Signifyd
Founded Year
2011Stage
Series E | AliveTotal Raised
$411.2MValuation
$0000Last Raised
$205M | 3 yrs agoRevenue
$0000Mosaic Score The Mosaic Score is an algorithm that measures the overall financial health and market potential of private companies.
-56 points in the past 30 days
About Signifyd
Signifyd provides e-commerce fraud protection and prevention services. The company offers services, including revenue protection, abuse prevention, and payment compliance, all aimed at maximizing conversion and eliminating fraud and consumer abuse. These services primarily cater to the e-commerce industry. Signifyd was founded in 2011 and is based in San Jose, California.
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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.
The payments fraud detection & prevention market offers a range of technologies helping businesses detect and block anomalous payment activity. Vendors in this market cater to many different industries, from financial services to e-commerce. These solutions cover a range of different types of financial fraud like chargebacks, ACH, wire, and credit card fraud.
Signifyd named as Outperformer among 15 other companies, including Mastercard, Oracle, and Fiserv.
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 9 CB Insights research briefs, most recently on Mar 18, 2024.
Mar 14, 2024
The retail banking fraud & compliance market map
Dec 14, 2023
Cross-border payments market map
Feb 27, 2023 report
Top fraud prevention companies — and why customers chose them
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.
E-Commerce
11,250 items
Companies that sell goods online (B2C), or enable the selling of goods online via tech solutions (B2B).
Unicorns- Billion Dollar Startups
1,244 items
Regtech
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 100
997 items
250 of the most promising private companies applying a mix of software and technology to transform the financial services industry.
Payments
3,033 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
Sep 19, 2024
Cybercriminals are having success launching attacks on retail websites with AI-based bots. According to the "Global 2024 Global Bot Security Report" from cyberfraud protection platform DataDome, 95% of advanced bot attacks go undetected on websites and more than 65% of websites are unprotected against simple bot attacks. The study, based on DataDome Advanced Threat Research large-scale analysis of more than 14,000 websites, found that the luxury and e-commerce sectors are at the highest risk for online fraud. DataDome analysis indicates that only 5% of luxury brand websites and 10% of e-commerce websites are fully protected against bad bots as the holiday shopping season approaches. In addition, advanced bots, designed to bypass traditional CAPTCHAs (cybersecurity measures using human response, such as identifying number, letters or pictures) by leveraging AI-powered "bot farms” to solve them in real-time, were found to only be detected by site protection less than 5% of the time. Even among tested domains using some form of specialized bot protection, bots were still able to completely penetrate 45% of sites. Fake Chrome bots remain the most difficult type of simple bot to detect, according to DataDome. Looking at geographic cyberfraud trends, DataDome found that regionally, Europe is the least protected against simple bot attacks, with 68% of websites unprotected and only 8% fully protected. North America follows closely behind, with 64% of websites unprotected and only 9% fully protected. Advertisement - article continues below Advertisement "Consumer-centric industries are highly vulnerable to malicious bot activity and face increased risks of financial loss, data breaches, and reputational damage," said Antoine Vastel, VP of research, DataDome. "As our research reveals, the low barriers for creating and deploying bad bots have made them a favored tool for fraudsters seeking to exploit high-traffic websites. Needless to say, the need for robust, multi-layered bot protection has never been more urgent." Signifyd: Generative AI is an issue According to the recent Signifiyd "State of Fraud and Abuse 2024" study, the increasing involvement of global crime rings and use of generative AI are resulting in an "industrialization" of online fraud. Attempts at placing fraudulent orders increased 19% in the first half of 2024 compared to the previous year, according to Signifyd data. The Signifyd study also showed that AI-based bot-driven fraud attacks against retailers increased every month year-over-year between August 2022 and April 2024, peaking with a 137% spike in January 2024.
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 Bolt, BioCatch, Fraud.net, Vesta, FUGU and 7 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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Compare Signifyd to Competitors
Sift provides real-time machine learning fraud prevention solutions for online businesses. 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. It was founded in 2011 and is based in San Francisco, California.
Forter focuses on fraud prevention and protection in the digital commerce industry. The company offers services such as fraud management, payment optimization, chargeback recovery, identity protection, and abuse prevention, all aimed at increasing revenue, reducing losses, and enhancing the customer experience. It primarily serves the digital commerce industry. It was founded in 2013 and is based in New York, New York.
Ravelin specializes in fraud prevention and payment security within the online business sector. The company offers a suite of solutions that utilize machine learning and human insights aiming to protect against online payment fraud, account takeovers, policy abuse, marketplace fraud, and optimization of three-dimensional secure transactions. Ravelin primarily serves online merchants looking to secure their transactions and enhance customer journey. It was founded in 2014 and is based in London, United Kingdom.
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 is a device-first risk AI platform specializing in fraud prevention and risk intelligence within the digital business sector. The company offers solutions to identify and eliminate fraudulent activities through global standard device identification and actionable risk intelligence. Shield primarily serves industries such as ride-hailing, social media, e-commerce, digital banking, and gaming. Shield was formerly known as CashShield. It was founded in 2008 and is based in Singapore, Singapore.
FUGU provides tracking of payments post-checkout. It enables online sellers to accept transactions they lose to fraud, false declines, and payment churn. It monitors and analyzes risk signals over time and covers a variety of fraud patterns including stolen identities, account takeovers, and friendly fraud, securing recurring payments and new delayed payment models such as Buy Now Pay Later (BNPL). It also facilitates risk scoring, chargeback guarantee, and payment collection facilities. It was founded in 2017 and is based in Tel Aviv, Israel.
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