Best Fraud Detection Software for Amazon Web Services (AWS)

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.

Know the real identity of your customer, user, or employee with the Udentify Identity Verification and Biometric Authentication solution. Challenges we solve: - Identify verification - Onboarding - New account opening - Age verification - Fraud prevention - Biometric authentication - Passwordless authentication - Strong customer authentication - KBA replacement - KYC and AML compliance Udentify is iBeta Level 1 and Level 2 certified, quickly integrates into your website or mobile app and lets your users navigate from a desktop to a mobile experience as desired.

fcase is an integrated Fraud Orchestrator. This comprehensive approach to fraud management systems goes beyond simple, standalone detection into an enterprise-focused process. This holistic view of fraud data allows for standardising fraud case interactions, fraud operational processes and governance models. It also provides for performance and quality indicators to be normalised. Our next-generation technologies combine different data platforms and collect information from multiple fraud detection sources to manage fraudulent activities at an enterprise level with adaptive analytics. fcase covers all financial crime, risk compliance, and customer care systems. It centralises alerts and events to one enterprise-wide platform for all your fraud investigation reporting and compliance reporting needs. fcase consolidates multichannel fraud data, simplifies management, centralises data analytics, and significantly increases efficiency. To learn more or would like to see how we benefit fraud operations, please reach out at fraud.com.

Simility, a cloud-based fraud detection solution, helps to accelerate business, prevent fraud, and foster loyalty. Simility combines real-time fraud intelligence, adaptive information ingestion, visualization and smart decision making to analyze millions of transactions daily and flag suspicious activities. Simility was founded by the fraud-fighting teams at Google. It allows users to identify undesirable behavior as fraud and helps them detect subtler behaviors such as inter-member harassment or policy violations.

HyperVerge Inc is a B2B SaaS company providing AI-based identity verification solutions to enterprises in Financial Services, Telecom, Gaming, E-commerce, Logistics, EdTech, and Crypto. Identity Verification Platform helps in onboarding customers seamlessly, fraud checks, face authentication, age verification, document verification, eKYC and other services. Clients onboard over 30 million customers every month using this product. With just an ID and a Selfie, verify the identity of your customer in seconds. Prevent fraud and ensure compliance with AML/KYC. With an accuracy of 99.5% (the highest among competitors) and 600+ million KYCs across 200+ countries since 2019, HyperVerge’s technology is built for scale. They work with SBI, LIC, Jio, Vodafone, Bajaj Finserv, L&T, Swiggy, WazirX, Coinswitch, Razorpay, ICICI Securities, SBI Cards, Grab, CIMB, FE Credit, Home Credit, and 100+ clients across 5+ geographies for their onboarding journeys.

Without any previous machine learning (ML), you can build, deploy, and manage fraud detection systems. To build a precise, customized fraud detection system, you will need to use your 20+ years of Amazon experience and historical data. You can immediately detect fraud, enhance models with your business rules, and then deploy the results to make critical predictions. Without any previous machine learning (ML), you can build, deploy, and manage fraud detection systems. To build a precise, customized fraud detection system, you will need to use your 20+ years of Amazon experience and historical data. You can immediately detect fraud, enhance models with your business rules, and then deploy the results to make critical predictions. Amazon Fraud Detector provides a fully managed service that allows customers to quickly identify fraudulent activities and capture more online fraud.

NEMESIS: Next generation AI-powered anomaly detection technology that detects fraud and waste. NEMESIS: Next generation AI-powered anomaly detector technology that pinpoints efficiency opportunities within your business management systems. NEMESIS, powered by AI, is an enterprise-ready configurable platform for business solutions that enables business analysts to quickly transform data into actionable insights. AI can solve problems such as overstaffing, medical errors and quality of care. NEMESIS's continuous process monitoring allows you to uncover a wide range risk elements. From predicting quality issues to detecting abuse and waste, NEMESIS can help you. Machine learning and AI can be used to detect fraud schemes and prevent them from draining your finances. Continuous visibility of waste and abuse will help you to keep your budget in check and prevent budget deviations.

Graph analytics can uncover hidden risks and uncover new opportunities. Standard MDM solutions do not support large volumes of disparate, distributed data that is generated by different applications and external sources. Traditional MDM probabilistic match doesn't work well when there are multiple data sources. It leaves out business value by missing connections and losing context. Ineffective MDM solutions can have a negative impact on everything, from customer experience to operational performance. Your team won't be able to make timely decisions without on-demand visibility into holistic payment patterns, trends, and risk. Compliance costs will rise, and coverage can't be increased quickly enough. Customers suffer from fragmented experiences due to the disconnect between your data and their business lines. Personalized engagement is not possible because they are based on incomplete, often outdated data.