The Sift global data network processes more than one trillion events per year, providing customers with unparalleled accuracy in preventing fraud.
Fraud is becoming more sophisticated by the second. As fraud fighters and online commerce experts, it’s our mission at Sift to build the best defenses possible to protect businesses and consumers from emerging and ever-expanding threats. To beat fraudsters at their own game, we’re investing deeply in our data network and AI-powered platform to detect and block fraud before it happens. Sift processes more than one trillion (1T) events per year, making our global data network stronger than ever.
Sift’s dedication to providing best-in-class fraud prevention doesn’t stop there. Over the past decade, Sift has acquired a total of 43 patents. And our innovation trajectory is just beginning. We’ve set an industry-leading product roadmap, focused on extending our capabilities to help businesses prevent evolving fraud and open up opportunities for growth.
What is the Sift Global Data Network?
Sift prevents fraud and abuse by adapting in real time based on our unrivaled network of data. This global data network, which appears across our platform as Network Intelligence, represents shared signals from Sift customers across industries, regions, and fraud vectors that feed into our machine learning models. Across 34k+ sites and apps worldwide, Sift ingests more than one trillion events per year, which are categorized into 16k different signals of potentially fraudulent activity. This means our network is able to detect new attack patterns immediately, providing customers across the Sift network with near-instant protection. When fraudsters launch an attack on one Sift customer, that data is automatically fed into our machine learning models and blocked from impacting other customers in the network.
Having pioneered the machine learning approach in the fraud prevention market, Sift has been receiving this data for more than a decade, resulting in the highest possible accuracy of our models. Instead of relying on a single machine learning model, we use an ensemble of several predictive models. Some models are trained with a general understanding of fraud patterns across our network of customers, and others are tuned to each company’s data specifically. This suite of models allows Sift to accurately analyze risk and provide the most effective fraud prevention solution on the market.
How is Sift putting the network to work with AI?
Fraud now moves at AI speed, and the value of a data network is in how quickly teams can act on it. Global Profile builds on our network by resolving identity links across Sift customers in near real time. It surfaces that context in a Console widget and lets teams use it as criteria in Workflows and Explore routing, so analysts can see when an identity has appeared elsewhere in the network and automate decisions accordingly. To see how these capabilities fit together, read about Sift’s new AI tools for fraud teams and what our latest product release changes for your team.
Why are global data networks important for fraud prevention?
Operating in the global, interconnected Fraud Economy, fraudsters constantly look for security weaknesses to exploit. This is why having a data network is so important. When one business is targeted, those fraud signals are automatically shared across the network to prevent other companies from falling victim. For companies that don’t have access to machine learning or global fraud data, working with an online fraud detection (OFD) vendor with a global data network can be a game changer. The more organizations that band together in the fight against fraud, the more effective each of their prevention tactics will be. There’s no denying that safe and secure platforms make for the most successful businesses.
Sift’s own research shows why this matters. In the Q2 2026 Digital Trust Index, users associated with fraudulent chargebacks across the Sift Global Data Network had 15.8x higher Mean Global Linkage than users without chargebacks, meaning their activity was far more likely to be tied to a broader network pattern than to stand alone. The report also traced a loyalty program fraud ring that spanned more than 90 businesses across multiple industries and generated nearly 13,000 attempted transactions. Each business saw only a piece of the activity, while the full pattern was only visible across the entire network. As Kevin Lee, Sift’s Field CTO, put it, network intelligence helps teams detect fraud faster because it “expands what they’re able to see in the first place.”
How does Sift’s Global Data Network help businesses?
Based on insights from our Global Data Network, we know fraudsters rarely target only one business or industry. Our Fraud Schemes visualizations show just how connected fraud is across industries. By illustrating the number of shared fraud signals between verticals, we can see how fraudsters infiltrate different industries using the same tactics, or take stolen credentials from one site to attack another.
Sift’s Fraud Industry Benchmarking Resource (FIBR) helps take the guesswork out of fraud benchmarking, equipping fraud and risk teams with the critical fraud insights they need to build a successful risk management strategy. Powered by Sift’s extensive Global Data Network, FIBR allows you to compare your own data against industry benchmarks across verticals and regions.
Sift’s growing data network and product innovations provide online businesses with a complete platform to protect against fraud across the entire lifecycle. Because of this robust infrastructure, Sift is designed to withstand high-velocity events without causing undue friction to a business’ legitimate users. We support our customers throughout their peak volume seasons, including retailers on Black Friday and iGaming/gambling companies during major sporting events.
It’s through these make-or-break events, market expansions, and brand transformations that we’ve built trusted partnerships with our customers. We partner with brands across every industry and region to quickly block fraud, streamline operations, and smoothly expand into uncharted territory. Our technology drives accurate results that surpass industry standards, so businesses can focus on enabling growth instead of mitigating losses.
Check out FIBR for the latest fraud data and insights, or see Sift in action.
