Best AML 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.

1Kosmos offers a password-free method for employees, clients, and the general public to engage securely with digital services. Through the integration of identity verification and robust authentication, the BlockID platform establishes a decentralized digital identity that effectively mitigates risks such as identity theft, account compromise, and fraudulent activities, all while ensuring seamless user interactions. Notably, BlockID stands out as the sole platform certified by NIST, FIDO2, and iBeta biometrics, conducting millions of authentication processes each day for major banks, telecommunications companies, and healthcare providers globally. This innovative approach not only enhances security but also significantly improves the overall user experience.

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.

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.