--- title: Sift Reviews meta\_title: 'Sift Reviews 2026: Details, Pricing, & Features | G2' meta\_description: Filter 615 reviews by the users' company size, role or industry to find out how Sift works for a business like yours. aggregate\_rating: rating\_value: 4.6 review\_count: 615 scale: '5' date\_modified: '2026-08-09' parent\_category: name: Web Security url: https://www.g2.com/categories/web-security ---

# Sift Reviews & Product Details

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Sift is the leading fraud prevention platform delivering digital trust to 700+ global brands, allowing them to grow confidently by stopping fraud while enabling excellence in customer experience. Backed by a global data network of over one trillion annual events, Sift helps companies convert risk into revenue and scale without compromise. Brands including Hertz, Yelp, and Poshmark rely on Sift to unlock growth and deliver seamless consumer experiences. Visit us at sift.com

* * *

Product Website
Sift
Seller
[Sift's Fraud Prevention Platform](https://www.g2.com/sellers/sift-s-fraud-prevention-platform)
Discussions
[Sift Community](https://www.g2.com/products/sift-s-ai-powered-fraud-decisioning-platform-sift/discuss)
Languages Supported

English, Spanish

Solution Type

All-in-One

Overview by
Jaagriti Sharma

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## Value at a Glance

Averages based on real user reviews.

### Time to Implement

2 months

[
View More Pricing Information
](https://www.g2.com/products/sift-s-ai-powered-fraud-decisioning-platform-sift/pricing)

## Sift Integrations
(10)

What do users say about integrations?

Verified by Sift

[

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Chainalysis KYT

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 ![Product Avatar Image](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Product Avatar Image")

Google Workspace

](https://www.g2.com/products/google-workspace/reviews)[

 ![Product Avatar Image](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Product Avatar Image")

Gr4vy

](https://www.g2.com/products/gr4vy-gr4vy/reviews)[

 ![Product Avatar Image](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Product Avatar Image")

HubSpot Sales Hub

](https://www.g2.com/products/hubspot-sales-hub/reviews)[

 ![Product Avatar Image](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Product Avatar Image")

Jarvis Analytics

](https://www.g2.com/products/jarvis-analytics/reviews)[

 ![Product Avatar Image](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Product Avatar Image")

LexisNexis Emailage

](https://www.g2.com/products/lexisnexis-emailage/reviews)[

 ![Product Avatar Image](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Product Avatar Image")

Metabase

](https://www.g2.com/products/metabase/reviews)[

 ![Product Avatar Image](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Product Avatar Image")

PayPal BrainTree

](https://www.g2.com/products/paypal-braintree/reviews)[

 ![Product Avatar Image](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Product Avatar Image")

Remitly

](https://www.g2.com/products/remitly/reviews)[

 ![Product Avatar Image](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Product Avatar Image")

Zendesk for Customer Service

](https://www.g2.com/products/zendesk-for-customer-service/reviews)

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 ![Jonattan P.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Jonattan P.")
JP

Jonattan P.

Fraud Prevention Lead

Mid-Market (51-1000 emp.)

8/29/2023

"My experience using Sift."

5/5

What do you like best about Sift?

How modular the workflows can be, the combination of factors to determine the score, and thus, achieve a higher level of confidence in identifying fraudulent users, ultimately helping to mitigate the issue of false positives. Review collected by and hosted on G2.com.

What do you dislike about Sift?

The ability to add specific rules per merchant is crucial. The requirements for the food industry are not the same as those for retail. Creating rules for different industries can be somewhat confusing for new users or those accustomed to different models. Not being able to have workflows per merchant is a limitation. Review collected by and hosted on G2.com.

What problems is Sift solving and how is that benefiting you?

We're discovering patterns across our various merchants while using it and successfully mitigating false positives. The scores it provides based on the model's training assist us in countering chargebacks. Review collected by and hosted on G2.com.

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4/28/2026
Current UserValidated ReviewerIncentivizedSource: Seller invite

 ![Vladimir H.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Vladimir H.")
VH

Vladimir H.

Mid-Market (51-1000 emp.)

4/24/2026

"Intuitive, Fast Interface, but with Readability Challenges"

3.5/5

What do you like best about Sift?

I like the Sift interface because it is easy to navigate and very fast despite storing a lot of information. This is important for us, as we handle alerts from other systems and I have never noticed any delay. It connects all the information very quickly, which is crucial for reviewing where they connect and what they are doing on the platform. I also think it's great that the system can handle multiple instances without delays. Review collected by and hosted on G2.com.

What do you dislike about Sift?

I believe that the readability of the data is somewhat important, we use it mainly for logins, so there are times when it does detect as if it were a new device, but it's not a new device, rather the SDK disconnects for a while and that's why it registers it as if it were another device which is the same. Maybe something a bit easier to understand in that regard. On our side, I think they could improve their integration with the APIs so that we can connect more things, because without a doubt it could connect with some things. Although there is so much information it receives that I think it's a bit difficult. Review collected by and hosted on G2.com.

What problems is Sift solving and how is that benefiting you?

We use Sift to evaluate logins. It connects all the information quickly, without delays, which is crucial. It helps us review alerts and device connections. The interface is easy to navigate. Review collected by and hosted on G2.com.

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Validated ReviewerIncentivizedSource: G2 invite on behalf of sellerAI Translated

 ![Kriezl Angeleen Q.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Kriezl Angeleen Q.")
KQ

Kriezl Angeleen Q.

Risk Investigator

Financial Services

Enterprise (\> 1000 emp.)

5/21/2024

"Sift : Helpful tool to mitigate Fraud"

5/5

What do you like best about Sift?

What I like best about Sift is how effectively it empowers me in my role as a Risk Investigator. The platform's machine learning models and real-time decisioning allow me to detect and act on suspicious activity quickly and with confidence. I also appreciate how intuitive and customizable the tools are—it helps streamline my investigations and focus on high-risk cases without getting buried in false positives. Sift’s commitment to innovation and collaboration makes it easier for me to stay ahead of evolving fraud tactics Review collected by and hosted on G2.com.

What do you dislike about Sift?

One area I think Sift could improve is in the granularity of data visibility and customization. While the platform is powerful, there are times when I need deeper insights into model reasoning or more tailored workflows to align perfectly with our internal processes. It would also be helpful to have more flexibility in creating investigation rules or alerts directly within the system. That said, Sift is always evolving, and I appreciate that feedback is often taken seriously and acted on. Review collected by and hosted on G2.com.

What problems is Sift solving and how is that benefiting you?

It is where I can detect the scammers and possible Identity theft Sift is solving the complex problem of online fraud and abuse, which is constantly evolving and becoming more sophisticated. By leveraging machine learning and real-time decisioning, Sift helps identify risky behavior early—before it causes financial or reputational damage. For me as a Risk Investigator, this means I can work more efficiently and accurately. Instead of manually sorting through large volumes of transactions or user behaviors, I can focus on high-impact cases, investigate patterns faster, and make informed decisions with confidence. It ultimately helps protect both our users and our business. it provide the details and location of the person in review Review collected by and hosted on G2.com.

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2/4/2026
Current UserValidated ReviewerIncentivizedSource: Seller invite

 ![Miguel Alexander R.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Miguel Alexander R.")
MR

Miguel Alexander R.

RISK ANALYST

Mid-Market (51-1000 emp.)

10/28/2025

"Highly Customizable and User-Friendly, But Data Export Needs Improvement"

5/5

What do you like best about Sift?

What I like most about Sift is that it does not impose any limitations on its use, providing great freedom to configure and adjust the systems according to our needs. Additionally, it offers a wide variety of parameters and options that allow for creating and customizing numerous detection rules with great precision. Its graphical interface is highly intuitive and easy to navigate, making the user experience very friendly and efficient. Furthermore, the platform features extensive, detailed, and well-structured documentation, which greatly facilitates understanding its functionalities and fully leveraging all its capabilities. Review collected by and hosted on G2.com.

What do you dislike about Sift?

What I don’t like about Sift is that sometimes some records are lost when downloading data. Additionally, when downloading different files, some contain more information than others, which requires manually merging them—a process that is very tedious and time-consuming. Review collected by and hosted on G2.com.

What problems is Sift solving and how is that benefiting you?

Sift helps minimize the impact of fraud in e-commerce by allowing precise parameters to improve the approval of legitimate transactions. Additionally, it facilitates the detection and blocking of fraudulent users, protecting the business and improving conversion rates by reducing losses due to fraud. Review collected by and hosted on G2.com.

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2/3/2026
Current UserValidated ReviewerIncentivizedSource: G2 invite on behalf of seller

 ![Nicole E.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Nicole E.")
NE

Nicole E.

Risk investigator

Financial Services

Enterprise (\> 1000 emp.)

1/30/2025

"How Sift is helping risk investigators in mitigating possible fraud and unwanted activity"

5/5

What do you like best about Sift?

It is easy to use, you can even have your investigation much effectively as you can justify your decisions according to the details we see in the Sift scores of the customers. How many users are using the device of the customer, order history, and location of the customer. We can check the IP location of the customers, if it matches their address. We can check as well if the customer is linked to other customers of Remitly in other factors or attributes. Sometimes we can see also if there are other customers who are sending under the same IP address and it became a red flag that we have to mitigate. We can cross check also how may times customers are submitting transactions and based it also on their ages. Review collected by and hosted on G2.com.

What do you dislike about Sift?

I think if there are some linkage but it is inaccurate when we check. Review collected by and hosted on G2.com.

What problems is Sift solving and how is that benefiting you?

Fraud detection and mitigating stolen identity or payment profile. We can see also if the customer is linked to other transactions that have a record of scam. We could see as well if there are multiple accounts being created under the same IP or device. Review collected by and hosted on G2.com.

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2/1/2026
Current UserValidated ReviewerIncentivizedSource: G2 invite on behalf of seller

 ![Mohamed D.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Mohamed D.")
MD

Mohamed D.

Payment Analyst

Mid-Market (51-1000 emp.)

2/1/2026

"Accurate Risk Scoring and Automation That Scales Fraud Prevention"

4/5

What do you like best about Sift?

Sift provides strong fraud detection capabilities with accurate risk scoring that helps reduce chargebacks and manual review effort. The platform is relatively easy to integrate and offers clear dashboards that make monitoring fraud trends and decision outcomes straightforward. Its automation features help scale fraud prevention without significantly increasing operational overhead, and customer support is responsive when issues arise. Review collected by and hosted on G2.com.

What do you dislike about Sift?

Some advanced features require additional configuration and fine-tuning to achieve optimal results, which can take time and expertise. Pricing can become relatively high as transaction volume grows, and deeper customization or reporting sometimes requires support involvement rather than being fully self-service. There is also a learning curve for new users when interpreting certain risk signals. Review collected by and hosted on G2.com.

What problems is Sift solving and how is that benefiting you?

Sift helps address payment fraud and abuse by identifying high-risk transactions in real time, which reduces chargebacks and financial losses. It enables us to automate fraud decisions at scale, lowering the need for manual reviews and improving operational efficiency. By accurately distinguishing between legitimate and fraudulent users, Sift also helps protect genuine customers from unnecessary declines, supporting a smoother checkout experience and higher conversion rates. Review collected by and hosted on G2.com.

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Current UserValidated ReviewerIncentivizedSource: G2 invite on behalf of seller

 ![Mary Jane E.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Mary Jane E.")
ME

Mary Jane E.

Team Manager

Enterprise (\> 1000 emp.)

4/17/2026

"Real-Time Fraud Detection with Flexible, Transparent Case Investigation"

5/5

What do you like best about Sift?

What I like best about Sift is its ability to provide real-time, data-driven fraud detection while maintaining a seamless customer experience. It effectively combines machine learning with customizable rules, allowing teams to make accurate decisions quickly without heavily impacting good users.

Another key strength is its flexibility and visibility—the platform makes it easy to investigate cases, review signals, and understand the reasoning behind decisions. This helps improve both efficiency and confidence in handling complex risk scenarios.

Overall, Sift stands out for helping teams balance risk prevention and customer trust, enabling smarter and faster decision-making. Review collected by and hosted on G2.com.

What do you dislike about Sift?

One of the main challenges with Sift is that it can feel complex and overwhelming, especially when handling cases with multiple signals, linked accounts, and data points. This sometimes makes it harder to quickly identify the most critical information needed for decision-making.

Additionally, the annotation and documentation process can be time-consuming, particularly when detailed inputs are required across different fields. Missing even a small detail can impact quality, which adds pressure during high-volume workloads.

There are also moments where navigation and filtering could be more intuitive, as locating specific details or switching between related cases may take extra time.

Overall, while Sift is a powerful tool, improving usability, simplification of workflows, and clearer prioritization of key signals would enhance efficiency and user experience. Review collected by and hosted on G2.com.

What problems is Sift solving and how is that benefiting you?

Sift solves the problem of identifying and preventing fraudulent or high-risk transactions in real time, especially in environments with large volumes of user activity. It helps detect patterns such as account takeovers, suspicious behaviors, and potential policy violations that would be difficult to catch manually.

For me, this is highly beneficial because it simplifies decision-making by consolidating relevant risk signals, user history, and linked account data into one platform. Instead of manually gathering information from different sources, Sift provides a centralized view that allows for faster and more informed case evaluations.

It also improves accuracy and consistency in handling cases. With access to risk scores, rules, and historical data, I can make more confident decisions while aligning with company policies and SOPs.

Overall, Sift helps me work more efficiently, reduce errors, and maintain quality, while ensuring that legitimate users have a smooth experience and fraudulent activity is minimized. Review collected by and hosted on G2.com.

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Validated ReviewerIncentivizedSource: G2 invite on behalf of seller

NP

Nisha p.

Fraud Operations Analyst

Small-Business (50 or fewer emp.)

4/10/2026

"Clean UI, Seamless Integrations, and High-ROI Fraud Prevention with Sift"

5/5

What do you like best about Sift?

Sift offers a clean, visual UI with seamless e-commerce integrations. Its real-time AI leverages a global network for high performance, though pricing is premium. While onboarding is thorough, the ROI is high through significant chargeback and manual review reduction. Review collected by and hosted on G2.com.

What do you dislike about Sift?

Common dislikes include steep premium pricing and a complex initial setup that often requires technical resources. Users also report occasional false positives that increase manual workloads and limited native reporting compared to competitors, occasionally needing external BI tools for depth. Review collected by and hosted on G2.com.

What problems is Sift solving and how is that benefiting you?

Sift solves complex problems like payment fraud, account takeovers, and content scams. By using real-time AI to filter billions of events, it benefits you by reducing manual reviews, slashing chargebacks, and ensuring frictionless experiences for legitimate customers. Review collected by and hosted on G2.com.

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Current UserValidated ReviewerSource: Organic

 ![Kerolos G.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Kerolos G.")
KG

Kerolos G.

Payment Operations Analyst

Mid-Market (51-1000 emp.)

10/27/2025

"Powerful Fraud Detection with Robust Automation, But Complex Setup and Cost Concerns"

3.5/5

What do you like best about Sift?

Real-time risk-scoring of bookings (so you can flag quickly which bookings might be fraudulent) and integration with your PG/fraud tool ecosystem.

Workflows and rules that allow automation of “high risk → block/cancel” actions, freeing you from manual triage.

Dashboards that allow you to monitor fraud decline rates, patterns, and anomalies across your flight & hotel services.

Dispute/chargeback management modules that help you gather evidence, view dispute status, and follow up with acquirers.

Ability to link behaviour (e.g., account creation, booking patterns, refund requests) with risk scoring, which helps you detect “fraud skipes” (skipping patterns) or evolving fraud schemes. Review collected by and hosted on G2.com.

What do you dislike about Sift?

Complexity and implementation effort

Some users report a steep learning curve. The platform offers many capabilities, which means setup, tuning, rule-building, and integration can take time.

For smaller teams or organisations without dedicated fraud specialists, the resources needed (for configuration, fine-tuning, monitoring) may be non-trivial.

Cost and pricing model

Sift uses a custom, quote-based pricing model (often aligned to your transaction volume, the modules you use, and your service level).

Because of that, for smaller merchants with limited volume or limited fraud operations budget, it may be less cost-efficient than simpler tools.

Transparency of scoring / “black box” concerns

Some users note that while the scoring and ML are effective, they don’t always get full visibility into why a decision was made — making explanations to business stakeholders or appeals harder.

Also, there are mentions of false positives or misclassification of legitimate users, which can impact revenue or customer experience.

Reporting / customisation limitations

A few reviews mention that the reporting/analytics could be stronger or more flexible; the rich machine-learning engine is top tier, but viewing, exporting, or fully customising dashboards may be less advanced than desired. Review collected by and hosted on G2.com.

What problems is Sift solving and how is that benefiting you?

Sift offers a full “Digital Trust & Safety” suite that spans payment protection, account defense (e.g., account takeover prevention), content integrity (spam/scams), and dispute/chargeback management.

Technology Evaluation Center

Because everything is in one platform, fraud operations can see user behaviour, transactions, and risk across different touch-points (not just payment fraud).

Their global network reportedly handles 1 trillion events per year, meaning the system benefits from very large-scale data.

Technology Evaluation Center

Because everything is in one platform, fraud operations can see user behaviour, transactions, and risk across different touch-points (not just payment fraud).

Nerdisa

Their global network reportedly handles 1 trillion events per year, meaning the system benefits from very large-scale data.

Strong machine-learning and real-time decisioning

The ML models and real-time scoring allow for risk assessments and automated actions (block / review / accept) very quickly.

Nerdisa

Many users report that Sift helps reduce manual review burden and allows focusing on high-risk cases.

Good for growing / high-volume merchants

It is particularly well suited to mid-sized to enterprise-level companies with serious fraud risk, many transactions, or complex cross-channel operations.

Technology Evaluation Center

It supports integrations with many systems (payment gateways, CRMs, case management). Review collected by and hosted on G2.com.

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1/28/2026
Current UserValidated ReviewerIncentivizedSource: G2 invite on behalf of seller

 ![Archie R.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Archie R.")
AR

Archie R.

Fraud Analyst

Small-Business (50 or fewer emp.)

8/2/2025

"Essential Tool with Seamless Integration"

5/5

What do you like best about Sift?

I love the ease of use of Sift and how it can be integrated with most apps without any bugs or minimal technical errors. It's really valuable to me because without it, the work cannot be completed efficiently. The initial setup was perfectly easy and very intuitive. Review collected by and hosted on G2.com.

What do you dislike about Sift?

Sometimes, the comment section on the app hangs up or freezes, and it can affect other tabs that are also on Sift. I raised it to our IT Team to no avail. Review collected by and hosted on G2.com.

What problems is Sift solving and how is that benefiting you?

Sift automates account checks for potential fraud, reducing manual work. It lets me set filters to flag suspicious bookings for agents to review, enhancing efficiency. Review collected by and hosted on G2.com.

Show More

4/30/2026
Current UserValidated ReviewerIncentivizedSource: G2 invite on behalf of seller

## Questions about Sift? Ask real users or explore answers from the community

Get practical answers, real workflows, and honest pros and cons from the G2 community or share your insights.

[
Ask about Sift
](https://www.g2.com/products/sift-s-ai-powered-fraud-decisioning-platform-sift/discussions/new)

 ![Sarah M.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Sarah M.")
SM

Sarah Marchetta
•
Last activity about 2 months ago

How does Sift help detect and prevent account takeover attempts?

1 Upvote

1

[
Join the conversation
](https://www.g2.com/discussions/how-does-sift-help-detect-and-prevent-account-takeover-attempts)

 ![Sarah M.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Sarah M.")
SM

Sarah Marchetta
•
Last activity about 2 months ago

How does Sift use machine learning to adapt to evolving fraud patterns?

1 Upvote

1

[
Join the conversation
](https://www.g2.com/discussions/how-does-sift-use-machine-learning-to-adapt-to-evolving-fraud-patterns)

[
View all Discussions
](https://www.g2.com/products/sift-s-ai-powered-fraud-decisioning-platform-sift/discuss)

## Pricing Insights

Averages based on real user reviews.

### Time to Implement

2 months

### Return on Investment

11 months

### Average Discount

10%

[
View More Pricing Information
](https://www.g2.com/products/sift-s-ai-powered-fraud-decisioning-platform-sift/pricing)

Sift Comparisons

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Signifyd

4.6/5(352)

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Riskified

4.4/5(229)

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4.8/5(116)

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##### 
##### Sift Features

Intelligence

Transaction Scoring

Risk Assessment

ID Analytics

Detection

Fraud Detection

Real-Time Monitoring

Real-Time Monitoring

Response

Device Tracking

Fraud Markers

Analysis 

ID Analytics

Intelligence Reporting

Incident Reports

[
View More Features
](https://www.g2.com/products/sift-s-ai-powered-fraud-decisioning-platform-sift/features)

## Top-Rated Alternatives

[

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[

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Signifyd

4.6/5(352)

](https://www.g2.com/products/signifyd/reviews)

[
View All Alternatives
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##### Categories on G2

[Risk-Based Authentication (RBA)](https://www.g2.com/categories/risk-based-authentication-rba)[Fraud Detection](https://www.g2.com/categories/fraud-detection)[E-commerce Fraud Protection](https://www.g2.com/categories/e-commerce-fraud-protection)

[Risk-Based Authentication (RBA)](https://www.g2.com/categories/risk-based-authentication-rba)[Fraud Detection](https://www.g2.com/categories/fraud-detection)[E-commerce Fraud Protection](https://www.g2.com/categories/e-commerce-fraud-protection)[Financial Fraud Prevention](https://www.g2.com/categories/financial-fraud-prevention)

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