Best Fraud Detection Software

Compare the Top Fraud Detection Software as of October 2025

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
    Fraud.net

    Fraud.net

    Fraud.net, Inc.

    Fraudnet's AI-driven platform empowers enterprises to prevent threats, streamline compliance, and manage risk in real-time. Our sophisticated machine learning models continuously learn from billions of transactions to identify anomalies and predict fraud attacks. Our unified solutions: comprehensive screening for smoother onboarding & improved compliance, continuous monitoring to proactively identify new threats, & precision fraud detection across channels and payment types. With dozens of data integrations and advanced analytics, you'll dramatically reduce false positives while gaining unmatched visibility. And, with no-code/low-code integration, our solution scales effortlessly as you grow. The results speak volumes: Leading payments companies, financial institutions, innovative fintechs, and commerce brands trust us worldwide—and they're seeing dramatic results: 80% reduction in fraud losses and 97% fewer false positives. Request your demo today and discover Fraudnet.
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  • 2
    ARGOS Identity

    ARGOS Identity

    ARGOS Identity

    ARGOS Identity provides Identity as a Service (IDaaS) to prevent fraud through advanced digital identity verification services (KYC). Our AI-driven platform ensures secure, seamless identity verification while reducing fraud risks. Face ID for Fraud Prevention: Uses facial recognition to prevent duplicate accounts, Sybil attacks, and account takeovers. Real-Time Identity Verification: Instantly verifies users with AI-powered document and biometric authentication. IP Risk Detection: Identifies high-risk IP addresses and suspicious activity to prevent location spoofing and unauthorized access. Seamless Integration & Compliance: Ensures global compliance while providing a smooth user experience. With multi-layered fraud detection and fast, accurate verification, ARGOS Identity helps businesses protect their platforms and users from evolving threats.
    Starting Price: $0.11 per submission
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  • 3
    Singular

    Singular

    Singular

    Singular empowers marketers to futureproof their growth with next-gen attribution and analytics. We provide a holistic solution that combines mobile attribution with industry-leading cost aggregation, flexible ROI analytics, and automatic loading directly into your BI tools. With Singular you are able to - Measure and report on all the channels you work with - Analyze ROI by combining attribution with leading cost aggregation - Track and analyze across the entire user lifecycle - Block more fraud with best-in-class fraud prevention - Monitor a single managed pipeline with a plug-and-play solution to extract, transform and load analysis-ready marketing data into your chosen data warehouse Top marketers from LinkedIn, Rovio, Microsoft, Lyft, Twitter, EA, and more, rely on Singular for a complete view of their marketing performance.
  • 4
    AB Handshake

    AB Handshake

    AB Handshake

    AB Handshake offers a game-changing solution for telecom service providers that eliminates fraud on inbound and outbound voice traffic. We validate each call using our advanced system of interaction between operators. This means 100% accuracy and no false positives. Every time a call is set up, the call details are sent to the Call Registry. The validation request arrives at the terminating network before the actual call. Cross-validation of call details from two networks allows detecting any manipulation. Call registries run on simple common use hardware, no additional investment needed. The solution is installed within the operator’s security perimeter and complies with security and personal data processing requirements. Practice occurring when someone gains access to a business's PBX phone system and generates profit from the international calls at the business's expense.
  • 5
    Enformion

    Enformion

    Enformion

    Founded by a team of industry pioneers and experts in data technology with over two decades of experience, Enformion’s data repository comprises more than 6,000 data sources and 120 billion records available via a cloud-based platform, API, and batch processing. Using state-of-the-art artificial intelligence (AI) and machine learning (ML), we provide an unparalleled and comprehensive view of people, businesses, assets, and their interrelationships. Our family of solutions empower businesses throughout the United States to make informed decisions that maximize knowledge, improve efficiencies, and better serve the needs of their clients. Enformion’s data provides actionable intelligence for Financial Services, Retail and eCommerce, Accounts Receivable Management, Legal, and Government Agencies, including: Identity Verification, Fraud and Risk Detection, and Collections & Investigations.
  • 6
    Quantexa

    Quantexa

    Quantexa

    Uncover hidden risk and reveal new, unexpected opportunities with graph analytics across the customer lifecycle. Standard MDM solutions are not built for high volumes of distributed, disparate data, that is generated by various applications and external sources. Traditional MDM probabilistic matching doesn’t work well with siloed data sources. It misses connections, losing context, leads to decision-making inaccuracy, and leaves business value on the table. An ineffective MDM solution affects everything from customer experience to operational performance. Without on-demand visibility of holistic payment patterns, trends and risk, your team can’t make the right decisions quickly, compliance costs escalate, and you can’t increase coverage fast enough. Your data isn’t connected – so customers suffer fragmented experiences across channels, business lines and geographies. Attempts at personalized engagement fall short as these are based on partial, often outdated data.
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