Fraud creates operational pain and cuts directly into revenue.
It shows up in lost transactions, rising chargebacks, more manual work, and more friction for legitimate customers. In 2025, U.S. companies lost an average of 3.3% of annual revenue to fraud, and 84% of those losses affected revenue directly or indirectly. That’s budget that could have gone to growth, customer acquisition, or product investment instead.
For fraud, risk, and payments leaders, the issue isn’t whether fraud is hurting the business. It’s how to stop it quickly without making the customer experience worse.
That’s where the old way of thinking starts to break down.
Fraud prevention should protect revenue, not slow it down
For years, fraud prevention has been framed as a tradeoff. Accept more risk to preserve growth. Tighten controls and accept more customer friction. Hire more analysts if attack volume rises.
That framing is outdated.
Fraud affects much more than fraud loss. It raises operational costs, increases manual review volume, drives false positives, and turns away legitimate customers. When businesses block legitimate users or add unnecessary friction, they lose revenue just like they do when fraudsters get through.
Sift challenges that dated model. The goal is not to choose between security and growth, but to protect both.
That’s why Sift customers have been able to pair a 99.4% acceptance rate with outcomes like 80% fewer chargebacks, 37% fewer false positives, and 70% fewer manual reviews.
What “get the fraud out” actually means
“Get the fraud out” is a simple idea: catch risk early, act quickly, and avoid creating unnecessary friction for the legitimate people using your platform.
In practice, that means spotting risky behavior before it turns into a fake account, an account takeover, a fraudulent order, or a chargeback. It also means making those decisions fast enough to matter. Sift supports that with accurate, automated decisions in under 150 milliseconds and continuous risk scoring across the full customer journey.
That speed matters. Fraud moves fast, and small warning signs can escalate quickly. When your fraud stack can respond before that chain unfolds, you are in a much better position to protect revenue without slowing down legitimate activity.
1. Stop fraud in real time across the entire user journey
Fraud does not happen in one moment. It moves across the funnel.
A fraudster might create a fake account, test stolen credentials, attempt account takeover, and then move into payment fraud or payout abuse. If your tools only protect one stage of that journey, you leave the rest exposed.
Sift is designed to score risk continuously across signup, login, transaction, and post-transaction events. That means businesses can detect suspicious behavior early and respond before it turns into a costly downstream issue.
For transaction-level risk, Sift helps teams stop payment fraud using real-time machine learning. For identity and access threats, Sift helps detect account takeover, suspicious login behavior, and credential-based attacks. Together, they give teams end-to-end protection rather than point solutions. In 2025 alone, Sift denied entry to 37.5 million attacks and absorbed a 122% surge in account takeover attempts.
2. Give fraud teams control without slowing down the business
Fraud teams need more than alerts. They need room to adjust as attack patterns change.
Sift gives analysts direct control over thresholds, workflows, and decision logic, so they can respond quickly without waiting on engineering support or working around rigid rules. That flexibility makes it easier to manage fraud with more precision. Teams can tighten controls where risk is rising, ease friction where trust is higher, and make smarter calls about fraud rate, approval rate, and manual review volume.
That balance is a big part of why Sift customers can protect revenue without overcorrecting.
ChowNow is a strong example. After implementing Sift, the business saw a 99% reduction in chargeback rate. That is what it looks like when fraud prevention supports the business instead of forcing it to choose between growth and control.
3. Use network intelligence to spot threats your business has never seen before
One of the hardest parts of fraud prevention is dealing with the unknown.
A user may be new to your site, but that does not mean they are new to fraud. Sift’s network advantage helps close that gap. The platform draws on 1 trillion+ events per year, 16,000+ risk signals, and intelligence connected to 1.9 billion digital identities.
That scale changes what is possible. It means Sift can recognize patterns and linked behavior that would be invisible inside a single merchant’s environment. It also means businesses operating across regions and markets can benefit from broader intelligence without rebuilding their fraud strategy country by country.
This is especially important as fraud schemes become more coordinated and more global. Businesses need more than static rules and isolated models. They need a system that learns from a much larger view of the Fraud Economy.
That is one reason Patreon saw a 19x ROI with Sift. By combining network intelligence with real-time decisioning, the platform was able to reduce fraud while strengthening trust across its marketplace.
4. Reduce manual work so analysts can focus where they matter most
Manual review is expensive. It is also one of the clearest signs that a fraud program is carrying too much friction.
When analysts spend their time sorting through preventable noise, they have less capacity to investigate real edge cases, tune policies, and partner with the business on strategy. Sift helps change that by automating more of the decisions that do not require human intervention.
That is how customers have achieved 70% fewer manual reviews on average.
For Tutory, the impact was especially clear: the company reduced manual review by 83% after adopting Sift. That kind of efficiency does more than cut operational cost. It gives fraud teams room to focus on the cases that actually need expertise.
5. Pair technology with fraud expertise
Effective fraud prevention depends on better models and better judgment.
Sift combines platform intelligence with access to fraud experts and Trust & Safety Architects who help customers refine workflows, respond to emerging threats, and align fraud operations with broader business goals.
That support matters because fraud is dynamic. What worked last quarter may not work this quarter. Businesses need a partner that can help them translate changing attack patterns into action.
Across customers, that combination of technology and expertise has helped drive a 47% reduction in financial losses and 7x-10x ROI.
Fraud does not have to be the cost of doing business
Fraud teams should not have to accept a false choice between stronger protection and better customer experience. With Sift, businesses can stop fraud before it hits revenue, automate decisions in under 150 milliseconds, and protect the full customer journey with intelligence that extends far beyond their own data.
That’s what it means to get the fraud out.
Ready to see how Sift can help your business stop fraud without slowing growth? Request a demo.
