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Founded Year



Series E | Alive

Total Raised




Last Raised

$205M | 2 yrs ago



About Signifyd

Signifyd combines machine learning with human work to eliminate online payment fraud for e-commerce companies. The company leverages big data, machine learning and domain expertise to provide a financial guarantee against fraud on approved orders that later turn out to be fraudulent.

Headquarters Location

2540 North First Street 3rd Floor

San Jose, California, 95131,

United States


Signifyd's Product Videos

ESPs containing Signifyd

The ESP matrix leverages data and analyst insight to identify and rank leading companies in a given technology landscape.

Enterprise Tech / Information Security

The fraud detection & prevention market offers a range of technology solutions to help businesses combat fraudulent activity across digital and physical channels. These solutions provide real-time analysis of potential customer interactions, identity verification, and authentication, as well as comprehensive fraud detection and prevention capabilities. The market is driven by the growth of e-comme…

Signifyd named as Leader among 15 other companies, including ComplyAdvantage, Featurespace, and SEON Technologies.

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Research containing Signifyd

Get data-driven expert analysis from the CB Insights Intelligence Unit.

CB Insights Intelligence Analysts have mentioned Signifyd in 6 CB Insights research briefs, most recently on Feb 27, 2023.

Expert Collections containing Signifyd

Expert Collections are analyst-curated lists that highlight the companies you need to know in the most important technology spaces.

Signifyd is included in 13 Expert Collections, including E-Commerce.



10,544 items


Unicorns- Billion Dollar Startups

1,214 items



1,451 items

Technology that addresses regulatory challenges and facilitates the delivery of compliance requirements in FIs. Regulatory technology helps FIs and regulators address challenges ranging from traditional compliance and risk management to data reporting and transmission.


Fintech 250

997 items


Cyber Defenders

29 items

Our selected startups are early- to mid-stage high-momentum companies pioneering technology with the potential to transform cybersecurity. Unicorns valued at $1B+, companies that have raised funding past the Series C stage, and companies that have not raised funding since 2016 ar



2,673 items

Companies and startups in this collection enable consumers, businesses, and governments to pay each other - online and at the physical point-of-sale.

Latest Signifyd News

10 Best Fraud Detection Software and Tools in 2023

May 20, 2023

3 mins read The best fraud detection software and tools in 2023 has features to help detect fraudulent activities Intro: With the advancement of technology, the demand for robust fraud detection solutions has increased. Fraud detection is the process that identifies and prevents fraudulent activities within an organization or system using software and tools. Fraud detection software and tools play a crucial role in today’s business landscape. The fraud management industry is set to grow to US$38.2 billion by 2025. Companies spend more money on protection from fraudulent attacks that include financial fraud, cyber fraud, insurance fraud, identity fraud, and more. The primary goal of fraud detection is to proactively identify and mitigate fraudulent activities to minimize financial losses, protect assets and maintain trust in business operations. The software and tools are essential components of a robust risk management strategy and investing in fraudulent solutions is crucial in today’s dynamic business world. In this article, we discuss the 10 best fraud detection software and tools in 2023: 1.SEON SEON is a fraud detection tool that utilizes advanced AI and machine learning algorithms to identify and prevent fraudulent activities. It offers features such as device fingerprinting, behavioral analysis, and anomaly detection. SEON’s platform provides real-time risk assessment, customizable rules, and integration capabilities, empowering businesses to proactively detect and mitigate fraud while ensuring a seamless customer experience. The integration of SEON into the existing security stack comes with hands-on assistance from fraud experts. 2.Signifyd Signifyd is a fraud detection software that leverages machine learning and data analysis to identify and prevent fraudulent transactions. Through revenue protection, payment optimization, and abuse protection, Signifyd protects more than 10,000 online stores globally. It assesses risk in real-time, providing businesses with accurate fraud scores and enabling them to make informed decisions. Signifyd’s platform offers chargeback prevention, and account takeover protection, and integrates with various e-commerce platforms. It helps businesses reduce fraud losses, increase operational efficiency, and enhance customer trust and satisfaction. 3.ClearSale ClearSale is a fraud detection solution that specializes in e-commerce fraud prevention. It combines advanced AI technology and human expertise to analyze transactions and identify fraudulent patterns. ClearSale’s platform provides real-time risk assessment, order verification, and chargeback guarantees. It offers seamless integration with major e-commerce platforms and customizable rules to fit specific business needs. ClearSale helps businesses maximize revenue, reduce fraud losses, and provide a secure shopping experience for customers. 4.Sift Sift is a fraud detection and prevention platform that utilizes machine learning and digital trust technology to identify and block fraudulent activities. It analyzes various data points, including user behavior, device information, and transaction patterns, to detect and prevent fraud in real time. Sift offers customizable rules and workflows, seamless integration with e-commerce platforms, and provides actionable insights to help businesses reduce fraud risks and protect their online operations. 5.Kount Kount is a fraud detection and prevention platform that employs advanced AI and machine learning to identify and mitigate fraudulent activities in real time. It analyzes various data points, including device information, transaction history, and user behavior, to assess the risk associated with each transaction. Kount’s platform offers customizable rules, chargeback prevention, and seamless integration with e-commerce systems, helping businesses reduce fraud losses and provide a secure environment for their customers. 6.SAS Fraud Management SAS Fraud Management is a comprehensive fraud detection and prevention solution that uses advanced analytics and machine learning algorithms to identify and mitigate fraudulent activities in real time. It offers a range of features such as anomaly detection, network analysis, and predictive modeling. 7.ThreatMetrix ThreatMetrix is a digital identity solution that helps businesses detect and prevent online fraud. It leverages device identification, behavior analytics, and global shared intelligence to authenticate users and identify fraudulent activities in real time. 8.IBM Safer Payments IBM Safer Payments is a powerful fraud detection tool that uses AI and machine learning to analyze vast amounts of data and detect fraudulent transactions. It provides real-time monitoring and alerts, behavioral profiling, and adaptive machine-learning capabilities. 9.Splunk Enterprise security Splunk Enterprise Security is a security information and event management (SIEM) platform that includes fraud detection as part of its feature set. It helps organizations analyze and correlate data from various sources to detect and respond to fraud incidents effectively. 10.Guardian Analytics Guardian Analytics is a leading provider of behavioral analytics and machine learning solutions for fraud detection and anti-money laundering (AML) in the financial Industry. Their software analyzes customer behavior and transaction data in real-time to identify potential fraud and money laundering activities. Guardian Analytics offers features such as anomaly detection, risk scoring, and case management to help financial institutions detect, investigate, and prevent fraudulent activities while maintaining regulatory compliance and protecting their customers and assets. Disclaimer: Any financial and crypto market information given on Analytics Insight is written for informational purpose only and is not an investment advice. Conduct your own research by contacting financial experts before making any investment decisions. The decision to read hereinafter is purely a matter of choice and shall be construed as an express undertaking/guarantee in favour of Analytics Insight of being absolved from any/ all potential legal action, or enforceable claims.

Signifyd Frequently Asked Questions (FAQ)

  • When was Signifyd founded?

    Signifyd was founded in 2011.

  • Where is Signifyd's headquarters?

    Signifyd's headquarters is located at 2540 North First Street, San Jose.

  • What is Signifyd's latest funding round?

    Signifyd's latest funding round is Series E.

  • How much did Signifyd raise?

    Signifyd raised a total of $411.2M.

  • Who are the investors of Signifyd?

    Investors of Signifyd include Owl Rock Capital Partners, Neuberger Berman, CPP Investments, FIS, Menlo Ventures and 16 more.

  • Who are Signifyd's competitors?

    Competitors of Signifyd include BioCatch,, Bolt, ClearSale, Riskified, Forter, Sift, FUGU, Kount, Ravelin and 12 more.

Compare Signifyd to Competitors

Sift Logo

Sift Science provides real-time machine learning fraud prevention solutions for online businesses across the globe. Its machine learning software automatically learns and detects fraudulent behavioral patterns, alerting businesses before they or their customers are defrauded. Beyond this, the company has also launched a new set of products designed to detect and mitigate additional types of fraud and abuse, including: Account abuse, Content abuse, and Promo abuse.

Forter Logo

Forter provides a fraud prevention and protection solutions for e-commerce companies. It offers solutions such as fraud management, abuse prevention, identity protection, payment optimization, chargeback recovery, and more. It was founded in 2013 and is based in New York, New York.


NS8 is an eCommerce company that provides abuse, fraud, and user experience protection tools. The company uses behavioral analytics, real-time user scoring, and global monitoring to optimize and protect against threats, which give eCommerce merchants insight into their real customers.

Shield Logo

Shield is a software-as-a-service (SaaS)-based self-learning fraud prevention solution for e-commerce. It combines latest fraud detection technology with machine learning, predictive analytics, and big data that runs on an optimized risk algorithm to compute the decision for accepting or rejecting each transaction. It was formerly known as CashShield. It was founded in 2008 and is based in Singapore, Singapore.

SEON Technologies

SEON Technologies offers end-to-end fraud prevention and detection tools for businesses. Its artificial intelligence (AI)-powered system uses data enrichment and machine learning to reduce revenue loss and manual review time. The company was founded in 2017 and is based in London, United Kingdom.

Vesta Logo

Vesta offers a transaction guarantee platform for online purchases and electronic payment solutions. It is engaged in fraud protection and e-commerce payment solutions that assist online merchants, telcos, payment processors and acquirers optimize revenue by helping eliminate the fear of fraud through a variety of channels, including the internet, mobile phones, retail point of sale, and mobile commerce applications. Vesta was formerly known as Carrier Services. The company was founded in 1995 and is based in Lake Oswego, Oregon.

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