Best Fraud Detection Software

Compare the Top Fraud Detection Software as of January 2026

What is Fraud Detection Software?

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 currently available using the table below. This list is updated regularly.

  • 1
    Sila

    Sila

    Sila

    Sila is an end-to-end payment platform that provides Banking-as-a-Service through a developer-friendly payment API that is scalable and allows for fast and secure money transfers. Sila’s payment platform streamlines building and launching fintech apps and embedded payment products for financial products, fintech, crypto, and Web3. Sila’s offerings include Virtual Accounts, Digital Wallets, KYC/KYB, and ACH payments APIs for software teams. Additional functionality is available through a network of pre-approved and pre-integrated partners (to different degrees). Sila was recognized as the Best Payments as a Service Platform by the 2022 Embedded Banking Awards of Tearsheet. Sila is headquartered in Portland, Oregon.
  • 2
    Alviere Hive
    Alviere’s embedded finance platform allows any organization to seamlessly integrate financial products and services into their existing offerings, and provide customers and partners with the most comprehensive embedded financial solution on the market. Alviere’s platform offers an extensive range of customizable branded products and services that include FDIC-insured virtual accounts and physical card issuing, payments, digital global money transfers, and crypto/web3 products, all through one API integration. Alviere is a fully licensed and regulated financial institution, and provides comprehensive compliance, risk management, fraud/AML montioring and security to ensure long-term program success.
    Starting Price: $0
  • 3
    Zum Rails

    Zum Rails

    Zum Rails

    Merging open banking and instant payments, Zūm Rails all-in-one payments gateway allows our clients to seamlessly utilize the payment rails that best fits their needs in the fastest, safest and most efficient way possible. Zūm Rails supports the entire payments journey, from the customer onboarding process to providing advanced data aggregation and KYC tools, moving funds in real-time with fraud prevention and account validation, as well as managing payment operations and simplifying the reconciliation process – all from a single API.
  • 4
    Bolt

    Bolt

    Bolt

    Bolt provides retailers with best-in-class customer conversion through seamless and secure one-click checkout. Leading brands like Revolve, Benefit Cosmetics, and Kendra Scott leverage Bolt's Universal Shopper Network to recognize and access rich, actionable data and insights on shopper behavior from 80M+ US shoppers. Enhancing the buying experience for shoppers by bringing speed, security, and delight to every interaction, Bolt merchants reap the benefits of more engaged, lifetime shoppers. Bolt integrates directly into retailers’ existing technology and payments stack, helping them increase conversion and boost revenue without added third-party-branded buttons or redirects. To learn more, visit bolt.com.
  • 5
    Accertify

    Accertify

    Accertify

    We solve your digital identity and financial fraud risks, making it simpler to protect your organization. As former in-house fraud and risk managers, we understand the sophisticated and complex threats your organization faces daily. We’ve built the most comprehensive platform available to solve your digital risks. Do you have a reactive approach to fraud prevention? Always feel a step behind? Our comprehensive portfolio of fraud management solutions puts you in control so you can proactively identify online fraud threats. We return a real-time risk assessment for every transaction using our award-winning technology that analyzes transaction risk using criteria such as device intelligence, behavior analysis, location data, customer attributes, payment information, and information on the purchase and related transactions. Then we use state-of-the-art machine learning models and established rules to identify good customers, reduce manual review, and highlight risky transactions.
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