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 offers a cloud-driven solution for fraud detection that enhances business operations, prevents fraudulent activities, and builds customer loyalty. By leveraging real-time fraud intelligence, adaptive data ingestion, and advanced visualization, the platform processes millions of transactions every day, identifying and marking suspicious activities. Established by teams dedicated to combating fraud at Google, Simility empowers users to specify what constitutes fraudulent behavior, allowing for the identification of more nuanced issues such as harassment between members and violations of policies. This comprehensive approach not only safeguards businesses but also promotes a trustworthy environment for all users.

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.

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.

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.

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.

Utilizing graph analytics throughout the customer lifecycle can help uncover hidden risks and unveil unexpected opportunities. Conventional Master Data Management (MDM) solutions struggle to accommodate the vast amounts of distributed and diverse data generated from various applications and external sources. The traditional methods of probabilistic matching in MDM are ineffective when dealing with siloed data sources, leading to missed connections and a lack of context, ultimately resulting in poor decision-making and uncapitalized business value. An inadequate MDM solution can have widespread repercussions, negatively impacting both the customer experience and operational efficiency. When there's no immediate access to comprehensive payment patterns, trends, and risks, your team’s ability to make informed decisions swiftly is compromised, compliance expenses increase, and expanding coverage becomes a challenge. If your data remains unintegrated, it creates fragmented customer experiences across different channels, business sectors, and regions. Efforts to engage customers on a personal level often fail, as they rely on incomplete and frequently outdated information, highlighting the urgent need for a more cohesive approach to data management. This lack of a unified data strategy not only hampers customer satisfaction but also stifles business growth opportunities.