Alternatives to Subex Fraud Management

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.

At the heart of the Sakon Platform, which focuses on Telecom Expense Management, Enterprise Mobility, and SaaS Management, lies Sakon's innovative inventory engine. The inability to maintain a precise, comprehensive, and dynamic inventory of both network and end-user assets is a significant reason why many enterprise TEM initiatives fail, but Sakon effectively addresses this challenge. The integration of Sakon Mobile with various mobile data sources facilitates seamless employee support, carrier management, and device lifecycle workflows. Covering the entire process from sourcing to payment, Sakon's Technology Expense Management produces impactful outcomes on a global level, making the vision of Network Transformation attainable. Additionally, Sakon’s Network Transformation offering provides essential capabilities for inventory management, program order management, and ROI tracking, all founded on meticulous site-based and cost-based inventory data. Furthermore, by utilizing Sakon Mobile, organizations can enhance their ServiceNow platform, ensuring a comprehensive end-to-end solution for mobility management that meets evolving business needs. This integration not only streamlines processes but also drives efficiency across the entire telecom expense management landscape.

RISK IDENT, a leader in software development, offers anti-fraud solutions for companies in the e-commerce and telecommunications sectors. We are experts in machine learning and data analytics. Our most important products are DEVICE IDENT Device Fingerprinting and FRIDA Fraud Manager. These include account takeovers, payment fraud, and fraud within loan applications. Our intelligent software products detect online fraudulent activity by automatically evaluating and interpreting data points. We provide real-time results that allow you to stop fraudulent attacks before they occur. Multiple awards, serious data security. The key to fraud prevention is the network and evaluation of all relevant data points at high speed. We deliver exactly that: Real-time identification of anomalies.

We create a unique digital fingerprint for every user by analyzing a combination of biometric data, behavioral patterns, device specifics, IP information, and network insights, ensuring ongoing verification throughout the user journey. In addition to identifying threats, our platform allows you to implement customizable policies that automatically counter malware, phishing attempts, and remote access Trojans through Revelock Active Defense. The BionicID™ is constructed from an extensive array of parameters derived from behavioral biometrics, analytics, device information, network data, and threat intelligence. This innovative BionicID™ can authenticate users after just two interactions, significantly cutting down on both false positives and false negatives that can hinder user experience and overwhelm your support team. Regardless of the attack vector—be it malware, RATs, phishing, identity theft, impersonation, or manipulation—the BionicID™ fundamentally transforms security measures. Our advanced anomaly detection and classification engine provides ongoing risk evaluation, safeguarding your users while effectively preventing fraud. With this robust system, organizations can enhance their security posture and improve user trust.

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.

Safeguard business service-level agreements by utilizing dashboards that enable monitoring of service health, troubleshooting alerts, and conducting root cause analyses. Enhance mean time to resolution (MTTR) through real-time event correlation, automated incident prioritization, and seamless integrations with IT service management (ITSM) and orchestration tools. Leverage advanced analytics, including anomaly detection, adaptive thresholding, and predictive health scoring, to keep an eye on key performance indicators (KPIs) and proactively avert potential issues up to 30 minutes ahead of time. Track performance in alignment with business operations through ready-made dashboards that not only display service health but also visually link services to their underlying infrastructure. Employ side-by-side comparisons of various services while correlating metrics over time to uncover root causes effectively. Utilize machine learning algorithms alongside historical service health scores to forecast future incidents accurately. Implement adaptive thresholding and anomaly detection techniques that automatically refine rules based on previously observed behaviors, ensuring that your alerts remain relevant and timely. This continuous monitoring and adjustment of thresholds can significantly enhance operational efficiency.

NEMESIS is an advanced AI-driven technology for anomaly detection that specializes in identifying fraud and inefficiencies. This next-generation platform not only highlights opportunities for improved efficiency within your business management systems, but it also serves as a customizable enterprise solution that allows business analysts to quickly convert data into meaningful insights. By harnessing the capabilities of artificial intelligence, NEMESIS addresses challenges including overstaffing, medical inaccuracies, care quality, and fraudulent claims. With its continuous process monitoring, NEMESIS reveals various risks, from anticipating quality concerns to uncovering waste and misuse. Utilizing machine learning and AI, it effectively identifies fraudulent activities and schemes before they can impact your financial resources. Furthermore, NEMESIS enhances your ability to manage expenses and track budget discrepancies, ensuring ongoing transparency regarding waste and abuse. This comprehensive approach not only improves operational efficiency but also fosters a more accountable financial environment within your organization.

Our Managed Detection and Response (MDR) service is specifically crafted for superior threat detection, proactive threat hunting, anomaly identification, and offering responsive guidance through a comprehensive defense-in-depth strategy that continuously observes and integrates data from network activities, endpoints, logs, and various other sources. In contrast to a conventional Managed Security Service Provider (MSSP), our approach emphasizes proactive threat prevention rather than merely reactive measures. To achieve this, we employ cutting-edge technologies in cloud computing and big data analytics, alongside advanced machine learning algorithms, all supported by the foremost incident response team in the cybersecurity field to effectively pinpoint risks to your systems. Our methodology harnesses a blend of top-tier commercial solutions, open-source resources, and proprietary tools to ensure the highest level of monitoring accuracy. Additionally, we have formed a partnership with Cylance to deliver unparalleled endpoint threat detection and prevention through their innovative solution, CylancePROTECT(™), ensuring that our clients have access to the most effective protection available today. This commitment to leveraging the latest technology and expert collaboration positions us as leaders in proactive cybersecurity solutions.

SymphonyAI presents a comprehensive range of financial crime solutions, spanning from the robust, AI-driven SymphonyAI Sensa-NetReveal Suite to the nimble, AI-focused Sensa point solutions, all designed to enhance, integrate with, or complement your risk management framework. By leveraging adaptable and versatile tools in analytics, investigation, integration, security, and cost efficiency, businesses can effectively navigate the ever-changing landscape of the financial services industry. Moreover, the cutting-edge data analytics features enable the precise identification of irregular activities, establishing a benchmark in the industry for minimizing false positives while improving detection accuracy. This holistic approach not only strengthens risk management but also empowers organizations to maintain compliance in an increasingly complex regulatory environment.

Enhance your fraud detection capabilities while reducing losses through a comprehensive AI-driven solution that integrates various rules and a range of machine learning techniques to boost detection rates without introducing additional hurdles. Utilize automated investigation tools that offer advanced analytics and visual representations, allowing for swift decision-making and timely action. Achieve transparency and adhere to compliance requirements effortlessly with one-click reporting features. Safeguard your business growth and the launch of new products through a versatile and open platform that accommodates expansion across diverse business units and various use cases. This powerful suite of solutions, designed with a cloud-first approach, is built to handle substantial volumes of digital data in real time, improving detection precision and facilitating quick responses to new fraud threats within a unified, multi-tenant enterprise environment. Additionally, the platform's adaptability ensures it can evolve alongside changing market demands, providing businesses with the tools they need to stay ahead.

Amazon GuardDuty is a proactive threat detection solution that consistently oversees for harmful activities and unauthorized actions to safeguard your AWS accounts, workloads, and data residing in Amazon S3. While transitioning to the cloud simplifies the gathering and organization of account and network activities, security teams often face the tedious task of continuously scrutinizing event log data for potential threats. GuardDuty offers a smart and budget-friendly solution for ongoing threat detection within AWS. By leveraging machine learning, anomaly detection, and integrated threat intelligence, the service effectively identifies and prioritizes possible threats. It processes tens of billions of events from various AWS data sources, including AWS CloudTrail event logs, Amazon VPC Flow Logs, and DNS logs. Enabling GuardDuty is a seamless process that requires just a few clicks in the AWS Management Console, eliminating the need for any software or hardware installation or upkeep. This ease of deployment allows organizations to focus more on their core operations while maintaining a robust security posture.

Dataiku serves as a sophisticated platform for data science and machine learning, aimed at facilitating teams in the construction, deployment, and management of AI and analytics projects on a large scale. It enables a diverse range of users, including data scientists and business analysts, to work together in developing data pipelines, crafting machine learning models, and preparing data through various visual and coding interfaces. Supporting the complete AI lifecycle, Dataiku provides essential tools for data preparation, model training, deployment, and ongoing monitoring of projects. Additionally, the platform incorporates integrations that enhance its capabilities, such as generative AI, thereby allowing organizations to innovate and implement AI solutions across various sectors. This adaptability positions Dataiku as a valuable asset for teams looking to harness the power of AI effectively.

VictoriaMetrics Anomaly Detection, a service which continuously scans data stored in VictoriaMetrics to detect unexpected changes in real-time, is a service for detecting anomalies in data patterns. It does this by using user-configurable models of machine learning. VictoriaMetrics Anomaly Detection is a key tool in the dynamic and complex world system monitoring. It is part of our Enterprise offering. It empowers SREs, DevOps and other teams by automating the complex task of identifying anomalous behavior in time series data. It goes beyond threshold-based alerting by utilizing machine learning to detect anomalies, minimize false positives and reduce alert fatigue. The use of unified anomaly scores and simplified alerting mechanisms allows teams to identify and address potential issues quicker, ensuring system reliability.

Anodot uses AI to deliver autonomous analytics at enterprise scale across all data types and in real-time. We provide business analysts with the ability to control their business, without the limitations of traditional Business Intelligence. Our self-service AI platform runs continuously to eliminate blind spots and alert incidents, and investigate root cause. Our platform uses machine learning algorithms that are patent-pending to identify issues and correlate them across multiple parameters. This eliminates business insight latency and supports quick, smart business decision-making. Anodot serves over 100 customers in the digital transformation industry, including eCommerce, FinTech and AdTech, Telco and Gaming. This includes Microsoft, Lyft and Waze. Anodot was founded in 2014 in Silicon Valley and Israel. There are also sales offices around the world.

Oversee, regulate, and automate the operations of spacecraft efficiently. Manage a variety of missions, an assortment of satellites, and different payloads through a cohesive interface. Control various satellite models within a single platform, enabling the smooth transition from older fleets to support for next-generation payloads. Utilize Quindar Mission Management to monitor spacecraft, secure communication slots, automate task assignments, and respond intelligently to incidents both on the ground and in space. Leverage cutting-edge analytics and machine learning capabilities to transform raw data into strategic insights. Accelerate decision-making processes through predictive maintenance, trend evaluation, and anomaly detection. By harnessing data-driven insights, you can advance your mission effectively. This solution is designed for seamless integration with your current systems and third-party tools. As your operational requirements change, your capabilities can adapt accordingly without being hindered by vendor limitations. Furthermore, conduct thorough analyses of flight trajectories and commands across the majority of command and control systems, ensuring comprehensive oversight and management of all spacecraft activities.

Ensure proactive defense through cutting-edge analytics, artificial intelligence, and machine learning. Adopting a comprehensive strategy towards fraud, compliance, and security is crucial. SAS's security intelligence solutions provide a vital protective layer, supported by industry expertise and top-tier analytics. Protect your organization's integrity along with its financial health. Prevent fraudulent, wasteful, and abusive payments before they can happen. Stay compliant with the constantly evolving regulatory landscape. Implement a risk-oriented strategy that enhances transparency and minimizes compliance risks. Assess customer interactions throughout their entire life cycle to mitigate the chances of identity theft and digital fraud. Respond with increased speed and efficacy to criminal activities, terrorism, and various security threats by utilizing a unified, analytics-driven method for risk and threat evaluation. Delve into how SAS's advanced analytics solutions, featuring predictive analytics and integrated AI functionalities, can address a broad spectrum of strategic business objectives. By leveraging these innovative tools, organizations can not only enhance their security measures but also foster a more resilient operational framework.

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.

Examine the usage of your data assets, focusing on aspects like popularity, utilization, and schema coverage. Gain vital insights into your data assets, including their quality and usage metrics. You can easily locate and filter the necessary data by leveraging metadata tags and descriptions. Additionally, these insights will help you drive data governance and establish clear ownership within your organization. By implementing a streamlined lineage from data lakes to warehouses, you can enhance collaboration and accountability. An automatically generated field-level lineage map provides a comprehensive view of your entire data ecosystem. Moreover, anomaly detection systems adapt by learning from your data trends and seasonal variations, ensuring automatic backfilling with historical data. Thresholds driven by machine learning are specifically tailored for each data segment, relying on actual data rather than just metadata to ensure accuracy and relevance. This holistic approach empowers organizations to better manage their data landscape effectively.

Supervizor's continuous quality assurance, featuring unmatched anomaly detection, is designed to eliminate errors in accounting and mitigate fraud risks. Our goal is to empower companies to generate trustworthy financial information. With distinctive anomaly detection features, Supervizor enables organizations to pinpoint various types of mistakes, including those related to accounting, as well as potential fraud attempts. As errors are systematically created by processes and personnel, companies are increasingly facing sophisticated fraud schemes. By connecting your ERP system, Supervizor can aggregate journal entries utilizing a comprehensive library filled with millions of accounting patterns. You can run ready-to-use checks continuously across diverse areas, fostering collaboration among teams to ensure the quality of financial data across different subsidiaries, systems, departments, and regions. The platform also automates the extraction and preparation of your data, saving you from the tedious tasks of manual gathering, scrubbing, and formatting. Additionally, it smartly identifies and ranks your most critical findings for investigation, effectively reducing the likelihood of false positives while enhancing overall accuracy. Through these capabilities, Supervizor not only enhances financial integrity but also streamlines the auditing process for organizations.

Harness the power of AI for detecting anomalies and analyzing root causes related to the key metrics that influence your organization. With machine learning technology, Avora provides constant, round-the-clock surveillance of your business metrics, notifying you of significant events promptly, allowing you to respond within hours instead of waiting days or weeks. It processes millions of records each hour to identify unusual patterns, revealing both risks and opportunities that could impact your operations. By employing root cause analysis, you can pinpoint the elements affecting your business metrics, enabling swift and informed decision-making. Integrate Avora’s machine learning features and alert systems seamlessly into your applications through our comprehensive APIs. Receive notifications about anomalies, shifts in trends, and threshold breaches through various channels such as email, Slack, Microsoft Teams, or any other service via Webhooks. Collaborate effectively by sharing valuable insights with your team members, and invite them to monitor current metrics and get real-time alerts, fostering a proactive approach to business management. This collaborative environment enhances your ability to stay informed and agile in a rapidly changing landscape.

Fraud Detection serves as a risk management platform that leverages machine learning algorithms and streaming technology. This tool is instrumental in uncovering fraudulent activities across essential services such as user sign-ups, transactions, operational processes, and credit assessments. Designed as a comprehensive anti-fraud solution, it caters to various industry applications, including e-commerce, social media, and finance. By utilizing over a decade of refined risk control practices from Alibaba Cloud, Fraud Detection significantly mitigates risks associated with business expansion. Its effectiveness has been validated through globally recognized promotional campaigns. The platform boasts the ability to perform high-dimensional computations in mere milliseconds, offering remarkable concurrency, performance, and scalability, all powered by Alibaba Cloud's robust computing and network infrastructure. Additionally, it allows for seamless connectivity to services across multiple global regions, facilitating immediate risk assessment and response. This comprehensive approach to fraud detection not only enhances security but also instills confidence in businesses operating in a digital landscape.

InsightFinder Unified Intelligence Engine platform (UIE) provides human-centered AI solutions to identify root causes of incidents and prevent them from happening. InsightFinder uses patented self-tuning, unsupervised machine learning to continuously learn from logs, traces and triage threads of DevOps Engineers and SREs to identify root causes and predict future incidents. Companies of all sizes have adopted the platform and found that they can predict business-impacting incidents hours ahead of time with clearly identified root causes. You can get a complete overview of your IT Ops environment, including trends and patterns as well as team activities. You can also view calculations that show overall downtime savings, cost-of-labor savings, and the number of incidents solved.

Create, implement, and oversee fraud detection systems even if you lack prior machine learning (ML) knowledge. Leverage your past data along with over two decades of expertise from Amazon to develop a precise and tailored fraud detection solution. Begin identifying fraudulent activities right away, effortlessly improve your models with personalized business rules, and deploy your findings to make essential predictions. Amazon Fraud Detector is a comprehensive service designed to assist users in recognizing potential fraudulent behavior, allowing for quicker identification of online fraud. This service empowers businesses to not only enhance their security measures but also adapt their strategies based on evolving fraud patterns.

Anticipate issues before they arise using the Azure AI anomaly detection service, which allows for seamless integration of time-series anomaly detection features into your applications, enabling users to swiftly pinpoint problems. The AI Anomaly Detector processes various types of time-series data and intelligently chooses the most suitable anomaly detection algorithm to provide high precision. It identifies anomalies such as spikes, drops, deviations from established patterns, and changes in trends via both univariate and multivariate APIs. You can tailor the service to identify different levels of anomalies based on your specific needs. Furthermore, you have the flexibility to deploy the anomaly detection service either in the cloud or at the intelligent edge, as required. With a robust inference engine that evaluates your time-series data, the service autonomously identifies the optimal anomaly detection algorithm to enhance accuracy for your situation. This automatic detection process reduces the need for labeled training data, allowing you to conserve time and concentrate on resolving issues as they arise, ultimately improving operational efficiency. By leveraging this powerful tool, organizations can proactively manage potential disruptions and streamline their response strategies.

Leverage the most extensively utilized observability platform, founded on the reliable Elastic Stack (commonly referred to as the ELK Stack), to integrate disparate data sources, providing cohesive visibility and actionable insights. To truly monitor and extract insights from your distributed systems, it is essential to consolidate all your observability data within a single framework. Eliminate data silos by merging application, infrastructure, and user information into a holistic solution that facilitates comprehensive observability and alerting. By integrating limitless telemetry data collection with search-driven problem-solving capabilities, you can achieve superior operational and business outcomes. Unify your data silos by assimilating all telemetry data, including metrics, logs, and traces, from any source into a platform that is open, extensible, and scalable. Enhance the speed of problem resolution through automatic anomaly detection that leverages machine learning and sophisticated data analytics, ensuring you stay ahead in today's fast-paced environment. This integrated approach not only streamlines processes but also empowers teams to make informed decisions swiftly.

Score-based identity verification API to prevent fake identities, e-commerce fraud, and bad actors. - Top-Level Score - Phone Verification - Email Verification Address Verification - IP Verification

The Detection and Monitoring Hub, a product by PwC, enhances your previous investments by swiftly uncovering compliance insights like fraud and corruption while adapting based on monitoring outcomes. By focusing on high-risk activities in dynamic markets, it enables you to better allocate resources using advanced analytics and machine learning techniques. With established frameworks, rules, and processes, your teams can ensure consistent recommendations across all risk and compliance initiatives. This solution streamlines operations into one cohesive system, improves alert management, and minimizes false positives, effectively lowering the costs associated with risk management and compliance. Utilizing cutting-edge algorithms and artificial intelligence, combined with our unparalleled industry expertise, we enhance the speed and precision of risk detection. The Detection and Monitoring Hub integrates data, systems, and processes to create a singular, reliable source of information. Designed for quick deployment, it ensures you can rapidly transition from planning to action without delay. This efficiency not only saves time but also allows your organization to respond proactively to emerging risks.

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.

We collaborate closely with our merchants to enhance their earnings by elevating their success rates while minimizing risks. Through comprehensive customer data analysis, we gain valuable insights into the most suitable payment methods tailored to a merchant's specific requirements. Our customizable scoring system integrates payment and business rules with customer data, employing machine learning to boost revenue, safeguard against fraud, and prevent chargebacks. Leveraging industry-leading data analytics, we uncover actionable customer insights that drive conversions, enhance revenue, and foster long-term loyalty. Merchants can accept payments in 150 currencies and over 220 payment methods across all channels, including online, mobile, and brick-and-mortar stores, all through a single integration. HiPay stands as a global payment platform that recognizes the significance of payments beyond mere transactions. Our unique and agile platform empowers merchants to maximize the value derived from their payment data across various sales channels. By optimizing conversion rates and revenue streams, merchants can also identify and seize new opportunities for growth. Ultimately, our mission is to reshape the payment landscape, enabling merchants to thrive in an ever-evolving market.

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.

Fraud Detection Modern fraud prevention systems rely on documenting issues and establishing expert-defined rules to combat them; however, due to the vastness and ever-changing nature of fraud, this approach is often inadequate. POINTER introduces a forward-thinking strategy that swiftly identifies fraudulent activities by recognizing transactions that deviate from a user’s usual behavior. Utilizing a proprietary mathematical model along with advanced data mining methodologies, POINTER generates a dynamic Personal Symbolic Vector. Additionally, the incorporation of auto-learning techniques allows the system to adapt to realistic behavioral changes over time. This adaptability guarantees that user profiles remain current and that the most recent expert rules are applied for fraud detection. Furthermore, POINTER significantly reduces the number of false alerts, thereby minimizing the research time required by staff while simultaneously enhancing customer service. Institutions can also customize these parameters to achieve the most effective balance for their specific needs. Ultimately, this innovative approach revolutionizes the way organizations manage and mitigate fraud.

Enhance your customer conversion rates and bolster your defenses against fraud by leveraging dynamic threat intelligence that is seamlessly integrated throughout the digital journey. In today's online marketplace, even a few seconds of delay can translate into significant revenue loss for your business. It is essential to not only boost conversion rates but also to effectively manage an increasingly complex landscape of cybercrime threats. LexisNexis® ThreatMetrix® offers a robust enterprise solution for digital identity intelligence and authentication, relied upon by over 5,000 prominent global brands to guide their daily transaction decisions. Our fraud prevention solutions merge insights from billions of transactions with advanced analytic technologies and integrated machine learning, creating a cohesive approach to decision analytics that spans the entire customer journey and empowers businesses to combat fraud more effectively. By utilizing these comprehensive tools, organizations can not only optimize their operations but also build lasting trust with their customers.

Combat fraud and financial crime with unmatched precision using the FICO® Falcon® Fraud Manager, a comprehensive platform for managing fraud, AML, KYC, and sanctions screening. This powerful tool allows you to create rules, implement machine learning algorithms, coordinate workflows, and oversee investigations all from a centralized location. By utilizing FICO® Falcon® Fraud Manager, you can achieve integrated operations on a large scale, enabling quicker fraud detection and crime prevention while enhancing digital experiences that foster strong consumer trust. Push the limits of financial crime detection with multidimensional capabilities that accommodate any data feed in any format. Effortlessly integrate streaming and batch updates from diverse sources, allowing you to map data for aggregations, derive variables, and create contextual data services. Select from a variety of established FICO machine learning models, along with your own models or those sourced from third parties. Furthermore, you can design, assess, and implement models using open-source libraries through the FICO® Analytics Workbench™ – Falcon® Edition, ensuring a customizable and effective approach to fighting financial crime. This comprehensive system not only enhances security measures but also enables organizations to stay ahead in an ever-evolving landscape of threats.

Customers can effortlessly register for your services in a matter of minutes. Are you seeking a rapid and straightforward identity verification solution that is accessible at any time and from any location, all while maintaining high standards of security and user-friendliness? By integrating cutting-edge AI and machine learning, which has been refined using millions of datasets and supported by a team of leading identity and fraud experts, you can achieve the ideal balance between efficiency and reliability. Experience KYC identification in just minutes, available globally across 195 countries and in over 30 languages. Users enjoy exceptional usability across various platforms, including desktop, tablet, the IDnow mobile app, SDK, and POS processes, as evidenced by excellent user reviews. The technology leverages modern AI and machine learning, honed through extensive datasets. Furthermore, all data centers, identification facilities, and identity specialists are situated exclusively within the European Union, ensuring a robust level of data protection for our services. With IDnow AutoIdent, document verification can be conducted anytime and anywhere, making the process even more flexible and user-centric. This innovative solution not only streamlines identity verification but also enhances the overall user experience, allowing businesses to serve their clients more efficiently.

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.

Oscilar is a no-code platform that leverages AI to facilitate risk decision-making, specifically tailored for fintech companies to effectively manage issues related to fraud, credit, and compliance. It serves as a comprehensive solution for risk, fraud, and credit decision-making, allowing users to save on engineering time through automation without the need for coding. With machine learning models specifically designed to adapt to your unique data, Oscilar enhances its capabilities by learning from user interactions and behaviors, enabling the automation of a majority of risk-related decisions. This platform is particularly advantageous for those looking to evolve operational rules and workflows without any programming, as it allows for the straightforward creation and modification of such rules. Additionally, users can test modifications through a range of simulations including unit tests, backtests, shadow tests, and A/B tests, ensuring a smooth transition from local to staging and then to production environments. Oscilar provides a real-time, comprehensive view of your users and their transactions by seamlessly integrating both internal and external data sources with just a few clicks. Furthermore, the platform can be customized to meet specific risk management requirements, offering decision-making workflows that incorporate rules, machine learning models, velocity counters, and more, all accessible through an easy-to-use interface. This flexibility ensures that organizations can respond quickly to emerging risks while maintaining control over their decision-making processes.

Founded by a team of industry pioneers and experts in data technology with over two decades experience, Enformion’s data repository comprises more than 6,000 data sources and 120 billion records available via cloud-based platform, API, and batch processing. Using state-of-the-art artificial intelligence (AI) and machine learning (ML), we provide an unparalleled and comprehensive view of people, businesses, assets, and their interrelationships. Our family of solutions empower businesses throughout the United States to make informed decisions that maximize knowledge, improve efficiencies, and better serve the needs of their clients. Our Values Partnering for Success: Our goal is to build lasting relationships with our clients and partners with a single driving force and common purpose – that their continued success is Enformion’s success. Quality You Can Trust: We offer best-in-class data, analytics, and applications that are customized to each customer’s specific workflow. Built on next-generation technology, with a focus on AI and ML, our data solutions allow businesses to make informed decisions with confidence.

Bottomline’s cloud-enabled platform, Secure Payments, empowers financial institutions and corporations to mitigate risks, thwart fraud, and comply with regulatory standards through its adaptable and comprehensive framework. This solution seamlessly connects with all banking infrastructures via secure APIs and integrates with Bottomline's Digital and Payments Banking services. Monitoring an immense volume of transactions globally, Secure Payments allows users to review outgoing payments across various methods including Card, Check, ACH, Wire, SWIFT, FileAct, SEPA, SIC4, Fedwire, and ISO standards like ISO200022 and ISO8583. Users can evaluate alerts and prioritize actions based on their specific concerns. The system intelligently categorizes alerts through a sophisticated machine-learning algorithm, which tailors the notifications based on past resolutions, ensuring that organizations can concentrate on their most critical risk areas effectively. This proactive approach not only enhances security but also streamlines compliance efforts across the organization.

The aiRiskNet® platform serves as a real-time and near real-time self-service rules engine aimed at identifying and preventing various forms of payment fraud and suspicious transactions, utilized by card issuers, acquirers, payment service providers (PSPs), and merchants globally. This versatile solution can be deployed either as licensed software on-premises or as a cloud-based service through Azure. Designed to safeguard the entire payment ecosystem, aiRiskNet® offers a modular structure with three primary configurations that can function independently or be integrated into a comprehensive enterprise solution. Specifically, aiRiskNet® Acquirer focuses on managing merchant risks and detecting fraud across different payment channels, including POS and ATM transactions. Meanwhile, aiRiskNet® Issuer targets fraud detection for financial institutions and card issuers, addressing all types of card payments such as credit, debit, pre-paid, private label, and e-wallets, in addition to handling other payment methods like cheques, ACH, and wire transfers. This adaptability ensures that users can effectively combat fraud in a manner tailored to their specific operational needs.

Reduce fraudulent activities while increasing revenue through Fraugster's advanced AI-driven fraud protection solutions. Our technology offers precise real-time decision-making that enhances overall performance, business outcomes, and customer satisfaction. With Fraugster, merchants can effectively verify customer identities and evaluate fraud risk at every step of the customer journey, from account creation to the final checkout process. Our range of fraud protection solutions is conveniently accessible through a REST API, allowing you to select the most suitable option tailored to your needs and receive accurate decisions in just 15 milliseconds. Utilizing a behavioral science-based approach, our unique AI system replicates the reasoning of human analysts while benefiting from the scalability of machines. This ensures that genuine customers enjoy a seamless experience, while potential fraudulent transactions are effectively filtered out. Embracing Artificial Intelligence is essential for the future of fraud prevention, and with Fraugster's FraudFree, merchants can significantly enhance their operational performance and secure their revenue streams even further. By trusting in our solutions, businesses can confidently navigate the complexities of the digital marketplace.

We address the challenges of digital identity and financial fraud, streamlining the protection of your organization. Having previously served as fraud and risk managers, we are acutely aware of the intricate and advanced threats your organization encounters on a daily basis. Our platform stands out as the most extensive solution available for managing your digital risks effectively. Are you currently adopting a reactive stance towards fraud prevention? Do you often feel as though you're struggling to keep up? With our extensive suite of fraud management solutions, you can take charge and proactively detect online fraud risks. Our technology delivers a real-time risk assessment for every transaction, employing award-winning methods that evaluate risks based on factors such as device intelligence, behavioral patterns, geographical data, customer profiles, payment details, and information regarding the purchase and any related transactions. Furthermore, we apply cutting-edge machine learning techniques along with established rules to efficiently identify legitimate customers, minimize the need for manual reviews, and emphasize transactions that may pose a risk. This comprehensive approach not only enhances your security but also empowers your team to make informed, swift decisions in the face of potential fraud.

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.

Integrate fraud and compliance risk into a holistic solution that provides ultimate control in omnichannel environments. Protect your organization against fraud and mitigate risks. Effective is a modular, centralized hub for risk management that will get you compliant from the start and fraud-free. It uses AI & ML algorithms that adapt to changing organizational needs. One interface that integrates all the risk tools currently used. Use a unified API for fraud reduction, compliance, and operational efficiency. With a combination of internal intelligence, best-in-class services, and human intuition, you can gain critical insights and streamline the efficiency of your team. No engineering skills are required to customize fraud workflows and case management. A customizable dashboard allows you to visualize threats and monitor bad actors. Investigate suspicious activities quickly, gain insight into fraud ring behavior, and identify emerging threats.

Marble is a real-time, open-source engine that tracks transactions, events, and users to detect money laundering, fraud, or service abuse. We offer a rule builder that is easy to use and can be used with any type of data. We also provide an engine that can run checks in batch mode or in real time, as well as a case manager for improving operational efficiency. Marble is a great tool for payment service providers, banking-as a-service providers, neobanks and marketplaces. It's also a good fit for telecommunications firms. It allows them to quickly create and update detection scenarios which generate decisions in minutes. These decisions can trigger events within your systems, cause friction or restrict real-time operations. You can also investigate them within Marble by using our case manager, or in your system by utilizing the Marble API. Marble was developed with compliance in mind. It ensures that everything is versioned, auditable and without time limits.

CloudNito, an AI-powered SaaS solution, is designed to help companies of all sizes optimize AWS cloud costs. Our solution combines real time monitoring, advanced anomaly detecting, and automated cost saving actions to eliminate wasteful cloud spending and improve efficiency. The following are the key features: AI-driven cost anomaly identification Automated resource scaling, optimization and scaling Cost allocation and reporting in detail Cost forecasting - a predictive tool Customizable alerts, thresholds and alerts CloudNito allows companies to save on their AWS costs, ensuring that they get the most out of their cloud investment.

The LexisNexis Risk Defense Platform serves as a versatile and customizable engine for policy decision-making, aimed at assisting businesses in effectively navigating intricate fraud challenges, all while maintaining a seamless customer journey during onboarding, login, authentication, or account management. By establishing a single connection point, the platform integrates your organization with a comprehensive suite of fraud and identity solutions, along with insightful reporting metrics that enhance your capacity for secure authentication. This enables you to maintain workflow flexibility, ensuring that your fraud prevention strategies stay proactive against emerging threats while providing a smoother experience for legitimate customers. Ultimately, the Risk Defense Platform not only bolsters security but also empowers businesses to optimize their operations in an ever-evolving risk landscape.

Merchants and businesses can rely on Signifyd's robust eCommerce fraud prevention solutions. Their Commerce Protection Platform includes three key components: Revenue Protection, Abuse Prevention, and Payments Optimization, which collectively alleviate the burdens associated with eCommerce fraud, abuse, and payment compliance, allowing retail professionals to concentrate on essential business strategies and initiatives. In a time when cybercrime and severe data breaches are increasing, it's natural to feel apprehensive. Discover ways to safeguard your enterprise while facilitating commerce that transcends channels and borders, all while ensuring a smooth checkout process. Leverage our global Commerce Network™ to provide customers with a seamless experience as you mitigate fraud and abuse. With Signifyd’s unwavering 100% financial guarantee against fraud and abuse, you can confidently automate payments on a larger scale. Empowering merchants with shopper insights, Signifyd enables an average approval increase of 5‑7% for orders. This enhanced capability not only boosts revenue but also fortifies the overall customer experience.

Analytics Intelligence is a pioneering software development firm specializing in data analytics and artificial intelligence. We are convinced that the rapid expansion of data, along with advancements in data analysis and AI, is fundamentally transforming the operational landscape for organizations, municipalities, and governmental bodies as we move forward. Our mission is to provide an array of services and products that empower clients to adopt robust Digital Transformation strategies that are designed to stand the test of time. Furthermore, we offer consultative services that include custom data architecture project planning, management, and implementation, as well as data science and insight reporting support tailored for forward-thinking entities in both the public and private sectors. By fusing the expertise of skilled data scientists with cutting-edge AI technologies, Analytics Intelligence aims to enhance data analysis capabilities, support informed decision-making, and streamline digital service offerings. Our commitment to innovation is reflected in our extensive research and development of artificial intelligence agents and chatbot systems targeted at the enterprise market, a journey we have embarked on since 2010, and we continue to evolve our offerings to meet the changing needs of our clients.

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.

The swift adoption of cloud technology, combined with the intricacies of multi-cloud setups and isolated security teams, results in a significant visibility deficit for numerous organizations. Wraith effectively tackles this issue by delivering exceptional visibility and threat-hunting functionalities that span on-premise, hybrid, and multi-cloud infrastructures. With the incorporation of AI-driven anomaly detection, Wraith becomes an indispensable resource for identifying and mitigating concealed threats, thereby safeguarding cloud environments. Additionally, Wraith offers extensive visibility across various terrains, enabling security teams to oversee assets and activities across multiple Cloud Service Providers (CSPs) using a single toolset. This capability not only fosters a cohesive security framework but also accelerates threat response times in the face of diverse and intricate cloud ecosystems, making it a vital component for modern cybersecurity strategies. Ultimately, organizations can enhance their security measures and respond more effectively to emerging threats.