our device tracking feature to enhance the accuracy of IP risk assessments, providing further assurance against fraudulent actions. By utilizing these tools, businesses can better safeguard their online operations against potential threats.

Fraud Detection serves as a risk management platform that leverages advanced machine learning algorithms alongside stream computing technologies. This tool is designed to uncover fraudulent activities across essential services such as user registrations, transactions, operations, and credit assessments. It offers a comprehensive, anti-fraud system that is well-suited for various industries, including e-commerce, social media, and financial services. By implementing proven risk control strategies that Alibaba Cloud has refined over the past decade, Fraud Detection effectively mitigates risks associated with business expansion. Its protective features have been validated through high-profile promotional events, ensuring reliability and effectiveness. The system boasts rapid, high-dimensional computing capabilities, achieving results within milliseconds while supporting ultra-high concurrency, outstanding performance, and significant scalability due to Alibaba Cloud's robust computing and network infrastructure. Additionally, users can seamlessly integrate their services with Fraud Detection from numerous global regions, facilitating immediate risk identification and response. Overall, this platform not only enhances security but also empowers businesses to thrive in a competitive landscape.

Informativ’s Dealership Compliance Software provides a comprehensive digital compliance platform focused on both showroom and remote transactions (previously known as Dealer Safeguard Solutions/DSGSS), aimed at establishing a reliable, verifiable, and fraud-resistant vehicle sales process. This innovative system streamlines operations by eliminating the need for physical paperwork, facilitating the digital collection of buyer and co-buyer information along with document uploads, and creating a “digital deal jacket” for every transaction, including those that do not finalize, while preserving necessary records in secure cloud storage for an extended duration. It upholds compliance with essential regulatory standards, such as the FTC Safeguards Rule, FCRA obligations, and privacy regulations through the automation of policy workflows, identity scans, and mechanisms for fraud detection. Informativ’s advanced multi-layered engine is capable of scanning over 250 types of barcodes and IDs, identifying potential synthetic and identity fraud risks, and preventing non-compliant deals from proceeding. Additionally, the software is designed with both mobile and desktop functionalities, accommodating in-store and remote sales settings and facilitating early soft-pull credit pre-qualification for prospective buyers. This flexibility enhances the overall customer experience by catering to diverse sales environments and consumer preferences.

Eliminate fraudulent activities right from their inception. The FICO® Application Fraud Manager effectively combats identity-based fraud at the origin by accurately identifying both first-party and third-party application fraud, ensuring a superb customer experience in the process. This solution integrates effortlessly into existing origination systems, allowing for real-time fraud assessments driven by advanced machine learning analytics. By combining analytics, data orchestration, case management, and detection tactics, it enhances the capability to identify and mitigate fraudulent actions. It analyzes numerous behavioral traits to pinpoint unusual patterns that could signal fraud, facilitating more informed decision-making by enriching origination data with insights from both internal and external sources. With pre-built compatibility with systems such as FICO Origination Manager, organizations can quickly implement the solution and streamline their application processing, resulting in a more efficient workflow and enhanced security measures. This comprehensive approach empowers businesses to stay one step ahead of fraudsters while maintaining a positive experience for their customers.

The credit assessment platform serves as a cutting-edge tool for facilitating lending decisions and conducting credit evaluations. It aids financial institutions, including banks and non-banking financial companies (NBFCs), in effectively tracking and addressing risk factors while assessing the credit reliability of potential borrowers through a range of data sources like income tax filings, bank statements, and GST information. This innovative platform ultimately streamlines the lending process, making it more efficient and accurate for all parties involved.

Sensfrx offers an advanced fraud detection and prevention solution that helps businesses protect themselves against a wide range of online threats, such as account takeovers, chargebacks, and bot-driven fraud. By utilizing AI-powered analytics and machine learning, it provides real-time protection, blocking malicious activities before they can impact operations. Sensfrx offers an intuitive, customizable platform that allows businesses to set personalized fraud prevention rules based on specific needs, ensuring a tailored approach for each organization. This flexible solution is designed to support various industries, including e-commerce, banking, and healthcare, offering fraud protection across multiple platforms. Its seamless integration with existing systems ensures that businesses can implement fraud prevention measures without disrupting daily operations, improving overall security and customer trust.

For many years, the Asset Based Lending (ABL) sector has voiced several concerns. Clients have been seeking a method to archive the AssetReader data, which would allow them to analyze simple trends, compare Borrowing Bases, and monitor concentration balances over time while enabling more precise confirmations through an optional module. The programmers expressed a desire to implement artificial intelligence (AI) to work with the data, while both developers and owners were eager to create innovative solutions that leverage this technology. With an impressive 33 years of combined experience in ABL, encompassing audit, operations, fraud investigations, and esteemed ABL training programs, the FinSoft team has developed a much-needed AI tool that the ABL industry has long awaited—providing easily accessible alerts regarding exceptions, anomalies, and unusual items. This innovative approach aims to enhance decision-making processes and ultimately improve overall efficiency within the sector.

Frogo delivers a comprehensive fraud prevention platform powered by AI, designed to protect organizations across multiple sectors such as iGaming, financial services, payments, e-commerce, and logistics. Its system monitors user behavior and transaction activity in real time to detect suspicious patterns like brute force logins, unauthorized promo code activations, chargebacks, BIN attacks, or affiliate manipulation. With flexible rule-based scoring, businesses can create or adjust fraud detection policies tailored to their unique risk profiles. Frogo’s multi-layered approach combines static and dynamic rules with predictive AI models, ensuring that both known and emerging fraud schemes are intercepted. The platform provides detailed analytics, customizable alerts, blacklists/whitelists, and investigation modules to empower fraud teams with actionable intelligence. It can also be configured for unique fraud cases, enabling industry-specific defenses. Companies benefit from reduced chargebacks, improved customer trust, and optimized revenue streams by stopping fraud before it causes significant damage. Backed by ISO27001 certification, Frogo ensures compliance, data security, and reliability for enterprises handling sensitive financial and personal information.

Moonsense empowers users to identify advanced fraud tactics by offering instant access to actionable insights and detailed source data, thereby improving fraud detection while minimizing inconvenience for users. By leveraging user behavior and network intelligence, it is possible to uncover a user’s distinctive digital fingerprint, akin to an individual's actual fingerprint. In an era marked by frequent data breaches, this unique digital signature proves to be effective in identifying complex fraud patterns without burdening the user experience. Among various types of fraud, identity theft remains prevalent. During the process of account creation, there exists a typical behavioral pattern that can be analyzed. By scrutinizing the user's digital signals, accounts that deviate from established norms can be flagged for further investigation. Moonsense is committed to equalizing the odds in the battle against online fraud, ensuring that organizations can protect their users effectively. A single integration opens the door to comprehensive insights into both user behavior and network dynamics. Ultimately, this innovative approach not only enhances security but also fosters trust between users and service providers.

Covius’ Funding Suite® provides an extensive array of credit, verification, and fraud prevention services. The offerings include both individual and consolidated reports sourced from all three major credit bureaus, a variety of credit scoring models, and tailored credit scoring tools that come with updates, verifications, and additional lien and judgment reports available through our secure and proprietary Funding Suite platform. Our adaptable credit solutions empower users to select the desired number of credit repositories and enable our “Smart Credit” upgrade, allowing for a three-vendor report without needing to re-access a consumer's file. Additionally, the interactive Smart Credit report features customizable sorting options and views to facilitate quicker and more efficient data analysis. Furthermore, both Originators and Servicers have the capability to request soft pulls to effectively monitor ongoing creditworthiness and enhance borrower retention strategies. This suite of services is designed to streamline processes and improve decision-making in the credit landscape.

We are a cybersecurity firm that focuses on preventing fraud and safeguarding identities. Our goal is to facilitate secure digital interactions seamlessly for both individuals and organizations as they undergo digital transformation. We utilize various technologies for recognizing individuals by analyzing their unique physiological and behavioral traits. After capturing this data, our system identifies a distinct pattern for every person, which will serve as a reference for future comparisons. We also conduct transactional analyses of user behavior and implement channels specifically designed for detecting and preventing fraud. Our approach includes a secure and rapid exchange of sensitive information, referencing an encrypted data vault. Additionally, we offer a comprehensive multi-channel fraud prevention system that leverages machine learning to develop intelligent profiles, enabling us to identify potentially fraudulent activities based on observed user behavior, ensuring a robust defense against cyber threats. By continuously adapting to new data, we enhance our ability to protect against emerging fraud tactics.

Create, implement, and oversee fraud detection algorithms even if you lack prior machine learning expertise. Utilize your historical data alongside over two decades of Amazon's expertise to develop a precise and tailored fraud detection solution. Begin identifying fraudulent activities right away, effortlessly improve your models with personalized business rules, and apply the outcomes to produce essential predictions. With Amazon Fraud Detector, a fully managed service, customers can swiftly recognize and address potential fraudulent actions, significantly increasing their ability to combat online fraud. This service not only simplifies the model-building process but also allows for ongoing adjustments to keep pace with evolving fraud tactics.

The intersection of theft related to fraud and advanced cyber attacks is escalating and frequently outmaneuvering traditional solutions in more than 85% of instances. In contrast to earlier fraudulent schemes, today's cyber fraud is driven by well-funded global criminal organizations equipped with advanced technical capabilities. To combat these emerging threats, FiVerity employs a sophisticated layer of machine learning that improves upon existing rule-based verification frameworks. Additionally, FiVerity’s Cyber Fraud Network™ supports secure sharing of fraud intelligence among consumer lending institutions, all while safeguarding the privacy of sensitive personal information. This innovative approach not only enhances detection efforts but also fosters a spirit of collaboration among financial institutions, fortifying their defenses against the ongoing battle of cyber fraud. Explore how FiVerity paves the way for a more secure financial landscape.

RiskPay delivers a secure, frictionless payment gateway designed to support high-risk merchants who struggle with traditional providers. The platform enables instant onboarding without KYC, allowing businesses to generate anonymous payment links and begin processing transactions in minutes. Merchants can integrate with WooCommerce through a native plugin or connect directly using APIs for custom setups. RiskPay supports credit and debit cards, Apple Pay, Google Pay, SEPA, ACH, and other alternative payment methods while offering instant USDC (Polygon) payouts with complete transparency. A wide selection of payment gateways—such as Revolut, Robinhood, Coinbase Pay, and Stripe—ensures strong conversion rates and global acceptance. The service prioritizes security with fraud protection, PCI DSS compliance, and reliable, fast payouts. Businesses can track payments in real time, verify transactions on-chain, and view full payout histories through an intuitive dashboard. With flexible pricing plans, rapid approvals, and dedicated support, RiskPay empowers high-risk merchants to grow without payment limitations.

Outseer Fraud Manager serves as a sophisticated platform for managing transactional risk, employing advanced machine learning techniques alongside a robust policy engine to effectively evaluate and minimize risks at every stage of the digital customer journey. By harnessing insights derived from cutting-edge data science technologies that have been validated in high-risk scenarios, businesses can better guard against emerging fraud patterns using exclusive consortium data. Users can take advantage of risk models that have been refined through analyzing billions of transactions across some of the largest financial institutions globally. This platform allows for seamless integration of insights derived from both authentication and payment transactions, enhancing risk scoring by incorporating both first-party and third-party data signals. With the capability to implement uniform risk controls across all customer interactions, businesses can utilize standardized risk scores to strike a balance between mitigating fraud, enhancing customer experience, and managing operational expenses. Additionally, it supports the implementation of policy adjustments in response to the ever-evolving landscape of threats. Continuous collaboration with our team of experts ensures ongoing improvements and enables comparative analysis with peers in similar sectors. Ultimately, this comprehensive approach empowers organizations to maintain a proactive stance against fraud while fostering trust with their customers.

To minimize bad debts and the expenses associated with collection and recovery, it is crucial to steer clear of assigning risk segments to applicants who misrepresent their information on applications. It's important to keep serious fraud losses and write-offs from fraudulent applicants as low as possible. Ensuring that fraud detection does not hinder customer service or slow down decision-making is essential. This involves scrutinizing suspicious cases, reviewing application assessment outcomes, and making informed decisions. Streamlining fraud detection and investigative processes through automation can significantly enhance efficiency. User-friendly interfaces are vital to ensure low resource demands and operational costs. Additionally, the system should automatically allocate cases for further investigation and assign a fraud likelihood score to help prioritize actions. Implementing these measures will ultimately lead to more effective fraud management.

Atmantara serves as a cutting-edge AI infrastructure solution tailored specifically for financial entities, including banks, insurers, and fintech companies, enabling them to deploy and scale bespoke machine learning models both securely and effectively. Optimized for environments that are heavily regulated and rich in data, Atmantara simplifies the complete machine learning lifecycle, from data ingestion to production, by offering a cohesive platform that is friendly to developers. The platform provides both pre-built and customizable models catering to various needs, such as: • Detection of Fraud • Assessment of Credit Risk • Prediction of Customer Churn • Automation of Claims • Collection of Debt • Optimization of Portfolios • Adherence to Regulatory Standards • Enhancement of Payment Processes • Understanding of Documents • Insights into Customer Behavior Equipped with real-time data pipelines, secure model deployment, and comprehensive audit capabilities, Atmantara empowers teams to implement AI solutions with speed, precision, and confidence, thus fostering innovation in the financial sector. As a result, organizations can harness the power of AI to drive better decision-making and enhance overall operational efficiency.

Safeguard against account takeovers, fraudulent new accounts, and multifactor authentication fatigue with the capabilities of PingOne Protect. This solution assesses various attack vectors, assigns risk ratings, and offers valuable insights, enabling the activation of mitigation tools that thwart potential threats while ensuring that genuine users can authenticate without difficulty. By leveraging intelligence-driven policies, PingOne Protect amalgamates the outcomes of diverse risk indicators to derive a comprehensive risk score. This score is linked to specific policies that dictate the level of friction applied during user interactions, which may include techniques like CAPTCHA, password resets, selfie verifications, and push notifications. Enhance the effectiveness of each predictor, consolidate the predictors, integrate signals from external sources, and implement overrides as necessary. The predictors encompass bot detection, IP velocity, user velocity, anomalous velocity, user location discrepancies, IP reputation, usage of anonymous networks, risk behaviors of users, models of user-based risk, detection of new devices, identification of suspicious devices, and custom or third-party predictors, thereby providing a robust solution to manage risks effectively. By utilizing these comprehensive measures, organizations can significantly bolster their defenses against various forms of cyber threats.

Pre-Approval One allows consumers to apply for credit without affecting their credit score. Lender evaluates the applicant's creditworthiness, and offers to lend subject to only collateral requirements or conditions. If the consumer accepts the pre-approved credit offer and meets all the conditions, a hard inquiry will be made. Create a low-friction, single experience for both credit seekers and credit applicants. Collecting all the information you need to underwrite a consumer at the point of intake will help boost take rates. Reduce the time required to complete the application and set expectations for consumers.