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Founded Year

2011

Stage

Secondary Market | Alive

Total Raised

$156.52M

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

-96 points in the past 30 days

About Sift

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.

Headquarters Location

525 Market Street Sixth Floor

San Francisco, California, 94105,

United States

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ESPs containing Sift

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

EXECUTION STRENGTH ➡MARKET STRENGTH ➡LEADERHIGHFLIEROUTPERFORMERCHALLENGER
Enterprise Tech / Cybersecurity

The device fingerprinting market, also referred to as device intelligence, offers customers a tool for identifying and authenticating devices accessing their systems or platforms. Device fingerprinting involves creating unique digital profiles based on various device attributes such as hardware, software, network configuration, and behavior patterns. This helps enhance security measures by detecti…

Sift named as Outperformer among 12 other companies, including Socure, Signifyd, and SEON Technologies.

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Research containing Sift

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

CB Insights Intelligence Analysts have mentioned Sift in 6 CB Insights research briefs, most recently on Mar 14, 2024.

Expert Collections containing Sift

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

Sift is included in 13 Expert Collections, including Unicorns- Billion Dollar Startups.

U

Unicorns- Billion Dollar Startups

1,249 items

R

Regtech

1,721 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.

D

Digital Lending

2,374 items

This collection contains companies that provide alternative means for obtaining a loan for personal or business use and companies that provide software to lenders for the application, underwriting, funding or loan collection process.

P

Payments

3,034 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.

F

Fintech 100

250 items

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

T

Tech IPO Pipeline

568 items

Sift Patents

Sift has filed 45 patents.

The 3 most popular patent topics include:

  • computer security
  • social networking services
  • machine learning
patents chart

Application Date

Grant Date

Title

Related Topics

Status

9/12/2023

7/23/2024

Kernel methods for machine learning, Machine learning, Artificial intelligence, Natural language processing, Classification algorithms

Grant

Application Date

9/12/2023

Grant Date

7/23/2024

Title

Related Topics

Kernel methods for machine learning, Machine learning, Artificial intelligence, Natural language processing, Classification algorithms

Status

Grant

Latest Sift News

Sift Now Integrates with Ping Identity’s PingOne DaVinci to Prevent Account Takeover and Streamline Logins

Oct 17, 2024

SIFT SAN FRANCISCO, Oct. 17, 2024 (GLOBE NEWSWIRE) -- Sift , the AI-powered fraud platform securing digital trust for leading global businesses, today announced a new integration with Ping Identity. The integration uses PingOne DaVinci™, a no-code identity orchestration service, and allows Ping Identity customers to leverage Sift’s AI-powered platform to prevent account takeover (ATO) attacks and streamline the consumer experience. Businesses have faced an onslaught of account takeover fraud in recent years, with blocked attack rates increasing 24% across the Sift Network in Q2 2024 compared to the same period in 2023. This jump is on top of the 354% increase seen in the previous year, aligning with the availability of generative AI tools. Account takeover has become a favored tactic by fraud actors in part because it allows cybercriminals to both immediately drain stored value from consumers’ online accounts and then use their stored payment details to commit payment fraud. Sift’s integration with Ping Identity allows businesses to protect against ATO attacks by leveraging Sift’s Global Data Network, which processes over 1 trillion risk and identity signals per year. Sift provides customers with a trio of machine learning models that identify fraudulent behavior before attacks hit, so businesses can thwart attacks in real-time, while accurately and dynamically applying friction only when necessary. “As account takeover attacks grow in scale and complexity, it is crucial to align fraud and Consumer Identity Access & Management (CIAM) workflows to fully protect the entire user journey,” said Raviv Levi, Chief Product Officer at Sift. “Through our integration with DaVinci, businesses can create a more secure and seamless consumer experience and effectively mitigate the risk of fraud at every touchpoint.” Sift joins a growing network of technology partners developing integrations with DaVinci through the Ping Identity Global Technology Partner Program . Partner solutions that integrate with DaVinci deliver an improved customer experience in a fraction of the time, through easy drag-and-drop design of digital user journeys across multiple applications and ecosystems. “Ping Identity is committed to expanding our technology partner ecosystem to deliver better, more frictionless customer experiences,” said Loren Russon, the SVP of product management at Ping Identity. "Our collaboration with Sift leverages DaVinci's seamless orchestration to ensure dynamic user journeys are delivered quickly and efficiently at every stage of the user journey." For more information on Sift’s work with Ping Identity, go here . About Sift Sift is the AI-powered fraud platform securing digital trust for leading global businesses. Our deep investments in machine learning and user identity, a data network scoring 1 trillion events per year, and a commitment to long-term customer success empower more than 700 customers to grow fearlessly. Brands including DoorDash, Yelp, and Poshmark rely on Sift to unlock growth and deliver seamless consumer experiences. Visit us at sift.com and follow us on LinkedIn . About Ping Identity Ping delivers unforgettable user experiences and uncompromising security. We make crafting digital experiences simple for any type of user—partners, customers, employees, and beyond. We are anti-lock-in. That means integration with existing ecosystems, clouds, and on-prem technologies is simple. Out-of-the-box templates let businesses leverage our identity expertise to give their users frictionless experiences. Whether they’re building a foundation of modern digital identity, or out-innovating their competitors with cutting-edge services like digital credentials, AI-driven fraud prevention and governance, Ping is the one-stop shop for game-changing digital identity. Media Contact

Sift Frequently Asked Questions (FAQ)

  • When was Sift founded?

    Sift was founded in 2011.

  • Where is Sift's headquarters?

    Sift's headquarters is located at 525 Market Street, San Francisco.

  • What is Sift's latest funding round?

    Sift's latest funding round is Secondary Market.

  • How much did Sift raise?

    Sift raised a total of $156.52M.

  • Who are the investors of Sift?

    Investors of Sift include Fabrica Ventures, Union Square Ventures, Insight Partners, Stripes Group, Spark Capital and 18 more.

  • Who are Sift's competitors?

    Competitors of Sift include Effectiv, ClearSale, Venminder, BioCatch, Incognia and 7 more.

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Compare Sift to Competitors

Signifyd Logo
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. Its services primarily cater to the e-commerce industry. Signifyd was founded in 2011 and is based in San Jose, California.

Forter Logo
Forter

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 Logo
Ravelin

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.

BioCatch Logo
BioCatch

BioCatch specializes in behavioral biometrics for fraud prevention and digital identity verification within the financial services sector. The company offers solutions that analyze online user behavior to detect and prevent fraud, money laundering, and various cyber threats. It was founded in 2011 and is based in Tel Aviv, Israel.

Feedzai Logo
Feedzai

Feedzai focuses on financial crime prevention and operates within the financial technology and artificial intelligence (AI) sectors. The company offers a suite of solutions that use advanced machine learning to detect and prevent financial fraud, manage financial risk, and ensure compliance with regulatory requirements. Its primary customers are large financial organizations, including retail and corporate banks, fintech companies, and payment service providers. It was founded in 2011 and is based in Coimbra, Portugal.

F
FUGU

FUGU specializes in payment fraud prevention and operates within the financial technology sector. The company offers a suite of services that analyze transactions throughout the entire lifecycle, from pre-checkout to post-purchase, to identify and prevent various types of fraud, automate Know Your Customer (KYC) verifications, and manage chargebacks. FUGU's solutions are designed to reduce false declines, minimize operational costs, and provide a chargeback guarantee to online sellers and payment service providers. It was founded in 2017 and is based in Tel Aviv, Israel.

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