Compare the Top Fraud Detection Software that integrates with Amazon EC2 as of October 2025

This a list of Fraud Detection software that integrates with Amazon EC2. Use the filters on the left to add additional filters for products that have integrations with Amazon EC2. View the products that work with Amazon EC2 in the table below.

What is Fraud Detection Software for Amazon EC2?

Fraud detection software provides companies with the tools to evaluate and identify fraudulent activity and fraudulent transactions in order to prevent fraudulent access or financial fraud. Compare and read user reviews of the best Fraud Detection software for Amazon EC2 currently available using the table below. This list is updated regularly.

  • 1
    aiReflex

    aiReflex

    Fraud.com

    Fraud.com's aiReflex determines which transactions are legitimate in real-time using a multi-layer defence coupled with explainable AI to fight fraud & improve customer trust. The detection layer analyses your transactional data in real-time to deliver unmatched risk-scoring accuracy. The multi-layer defence identifies suspicious transactions using our adaptive machine learning algorithms, adaptive rules & next-generational behavioural engine to create hyper granular profiles for every individual to identify abnormal behaviour. aiReflex's Response layer manages fraud centrally via an omnichannel case manager, automating tasks & decision-making to reduce fraud, friction & fraud team inefficiencies. Investigators become superheroes with a 360-degree view of the customer and explainable AI to manage a case with great accuracy & speed, with intelligent search, reporting, queue management & link analysis. Contact us at fraud.com to learn how we can improve your fraud defences.
  • 2
    Udentify

    Udentify

    Fraud.com

    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 Behind the scenes, Udentify embeds cutting-edge technologies into our identity verification and biometric authentication solution via a lightweight and flexible SDK. We are constantly investing in our technologies to stay at the forefront of fraud detection, compliance, and user experiences.
    Starting Price: $0.17
  • 3
    fcase

    fcase

    fraud.com

    Too often, financial institutions face the challenge of siloed anti-fraud systems and operations with little-to-no cross-functional or departmental communication. For fraud prevention to be effective in delivering the perfect balance between fraud prevention and customer experience, the enterprise must be connected and working in harmony via one final orchestration layer that connects and manages your point systems, such as anti-fraud. fcase is the method of connecting fraud tools and related systems via one single, closing the gaps between anti-fraud, cyber, customer services and beyond. The combined central fraud layer streamlines fraud operations, powers fraud automation, manages the customer journey and improves fraud prevention effectiveness. fcase includes: - Journey-time orchestration - OmniChannel Case Management - Threat-centric cases - Centralised reporting To learn more or would like to see how we benefit fraud operations, please reach out at fraud.com
  • 4
    Simility

    Simility

    Simility

    Simility is a cloud-based fraud detection software solution that helps accelerate business, block fraud, and foster loyalty. Combining the power of real-time fraud intelligence, adaptive data ingestion, and visualization and smart decisions, Simility helps analyze millions of transactions on a daily basis and flag those activities that are recognized as suspicious. Founded by Google's fraud-fighting teams, Simility enables users to define undesirable behaviors as fraud and help them detect more subtle behaviors like inter-member harassment and policy violations.
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