I Reviewed the 6 Best E-Commerce Fraud Protection Tools

Every online transaction your store processes has the potential to either grow your revenue or chip away at it.

Fraudulent chargebacks, fake accounts, and stolen payment methods don’t just eat into profit margins; they drain operational resources, slow fulfillment, and frustrate loyal customers. Left unchecked, they can quietly erode revenue, spike dispute-handling costs, and accelerate customer churn.

For decision-makers, the stakes are clear: Invest in the right fraud prevention solution now, or risk long-term damage to profitability and brand trust.

If you’re choosing an e-commerce fraud protection software, you need more than a feature checklist. You need a short list backed by real user experience, performance data, and business impact. That’s why I’ve analyzed verified G2 reviews and feature-level ratings to identify six of the best e-commerce fraud protection software that don’t just detect fraud, but actively protect revenue while keeping customer experience smooth.

Whether your priority is real-time detection, AI-driven risk scoring, chargeback guarantees, or seamless integrations with your existing e-commerce stack, this guide will help you compare options side by side and select the one that best fits your risk profile and growth goals.

6 best e-commerce fraud protection software I recommend

E-commerce fraud protection software safeguards online transactions by detecting suspicious activity, verifying customer identities, and preventing chargebacks in real time. These tools use machine learning, behavioral analytics, and risk scoring to help merchants block fraudulent orders while maintaining a smooth checkout experience for genuine shoppers.

I found these platforms especially helpful for reducing false positives, automating order screening, and scaling fraud prevention without adding manual review overhead. Beyond core detection, they also offer chargeback protection, seamless integrations with payment gateways and e-commerce platforms, and customizable rules to fit different business risk profiles.

Before you invest in an e-commerce fraud prevention solution, evaluate its integration capabilities, false positive rates, and the balance it offers between security and user experience. Be mindful that some tools prioritize aggressive fraud blocking, which can inadvertently decline legitimate customers, so choosing software with transparent risk scoring and adaptive machine learning models is key.

What makes the best e-commerce fraud protection software: My criteria

Not every fraud prevention tool is built for the same level of protection. Some just flag risky orders, while others provide layered identity checks, dynamic risk scoring, and even chargeback guarantees. To narrow it down, I focused on platforms that deliver real fraud prevention value without hurting the shopper experience.

Here’s what I prioritized when evaluating the best e-commerce fraud protection software:

• Accuracy and false positive reduction: The best fraud prevention platforms strike the right balance between blocking fraudulent orders and approving legitimate ones. I prioritized tools with machine learning models that adapt over time and minimize false declines, as turning away genuine customers can cost more than fraud itself.
• Real-time detection and dynamic risk scoring: Speed is critical in e-commerce. I looked for solutions that instantly analyze transactions, user behavior, and device signals to assign a risk score. Real-time decisions reduce manual reviews and ensure the checkout flow isn’t delayed for honest shoppers.
• Chargeback protection and liability coverage: Fraud doesn’t just cause lost revenue — it creates operational headaches. I valued platforms that go beyond detection and offer chargeback guarantees or financial liability coverage on approved orders, which adds a layer of confidence for merchants.
• Seamless integrations with e-commerce platforms and payment gateways: Fraud prevention can’t exist in a silo. I prioritized tools that integrate natively with major e-commerce platforms like Shopify, Magento, and WooCommerce, as well as popular payment processors. Easy integration reduces setup time and ensures fraud checks happen without disrupting workflows.
• Global coverage and multi-layered identity verification: For online stores selling internationally, fraud risks increase with cross-border orders. I looked for tools that combine behavioral analytics with layered identity checks (like device fingerprinting, email analysis, and geolocation) to validate buyers across different regions.
• Customizable rules and scalability: Fraud patterns vary by industry and business model. I favored platforms that allow merchants to set custom rules, thresholds, and workflows that match their risk tolerance. Scalable solutions that work for both small online shops and enterprise retailers scored higher on my list.
• Reporting, analytics, and transparency: A fraud tool shouldn’t be a black box. I valued platforms that offer clear reporting dashboards, explainable risk decisions, and actionable insights so merchants can understand why an order was flagged and refine their approach over time.

With this in mind, I shortlisted six best e-commerce fraud protection software that consistently deliver accurate detection, seamless integrations, and a balanced approach to security and customer experience. These tools are the leading fraud prevention software for online retailers and best online fraud protection software for startups. Let’s take a closer look at what each tool is best for.

The list below contains genuine user reviews from the E-commerce Fraud Protection Software category. To be included in this category, a solution must:

• Provide algorithms to monitor for possible fraudulent or high-risk online activity
• Define rules to identify and analyze suspicious e-commerce purchasing behavior
• Include workflows to review, approve, or decline high-risk e-commerce transactions
• Comply with regulations to prevent online fraud and protect sensitive information
• Deliver reports and insights on reviewed transactions, chargebacks, and false declines

*This data was pulled from G2 in 2025. Some reviews may have been edited for clarity.  

1. Sift: Best for AI-driven fraud detection and dynamic scoring

Sift is built for merchants who need accurate, AI-powered fraud detection without slowing down transactions. It combines machine learning with behavioral analytics to help e-commerce businesses spot suspicious activity and make smarter, faster decisions. With a 4.6/5 rating on G2, it’s a trusted choice for teams looking to stay ahead of evolving fraud tactics.

Many users highlighted Sift’s ease of use and smooth setup, even for non-technical teams. Reviewers appreciated that implementation didn’t require heavy technical expertise, and teams could get up and running quickly. 

Once in use, the user timeline view stood out as a major efficiency booster. It consolidates login locations, device fingerprints, and activity patterns into a single, searchable record. This makes investigations far faster because analysts don’t have to jump between multiple tools to understand a customer’s history.

Sift’s real-time decision-making was another recurring theme. Risk teams valued that they could immediately act on suspicious orders without waiting for batch reviews, which meant fraudsters had less time to exploit vulnerabilities. 

A stable, well-documented API was also praised for making integration into existing fraud review workflows seamless, allowing Sift to fit into businesses’ existing tech stacks without slowing operations.

The platform’s risk scoring accuracy consistently received positive attention. According to G2 Data, 90% of users praised its fraud detection capabilities, while 89% rated its real-time monitoring highly for catching anomalies as they happen. 

Multiple reviews called out the alerting features, which proactively flag suspicious transactions before they escalate into costly issues. Documentation and support earned frequent mentions as well, with users saying that onboarding and day-to-day troubleshooting were quick and hassle-free.

Sift is built with a strong focus on security, which some users noted can occasionally result in legitimate customer behavior being flagged as suspicious. This cautious approach reflects its priority on minimizing risk, even if it means adding an extra layer of review. 

Risk scoring is designed for thoroughness, analyzing complex event data to flag potential issues. Some users noted that this depth can slow processing with very large datasets and wished for more transparency in how scores are calculated.

Still, most reviewers emphasized that Sift integrates seamlessly with e-commerce platforms and fraud review workflows, striking a balance between strong fraud prevention and minimal checkout friction. Sift feels like the right fit for businesses that want adaptive, machine learning–driven fraud detection with high accuracy, and prefer a slightly more conservative approach to risk.

What I dislike about Sift:

• Some reviewers mentioned that Sift can lean on the cautious side, occasionally flagging legitimate customer behavior as suspicious. While this may add an extra step for review, many preferred this over the risk of fraudulent transactions slipping through. 
• A handful of users mentioned that when working with particularly large datasets, load times could be slower.

What G2 users dislike about Sift:

“While the core functionality is solid, debugging and observability could be improved. It’s often unclear when or why certain attributes are dropped or rejected, and there’s limited visibility into how specific events contribute to a user’s score. Additionally, a previously available setting that allowed workflows to be configured to always execute or conditionally execute is no longer present. That feature was valuable for testing and tuning workflows, and its absence makes it harder to confidently control execution logic. Bringing back that level of control — along with better event-level logging — would significantly improve developer and analyst experience.” 

- Sift review, Jaya B.

2. Mastercard Identity Review 360: Best for real-time payment verification and identity analysis

Mastercard Identity Review 360, formerly known as Ekata, is built for real-time identity verification and payment risk assessment, helping merchants and financial institutions reduce fraud at checkout. It’s especially popular in financial services, which represent 35% of its user base on G2 reviews.

Reviewers praised how easily it pulls together key identity signals like phone numbers, email addresses, IPs, and physical locations into one view. Many highlighted its value in flagging risky transactions, especially by surfacing negative attributes linked to a customer’s digital footprint. 

The interface was consistently described by reviewers as clean, simple, and intuitive, making it easy for fraud investigators to move quickly during manual reviews. Users appreciated that searching for and cross-checking data, whether it was an IP address, email, or phone number, could be done in just a few clicks. This speed and ease of navigation meant investigations could proceed without unnecessary back-and-forth between systems.

What really stood out in the feedback was the breadth and depth of Mastercard Identity Review 360’s identity data. Reviewers repeatedly noted how the platform brings together multiple verification signals like device data, location, and network information into a single, consolidated view. This not only helps confirm addresses and verify phone or email ownership but also surfaces negative risk attributes that might otherwise be missed.

According to G2 Data, 96% of users rated its Fraud Detection and Transaction Scoring features highly, underscoring its accuracy and effectiveness in mitigating identity theft and reducing fraudulent payments.

Some users mentioned that data points in results can include overlapping details, such as repeated network signals, which at times makes it harder to zero in on the most relevant insights. However, industries with high compliance requirements, like financial services or cybersecurity, often value this level of redundancy, since it provides added assurance and multiple points of validation.

The platform delivers strong phone and address data coverage in core regions, particularly across English-speaking markets. Expanding to international searches may require additional enrichment, but this focused approach ensures high accuracy where demand is strongest.

Despite these one-off comments, most reviewers consistently described Mastercard Identity Review 360 as reliable and accurate for day-to-day fraud prevention, making it a trusted choice for merchants and financial institutions.

What I dislike about Mastercard Identity Review 360:

• While it generally works well, certain data points in the results can feel a bit repetitive, like overlapping network signals.
• A few felt that phone and address data coverage could be broadened, particularly for international regions. While it performs well in core markets, an expanded global reach would make it even more versatile.

What G2 users dislike about Mastercard Identity Review 360:

“There are instances when you search for a specific number, and it will not show any result.”

- Mastercard Identity Review 360 review, Kriezl Angeleen Q.

3. Signifyd: Best for guaranteed fraud protection and chargeback coverage

Signifyd is built for merchants who want fraud protection backed by a financial guarantee. It’s a popular choice for e-commerce businesses that process high-value orders because it reduces manual reviews and absorbs the cost of chargebacks on approved transactions. On G2, it’s rated 4.6/5, with 94% of users rating its fraud detection and device tracking features as excellent.

One of the most highlighted strengths in G2 reviews was its automation and guaranteed chargeback protection. Merchants mentioned how Signifyd gives them the confidence to approve more orders without worrying about fraud liability. Users also loved that it reduces false declines, which directly translates to higher revenue. 

Another major plus was how it streamlines fraud reviews, freeing up teams from manual checks and speeding up fulfillment. Reviewers said Signifyd’s automated decisions cover the vast majority of orders, with only edge cases routed for review, so ops teams spend less time triaging and more time shipping. Several noted that clearer pass/fail signals and straightforward review queues made day-to-day workflows simpler.

Beyond that, many reviewers praised its intelligent filtering between genuine customers and bad actors, which improved acceptance rates while maintaining security. Users highlighted that repeat, trustworthy buyers are recognized more reliably, while risky patterns, like mismatched details or unusual device behavior, are flagged early. This balance shows up in fewer false declines alongside tighter control of suspect orders. 

The seamless integrations with payment processors, e-commerce platforms, and real-time fraud alerts were also frequently mentioned, making it easy for businesses to act quickly without disrupting checkout flows. Several users highlighted that these integrations, combined with automation, cut down on repetitive tasks and freed up fraud teams to focus on more complex cases.

I also noticed a lot of appreciation for its support team and user-friendly interface. Merchants described the dashboard as clean and easy to navigate, with risk scores and decision outcomes displayed clearly so teams could act quickly without digging through layers of reports. Reviewers said the layout made it simple to see which orders were safe to approve, which needed review, and why, cutting down on training time for new staff.

Teams valued how Signifyd helps with payment disputes, handling customer claims, and resolving issues without requiring merchants to gather extensive proof. This gave staff more time to focus on growth rather than admin work.

The system is intentionally cautious, prioritizing fraud prevention by flagging any activity that appears unusual. A few users noted that this can occasionally include legitimate customers, but they appreciated that the approach errs on the side of protection rather than risking fraudulent activity slipping through. 

The interface is optimized for both desktop and mobile, giving users the flexibility to work across devices. Some noted that the experience can feel slightly inconsistent between the two, which may be important for teams that expect a perfectly unified design across platforms.

Overall, Signifyd is a strong fit for online retailers who want fraud protection that goes beyond detection, offering guaranteed coverage and automation that improves both security and sales.

What I dislike about Signifyd:

• Some reviewers noted occasional false positives, where even trusted customers might get flagged as suspicious. However, they appreciated that the system errs on the side of caution, reducing the risk of fraudulent orders slipping through.
• While Signifyd is optimized for both mobile and desktop, the experience can feel slightly inconsistent between the two.

What G2 users dislike about Signifyd:

“The price would most likely be my primary objection; the fees on extremely low average order businesses or those with closely margined businesses can easily add up.”

- Signifyd review, Frank M.   

4. ClearSale: Best for global fraud prevention with analyst review

ClearSale is designed for merchants who want fraud detection backed by human analyst review, and the data shows it’s trusted by a wide range of businesses. According to G2, 54% of its users come from the retail industry, making it a strong fit for online stores with high order volumes.

One of the most highlighted strengths in G2 reviews was its ease of integration and setup. Many users mentioned that connecting ClearSale to platforms like Shopify was seamless and required minimal effort. The implementation process was often described as smooth, even for non-technical teams, which meant merchants could start protecting transactions without long delays.

Merchants also valued the peace of mind from the chargeback coverage feature. If ClearSale approves an order and it later results in a chargeback, the platform reimburses the merchant. Reviewers said this safety net not only saves time but also boosts confidence in approving borderline orders.

Beyond that, ClearSale’s hybrid approach of automated checks plus manual review came up repeatedly in feedback. Users felt this balance significantly reduced false declines, ensuring legitimate customers weren’t turned away. Reviewers also mentioned that it frees up internal teams from time-consuming fraud checks, allowing them to focus on sales, fulfillment, and customer service.

I also noticed a lot of praise for its responsive, hands-on support team. Multiple reviewers said questions were answered quickly and that support agents often followed up proactively to make sure any setup or review issues were fully resolved. This level of responsiveness made merchants feel well-supported, especially during busy sales periods.

Many reviews also noted the operational efficiency gains ClearSale provides. By accurately identifying legitimate buyers without adding excessive delays, the platform helps streamline order processing while maintaining strong fraud controls.

The system is designed to carefully review orders for accuracy and compliance, which some reviewers noted can take longer during peak volume periods. While this may occasionally delay same-day fulfillment, the added scrutiny helps ensure orders are processed correctly and securely.

Customer service is widely praised for being helpful and effective. A few reviewers noted that response times can occasionally vary, which may matter more to teams needing immediate turnaround, though most still valued the overall quality of support.

All things considered, ClearSale is a great fit for retailers who want a balance between automated fraud detection and expert human review, with the added reassurance of chargeback coverage. It’s rated 4.7/5 on G2, reflecting its strong reputation among merchants looking to protect revenue without compromising customer experience.

What I dislike about ClearSale:

• Some reviewers noted that order approvals could occasionally take longer during peak shopping periods, which might delay same-day fulfillment. Most agreed, however, that this extra review time was part of ensuring thorough fraud checks.
• While many praised the responsiveness of ClearSale’s customer service, a few mentioned that response times could vary in certain cases, though overall support quality remained high.

What G2 users dislike about ClearSale:

“They keep changing their user website, and although I think they are trying to make it better overall, it's still sometimes confusing. Plus, it seems every time I have to submit a chargeback to them, the process on their website has changed. Hopefully, they find a process that works well for everyone soon.”

- ClearSale review, Bethany R. 

5. NoFraud: Best for automated, real-time order screening

NoFraud is designed for e-commerce businesses that want fraud prevention without the heavy manual review workload. 94% of G2 users rate its fraud detection and payment verification features positively, while 92% of users rate real-time monitoring and alerts positively, reflecting its reliability in screening transactions without adding friction to the checkout process.

NoFraud is built for merchants who want fast, accurate fraud screening without slowing down order processing, and reviewers say it delivers. According to G2 feedback, its AI-driven decisioning combines device fingerprinting, geolocation, and behavioral analysis to assess transactions instantly, with over 99% of decisions made in real time. Merchants noted that this automation saved their teams hours of manual reviews each week, letting them focus on fulfillment and growth.

One of the biggest standouts in reviews was its hybrid approach: when transactions show mixed risk signals, they’re escalated to an analyst for manual review. Users praised this balance of AI speed and human oversight for reducing false declines and catching sophisticated fraud attempts that automated systems might miss.

Integration was another highlight. Merchants said connecting NoFraud to platforms like Shopify, WooCommerce, and BigCommerce was seamless and required minimal technical work, making it easy to add robust protection without disrupting existing workflows.

Reviewers called out a clear, easy-to-read dashboard and customizable reporting that make it simple to see which orders are safe to approve and which need a second look. Several mentioned the ability to use blocklists/allowlists and straightforward status queues, which helped teams triage faster and stay organized during busy periods. 

Several reviews also emphasized the platform’s ease of use and responsive support team. The Help Center, onboarding guidance, and clear reporting tools made it simple for teams to get started, even without dedicated fraud specialists. Many noted that NoFraud provided peace of mind during busy sales periods, like Black Friday or product launches, helping them confidently approve more orders without worrying about chargebacks slipping through. 

Multiple merchants described NoFraud as a low-maintenance, set-and-forget tool once configured, often noting it felt stronger than native platform fraud alerts and required minimal ongoing tuning to keep pace with day-to-day order volume.

Onboarding is supported with clear resources and verification steps that help ensure accounts are set up securely. A few reviewers mentioned that limited access to live support and occasional confusion from verification emails could slow the process, which may be more noticeable for teams seeking a highly hands-on start. Some said transactions also took longer to review during peak periods, though most agreed this was the trade-off for thorough checks. 

The approval criteria are intentionally strict to protect against fraud, applying consistent standards even in cases like VPN usage or low-history emails. A few users suggested more flexibility and the option for proactive human review during critical sales spikes, though the current approach prioritizes security and uniformity.

All things considered, NoFraud is a strong fit for online merchants who want a streamlined, AI-powered fraud prevention solution with the reassurance of human oversight when it matters most.

What I dislike about NoFraud:

• During peak periods or high-volume sales events, a few reviewers noted that some orders may take longer to review or verify. While this can introduce slight delays, many felt the extra diligence was worth it to ensure accurate fraud checks.
• Some users mentioned they’d like to see more flexible approval criteria, such as how VPN usage or low-history emails are treated, and suggested having proactive human review during major promotions to keep legitimate high-value orders moving faster.

What G2 users dislike about NoFraud:

“The only downside, which is unavoidable with ANY fraud software, is the potential for false flags, where a ‘good’ customer's order is cancelled. These are rare, but do happen, and are easy enough to resolve directly with that customer. There are options to whitelist good customers (or blacklist if necessary).”

 - NoFraud review, Rob S.

6. SEON. Fraud Fighters: Best for flexible, modular fraud APIs and digital footprinting

SEON. Fraud Fighters is designed for businesses that want modular fraud prevention tools with deep data enrichment capabilities, and the reviews reflect that versatility. It’s popular among teams managing high-risk user flows and looking for flexible APIs to customize fraud rules to their specific needs. 

On G2, SEON is rated 4.6/5, with 94% of users rating its real-time monitoring and transaction scoring features highly, outperforming the category average. Reviewers say this translates into quicker approvals for good customers, fewer manual reviews, and more confidence in tuning rules over time, since the scoring is consistent and explainable across day-to-day order volumes and spikes.

One of the most highlighted strengths in G2 reviews was its breadth of data insights. Users mentioned how SEON. can pull a huge amount of valuable information — even from minimal user attributes — covering everything from device fingerprints and IP data to social media and email reputation. 

Many reviewers praised SEON’s customizable rules engine, which allows teams to fine-tune fraud detection settings to match their unique risk profiles. They appreciated being able to adapt thresholds, scoring, and triggers over time without needing constant developer input.

Beyond customization, users valued its flexibility to operate in both live decisioning and post-transaction analysis modes. For some merchants, this meant instantly approving or declining transactions in real time, while others used it as a deeper investigative tool to uncover new or emerging fraud patterns.

The platform’s integration capabilities were also a recurring highlight. Businesses found it straightforward to connect SEON. into their existing tech stacks, from payment gateways to CRMs, ensuring fraud checks happen seamlessly in the background without disrupting operations.

Another strength that came up repeatedly was its ability to support ongoing fraud prevention alongside initial KYC checks. Reviewers noted that the same tools used for transaction screening could also verify customer identities, adding another layer of protection and compliance without extra software.

I also saw a lot of appreciation for its user-friendly interface and smooth UX, even though it’s packed with data points. Many reviewers said SEON strikes a balance between advanced functionality and approachable design, making it useful for both technical and non-technical teams. 

They noted that additional best-practice examples or hands-on onboarding sessions could make it even easier to maximize the platform’s capabilities from day one.

The platform provides access to a large volume of data, giving teams comprehensive visibility. Some users noted that it can take time to determine which insights are most relevant, but this breadth ensures that key signals are available when needed.

The system is intentionally cautious, sometimes flagging false positives that require a second look. While this adds an extra review step, it reinforces protection against risk. A few users also suggested more frequent proactive support touchpoints, which could further streamline the experience.

All things considered, SEON. Fraud Fighters is a great fit for businesses that need flexible fraud prevention with rich data insights and customizable workflows, while still keeping the platform intuitive to use.

What I dislike about SEON. Fraud Fighters:

• Some reviewers noted that SEON provides a vast amount of data, which can feel a little overwhelming at first. However, most said that once they became familiar with the interface, it became easier to focus on the most relevant signals.
• There were a few mentions of rare false positives and a wish for more proactive support touchpoints over time, but users generally felt these were minor considerations compared to the platform’s overall fraud detection accuracy.

What G2 users dislike about SEON. Fraud Fighters:

“While SEON is a powerful tool, the initial setup and customization can be a bit overwhelming for new users without technical backgrounds. Additionally, some advanced features could benefit from more in-depth documentation or onboarding support.” 

- SEON. Fraud Fighters review, Dencho C.

Best e-commerce fraud protection software: Frequently asked questions (FAQs)

Got more questions? G2 has the answers!

Q1. What's the top-rated e-commerce fraud software for security? 

If you’re looking for the highest-rated option purely for security, ClearSale edges ahead on G2 ratings, while Sift and Signifyd offer robust protection with strong automation and scalability. The right choice depends on whether you prioritize speed, manual review, chargeback guarantees, or flexible rules.

Q2. Which fraud protection software is best for mobile e-commerce?

Sift and SEON Fraud Fighters are strong choices for mobile-focused e-commerce. Both use device fingerprinting and behavioral analytics to flag risky activity in real time. Sift is known for its user-friendly mobile integrations, while SEON excels at pulling rich data from minimal mobile user attributes, like email or IP.

Q3. What is the best online fraud protection software for startups? 

For startups, NoFraud is a great fit because it’s lightweight, easy to integrate, and largely automated, reducing the need for a dedicated fraud team. It approves most orders instantly and only escalates truly suspicious ones for manual review, which is ideal for lean teams.

Q4. What is the leading fraud prevention software for online retailers? 

Signifyd and ClearSale lead the pack for online retailers. Signifyd offers chargeback guarantees and automation that scale well with growing order volumes, while ClearSale combines AI with manual analyst review, a hybrid model that reduces false declines while maintaining customer trust.

Q5. What are the top e-commerce fraud prevention tools for large businesses? 

For enterprises or high-volume retailers, Signifyd and Sift stand out. Signifyd offers financial liability coverage for fraud on approved orders, while Sift’s adaptive machine learning models scale with millions of transactions, making them ideal for large businesses with complex fraud patterns.

Q6. What is the best anti-fraud system for medium-sized e-commerce businesses?

ClearSale is ideal for mid-sized businesses that want fraud prevention without building an in-house review team. Its mix of automated detection and manual analyst review helps maintain accuracy while minimizing false declines, which is important for businesses at the growth stage.

Q7. What is the best e-commerce transaction security service providers? 

Mastercard Identity Review 360 is excellent for identity verification and layered payment checks, especially for businesses in financial services. Signifyd also provides end-to-end protection, covering chargebacks, fraud detection, and even dispute management.

Q8. What's the best e-commerce fraud protection for small online stores?  

NoFraud is the best fit for small stores. It’s affordable, easy to set up, and runs on autopilot, making fraud prevention manageable without extra resources. ClearSale is also a good alternative, thanks to its customizable pricing for smaller merchants.

Q9. Which is the most effective fraud detection software for e-commerce? 

The answer depends on your priorities. Sift is highly effective for real-time behavioral analysis, Signifyd combines accurate detection with chargeback guarantees, and SEON gives merchants flexible, API-based controls. Each is effective, but the best fit comes down to whether you value speed, financial coverage, or customization most.

Q10. What are the best options for protecting e-commerce sites from fraud? 

For broad protection, ClearSale pairs AI checks with analyst review to cut false declines, while NoFraud automates order screening for fast, low-friction approvals. Mastercard Identity Review 360 strengthens payment verification, and Signifyd and Sift deliver end-to-end automation and real-time alerts. Together, these tools help safeguard revenue without slowing checkout.

Keep scammers out of your cart 

The right e-commerce fraud protection software goes beyond basic order screening — it helps you stay ahead of evolving fraud tactics while keeping checkout friction-free. From automated real-time tools like NoFraud to AI-powered platforms like Sift and scalable global solutions like ClearSale, each of these six options brings a unique layer of protection for online merchants.

Your ideal solution will depend on your transaction volume, target markets, and how much control you want over fraud rules. But one thing is clear: Proactive fraud prevention is no longer optional — it’s essential to protect profits and customer trust.

Fraud prevention is just one piece of the puzzle. 

If you’re looking to strengthen your store’s overall defenses, check out the best website security software to safeguard against breaches, malware, and other cyber risks.