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Founded Year



Series E | Alive

Total Raised




Last Raised

$205M | 2 yrs ago



Mosaic Score
The Mosaic Score is an algorithm that measures the overall financial health and market potential of private companies.

+20 points in the past 30 days

About Signifyd

Signifyd operates as an online commerce protection platform. It 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. The company was founded in 2011 and is based in San Jose, California.

Headquarters Location

99 Almaden Boulevard 4th floor

San Jose, California, 95113,

United States


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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 Featurespace, Alloy, and Mimiro.

Signifyd's Products & Differentiators

    Guaranteed Fraud Protection

    Guaranteed Fraud Protection pairs order automation with a financial guarantee against fraud chargebacks on all approved orders. This shifts liability away from the merchant, allowing them to optimize for revenue attainment and pay $0 in fraud losses on approved orders – guaranteed.

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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 12 Expert Collections, including E-Commerce.



10,671 items

Companies that sell goods online (B2C), or enable the selling of goods online via tech solutions (B2B).


Unicorns- Billion Dollar Startups

1,221 items



1,563 items

Technology that addresses regulatory challenges and facilitates the delivery of compliance requirements. Regulatory technology helps companies and regulators address challenges ranging from compliance (e.g. AML/KYC) automation and improved risk management.


Fintech 250

997 items

250 of the most promising private companies applying a mix of software and technology to transform the financial services industry.



2,779 items

Companies in this collection provide technology that enables consumers and businesses to pay, collect, automate, and settle transfers of currency, both online and at the physical point-of-sale.


Tech IPO Pipeline

568 items

Latest Signifyd News

Sift, LexisNexis Top Digital Fraud Management Forrester Wave

Sep 18, 2023

September 12, 2023 Compliance October 11, 2023 Compliance October 11, 2023 Newcomer, Established Vendor Lead Efforts to Stop Fraudulent Payment Transactions Michael Novinson ( MichaelNovinson ) • September 18, 2023 Get Permission Established provider LexisNexis Risk Solutions remains atop Forrester's digital fraud management rankings, while upstart Sift broke into the leaders category for the first time. Many providers in the space have expanded from payment transactions to account takeover fraud as well as handling scams, policy abuse and items-not-received fraud, said Forrester Vice President and Principal Analyst Andras Cser. Understanding what's happening and making accurate decisions is harder than ever as friendly scams and similar scams involve customers who've been behaving well up until then. "They don't want to spend time on individual stolen card numbers and make payments with those individually stolen card numbers," Cser told Information Security Media Group. "But instead, they want to log into somebody's account like another retailer and buy multiple items in one shot. For them, it's: 'How can you steal as much money in the shortest period of time?'" Cser said, the digital fraud management Forrester Wave replaced the risk-based authentication Forrester Wave, which was last released in spring 2020. LexisNexis once again earned the highest rating for strategy. TransUnion and Signifyd received the second and third-highest scores, and Kount and Sift tied for fourth. In 2020, LexisNexis, IBM and TransUnion received the three highest scores, respectively. "For them, it's: 'How can you steal as much money in the shortest period of time?'" – Andras Cser, vice president and principal analyst, Forrester LexisNexis also received the highest score from Forrester for its current digital fraud management tool, and Sift, Accertify and Kount got the second-, third- and fourth-highest rankings, respectively. In 2020, IBM and Kount tied for the highest ranking among risk-based authentication offerings, and LexisNexis edged out Appgate for the third-highest score (see: Strategies to Fight New Fraud and Money Laundering Schemes ). Opportunity Around Generative AI, Cryptocurrency Cser said generative AI hasn't has much effect on the digital fraud management landscape so far, but in the long run, he anticipates AI technology will allow data scientists and other less-technical personnel to formulate natural language queries. Combining reporting, auditing and chatbots with other types of generative AI could improve rules-based risk queries, according to Cser. Going forward, he expects providers to double down on tracking and understanding how cryptocurrency payments are linked to both fraud and money laundering, which can be a problem for banks, insurance companies and online marketplaces. Fraud management requires vertical-specific expertise, so customers should consider how much experience providers have in baking, insurance or e-commerce. "It's not enough just to have nice and shiny generative AI algorithms," Cser said. "You really need to have domain-level experts and history." Outside of the top two, here's how Forrester sees the digital fraud management market: Strong Performers: Kount, TransUnion, Signifyd, Accertify, Forter, Outseer Challenger: Riskified, Experian, Cybersource, Human, Radial, Appgate, Callsign How the Digital Fraud Management Leaders Climbed Their Way to the Top Company Name LexisNexis Risk Solutions Boosts Platform With ML, M&A LexisNexis Risk Solutions has enhanced its machine learning configurations and dynamic decision platform to strengthen its rules management and configurability, said Kimberly Sutherland, vice president of fraud and identity. The company offers both rules-based and analytics decision models to give customers flexibility, and they can combine digital risk and physical risk intelligence for a more holistic view, Sutherland said. Acquisitions of BehavioSec and Emailage have helped the company enhance its authentication risk signals by strengthening risk intelligence around everything from email addresses and behavioral biometrics to digital transactions and e-commerce. Offering the capabilities on a single platform and using a single API model enables companies to quickly incorporate the tools into workflows and policies (see: LexisNexis, Experian, IBM, F5 Top Fraud Reduction Tech ). "One thing that we are very proud of is that we've tried to address new account openings, logins and payment transactions for that full customer journey," Sutherland told ISMG. "We also have a very large and diverse customer base, so we learn a lot from different industries." Forrester criticized LexisNexis for lacking chargeback management, lagging others in ROI and general reporting, and having insufficient configurability with AI/ML-based risk scoring. Sutherland said LexisNexis partners for chargeback management, will enhance its reporting and business intelligence tools and is looking for new ways to support midsized customers with limited resources. "We have extremely good value for the types of fraud that we help prevent," Sutherland said. "That's a calculation which we actually determine at the customer level." Sift Takes on Workflow Management, Account Takeover Sift introduced starter workflows to help fraud and security analysts in large enterprises manage new workflows with additional user management capabilities, CEO Kris Nagel told ISMG. The company can now route transactions automatically and prioritize transaction types based on the size of the vector, allowing fraud analysts to work through handling transactions in an automated and simplified way. Defending against account takeover attacks has been a high-growth area for Sift as ChatGPT and other generative AI platforms contribute to a 427% year-over-year increase in account takeover activity, Nagel said. Sift is the first vendor to apply machine learning at scale to address fraud, which Nagel said has become increasingly democratized as the tools needed to do this become more and more accessible (see: Sift Snags Former Ping Identity COO Kris Nagel as New Leader ). "We are a fraction of LexisNexis' size, but we are running a huge volume of transactions to the platform," Nagel said. "I believe our long-term differentiator is the data set, our global network and our machine learning capability." Forrester criticized Sift for lagging competitors in scale and technical employee staffing as well as providing insufficient insight into risk-scoring methods. Nagel said Sift is quite proud of the level of innovation the company offers regardless of employee count and is actively working on providing more insight into risk-scoring methods, so that customers can see in the console how transactions are scored. "Our focus on what we do best is reflected in the kind of the innovation that's coming out of Sift today," Nagel said.

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 99 Almaden Boulevard, 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 FIS, Neuberger Berman, Owl Rock Capital Partners, CPP Investments, Menlo Ventures and 16 more.

  • Who are Signifyd's competitors?

    Competitors of Signifyd include BioCatch,,, Bolt, ClearSale, Riskified, Forter, Sift, FUGU, Kount and 13 more.

  • What products does Signifyd offer?

    Signifyd's products include Guaranteed Fraud Protection and 4 more.

  • Who are Signifyd's customers?

    Customers of Signifyd include Walmart, Mango, UrbanStems and Samsung.

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  • See competitors' playbooks
  • Stalk the smart money
  • Identify tomorrow's challengers
  • Spot growing industries
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Compare Signifyd to Competitors

Sift Logo

Sift 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 and alerts businesses before they or their customers are defrauded. It provides its services in a wide range of industries such as financial technology, retail, payment service providers, and more. It was formerly known as Sift Science. The company was founded in 2011 and is based in San Francisco, California.

Forter Logo

Forter provides 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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