Each on-line transaction your retailer processes has the potential to both develop your income or chip away at it.

Fraudulent chargebacks, faux accounts, and stolen cost strategies don’t simply eat into revenue margins; they drain operational sources, gradual achievement, and frustrate loyal prospects. Left unchecked, they’ll quietly erode income, spike dispute-handling prices, and speed up buyer churn.

For decision-makers, the stakes are clear: Put money into the suitable fraud prevention answer now, or danger long-term harm to profitability and model belief.

For those who’re selecting an e-commerce fraud safety software program, you want greater than a characteristic guidelines. You want a brief listing backed by actual consumer expertise, efficiency knowledge, and enterprise influence. That’s why I’ve analyzed verified G2 opinions and feature-level scores to determine six of the perfect e-commerce fraud safety software program that don’t simply detect fraud, however actively shield income whereas holding buyer expertise clean.

Whether or not your precedence is real-time detection, AI-driven danger scoring, chargeback ensures, or seamless integrations along with your current e-commerce stack, this information will assist you examine choices facet by facet and choose the one that most closely fits your danger profile and development objectives.

6 finest e-commerce fraud safety software program I like to recommend

E-commerce fraud safety software program safeguards on-line transactions by detecting suspicious exercise, verifying buyer identities, and stopping chargebacks in actual time. These instruments use machine studying, behavioral analytics, and danger scoring to assist retailers block fraudulent orders whereas sustaining a clean checkout expertise for real customers.

I discovered these platforms particularly useful for lowering false positives, automating order screening, and scaling fraud prevention with out including handbook overview overhead. Past core detection, additionally they supply chargeback safety, seamless integrations with cost gateways and e-commerce platforms, and customizable guidelines to suit completely different enterprise danger profiles.

Earlier than you put money into an e-commerce fraud prevention answer, consider its integration capabilities, false constructive charges, and the stability it gives between safety and consumer expertise. Be aware that some instruments prioritize aggressive fraud blocking, which may inadvertently decline official prospects, so selecting software program with clear danger scoring and adaptive machine studying fashions is essential.

What makes the perfect e-commerce fraud safety software program: My standards

Not each fraud prevention device is constructed for a similar stage of safety. Some simply flag dangerous orders, whereas others present layered id checks, dynamic danger scoring, and even chargeback ensures. To slender it down, I targeted on platforms that ship actual fraud prevention worth with out hurting the consumer expertise.

Right here’s what I prioritized when evaluating the perfect e-commerce fraud safety software program:

• Accuracy and false constructive discount: One of the best fraud prevention platforms strike the suitable stability between blocking fraudulent orders and approving official ones. I prioritized instruments with machine studying fashions that adapt over time and reduce false declines, as turning away real prospects can value greater than fraud itself.
• Actual-time detection and dynamic danger scoring: Velocity is essential in e-commerce. I regarded for options that immediately analyze transactions, consumer conduct, and system indicators to assign a danger rating. Actual-time selections cut back handbook opinions and make sure the checkout movement isn’t delayed for sincere customers.
• Chargeback safety and legal responsibility protection: Fraud doesn’t simply trigger misplaced income — it creates operational complications. I valued platforms that transcend detection and supply chargeback ensures or monetary legal responsibility protection on permitted orders, which provides a layer of confidence for retailers.
• Seamless integrations with e-commerce platforms and cost gateways: Fraud prevention can’t exist in a silo. I prioritized instruments that combine natively with main e-commerce platforms like Shopify, Magento, and WooCommerce, in addition to standard cost processors. Simple integration reduces setup time and ensures fraud checks occur with out disrupting workflows.
• World protection and multi-layered id verification: For on-line shops promoting internationally, fraud dangers improve with cross-border orders. I regarded for instruments that mix behavioral analytics with layered id checks (like system fingerprinting, e-mail evaluation, and geolocation) to validate patrons throughout completely different areas.
• Customizable guidelines and scalability: Fraud patterns fluctuate by business and enterprise mannequin. I favored platforms that enable retailers to set customized guidelines, thresholds, and workflows that match their danger tolerance. Scalable options that work for each small on-line outlets and enterprise retailers scored larger on my listing.
• Reporting, analytics, and transparency: A fraud device shouldn’t be a black field. I valued platforms that provide clear reporting dashboards, explainable danger selections, and actionable insights so retailers can perceive why an order was flagged and refine their strategy over time.

With this in thoughts, I shortlisted six finest e-commerce fraud safety software program that constantly ship correct detection, seamless integrations, and a balanced strategy to safety and buyer expertise. These instruments are the main fraud prevention software program for on-line retailers and finest on-line fraud safety software program for startups. Let’s take a better take a look at what every device is finest for.

The listing under accommodates real consumer opinions from the E-commerce Fraud Safety Software program class. To be included on this class, an answer should:

• Present algorithms to observe for potential fraudulent or high-risk on-line exercise
• Outline guidelines to determine and analyze suspicious e-commerce buying conduct
• Embrace workflows to overview, approve, or decline high-risk e-commerce transactions
• Adjust to rules to forestall on-line fraud and shield delicate data
• Ship experiences and insights on reviewed transactions, chargebacks, and false declines

*This knowledge was pulled from G2 in 2025. Some opinions might have been edited for readability.  

Sift is constructed for retailers who want correct, AI-powered fraud detection with out slowing down transactions. It combines machine studying with behavioral analytics to assist e-commerce companies spot suspicious exercise and make smarter, sooner selections. With a 4.6/5 score on G2, it’s a trusted alternative for groups seeking to keep forward of evolving fraud techniques.

Many customers highlighted Sift’s ease of use and clean setup, even for non-technical groups. Reviewers appreciated that implementation didn’t require heavy technical experience, and groups may rise up and working rapidly. 

As soon as in use, the consumer timeline view stood out as a serious effectivity booster. It consolidates login areas, system fingerprints, and exercise patterns right into a single, searchable document. This makes investigations far sooner as a result of analysts don’t have to leap between a number of instruments to grasp a buyer’s historical past.

Sift’s real-time decision-making was one other recurring theme. Danger groups valued that they might instantly act on suspicious orders with out ready for batch opinions, which meant fraudsters had much less time to take advantage of vulnerabilities. 

A secure, well-documented API was additionally praised for making integration into current fraud overview workflows seamless, permitting Sift to suit into companies’ current tech stacks with out slowing operations.

The platform’s danger scoring accuracy constantly obtained constructive consideration. In keeping with G2 Knowledge, 90% of customers praised its fraud detection capabilities, whereas 89% rated its real-time monitoring extremely for catching anomalies as they occur. 

A number of opinions known as out the alerting options, which proactively flag suspicious transactions earlier than they escalate into pricey points. Documentation and assist earned frequent mentions as properly, with customers saying that onboarding and day-to-day troubleshooting have been fast and hassle-free.

Sift is constructed with a powerful give attention to safety, which some customers famous can often end in official buyer conduct being flagged as suspicious. This cautious strategy displays its precedence on minimizing danger, even when it means including an additional layer of overview. 

Danger scoring is designed for thoroughness, analyzing complicated occasion knowledge to flag potential points. Some customers famous that this depth can gradual processing with very giant datasets and wished for extra transparency in how scores are calculated.

Nonetheless, most reviewers emphasised that Sift integrates seamlessly with e-commerce platforms and fraud overview workflows, putting a stability between robust fraud prevention and minimal checkout friction. Sift looks like the suitable match for companies that need adaptive, machine studying–pushed fraud detection with excessive accuracy, and like a barely extra conservative strategy to danger.

What I dislike about Sift:

• Some reviewers talked about that Sift can lean on the cautious facet, often flagging official buyer conduct as suspicious. Whereas this may increasingly add an additional step for overview, many most well-liked this over the chance of fraudulent transactions slipping by way of. 
• A handful of customers talked about that when working with notably giant datasets, load occasions could possibly be slower.

What G2 customers dislike about Sift:

“Whereas the core performance is stable, debugging and observability could possibly be improved. It’s typically unclear when or why sure attributes are dropped or rejected, and there’s restricted visibility into how particular occasions contribute to a consumer’s rating. Moreover, a beforehand obtainable setting that allowed workflows to be configured to all the time execute or conditionally execute is not current. That characteristic was worthwhile for testing and tuning workflows, and its absence makes it tougher to confidently management execution logic. Bringing again that stage of management — together with higher event-level logging — would considerably enhance developer and analyst expertise.” 

– Sift overview, Jaya B.

Mastercard Id Assessment 360, previously often known as Ekata, is constructed for real-time id verification and cost danger evaluation, serving to retailers and monetary establishments cut back fraud at checkout. It’s particularly standard in monetary providers, which characterize 35% of its consumer base on G2 opinions.

Reviewers praised how simply it pulls collectively key id indicators like cellphone numbers, e-mail addresses, IPs, and bodily areas into one view. Many highlighted its worth in flagging dangerous transactions, particularly by surfacing unfavourable attributes linked to a buyer’s digital footprint. 

The interface was constantly described by reviewers as clear, easy, and intuitive, making it straightforward for fraud investigators to maneuver rapidly throughout handbook opinions. Customers appreciated that looking for and cross-checking knowledge, whether or not it was an IP handle, e-mail, or cellphone quantity, could possibly be finished in only a few clicks. This pace and ease of navigation meant investigations may proceed with out pointless back-and-forth between techniques.

What actually stood out within the suggestions was the breadth and depth of Mastercard Id Assessment 360’s id knowledge. Reviewers repeatedly famous how the platform brings collectively a number of verification indicators like system knowledge, location, and community data right into a single, consolidated view. This not solely helps affirm addresses and confirm cellphone or e-mail possession but additionally surfaces unfavourable danger attributes which may in any other case be missed.

In keeping with G2 Knowledge, 96% of customers rated its Fraud Detection and Transaction Scoring options extremely, underscoring its accuracy and effectiveness in mitigating id theft and lowering fraudulent funds.

Some customers talked about that knowledge factors in outcomes can embrace overlapping particulars, corresponding to repeated community indicators, which at occasions makes it tougher to zero in on essentially the most related insights. Nonetheless, industries with excessive compliance necessities, like monetary providers or cybersecurity, typically worth this stage of redundancy, because it offers added assurance and a number of factors of validation.

The platform delivers robust cellphone and handle knowledge protection in core areas, notably throughout English-speaking markets. Increasing to worldwide searches might require further enrichment, however this targeted strategy ensures excessive accuracy the place demand is strongest.

Regardless of these one-off feedback, most reviewers constantly described Mastercard Id Assessment 360 as dependable and correct for day-to-day fraud prevention, making it a trusted alternative for retailers and monetary establishments.

What I dislike about Mastercard Id Assessment 360:

• Whereas it usually works properly, sure knowledge factors within the outcomes can really feel a bit repetitive, like overlapping community indicators.
• Just a few felt that cellphone and handle knowledge protection could possibly be broadened, notably for worldwide areas. Whereas it performs properly in core markets, an expanded international attain would make it much more versatile.

What G2 customers dislike about Mastercard Id Assessment 360:

“There are cases whenever you seek for a particular quantity, and it’ll not present any end result.”

– Mastercard Id Assessment 360 overview, Kriezl Angeleen Q.

Signifyd is constructed for retailers who need fraud safety backed by a monetary assure. It’s a preferred alternative for e-commerce companies that course of high-value orders as a result of it reduces handbook opinions and absorbs the price of chargebacks on permitted transactions. On G2, it’s rated 4.6/5, with 94% of customers score its fraud detection and system monitoring options as glorious.

Some of the highlighted strengths in G2 opinions was its automation and assured chargeback safety. Retailers talked about how Signifyd offers them the arrogance to approve extra orders with out worrying about fraud legal responsibility. Customers additionally beloved that it reduces false declines, which instantly interprets to larger income. 

One other main plus was the way it streamlines fraud opinions, liberating up groups from handbook checks and dashing up achievement. Reviewers stated Signifyd’s automated selections cowl the overwhelming majority of orders, with solely edge instances routed for overview, so ops groups spend much less time triaging and extra time delivery. A number of famous that clearer cross/fail indicators and easy overview queues made day-to-day workflows less complicated.

Past that, many reviewers praised its clever filtering between real prospects and unhealthy actors, which improved acceptance charges whereas sustaining safety. Customers highlighted that repeat, reliable patrons are acknowledged extra reliably, whereas dangerous patterns, like mismatched particulars or uncommon system conduct, are flagged early. This stability exhibits up in fewer false declines alongside tighter management of suspect orders. 

The seamless integrations with cost processors, e-commerce platforms, and real-time fraud alerts have been additionally incessantly talked about, making it straightforward for companies to behave rapidly with out disrupting checkout flows. A number of customers highlighted that these integrations, mixed with automation, reduce down on repetitive duties and freed up fraud groups to give attention to extra complicated instances.

I additionally observed a number of appreciation for its assist group and user-friendly interface. Retailers described the dashboard as clear and simple to navigate, with danger scores and determination outcomes displayed clearly so groups may act rapidly with out digging by way of layers of experiences. Reviewers stated the format made it easy to see which orders have been secure to approve, which wanted overview, and why, chopping down on coaching time for brand new employees.

Groups valued how Signifyd helps with cost disputes, dealing with buyer claims, and resolving points with out requiring retailers to assemble in depth proof. This gave employees extra time to give attention to development relatively than admin work.

The system is deliberately cautious, prioritizing fraud prevention by flagging any exercise that seems uncommon. Just a few customers famous that this will often embrace official prospects, however they appreciated that the strategy errs on the facet of safety relatively than risking fraudulent exercise slipping by way of. 

The interface is optimized for each desktop and cell, giving customers the flexibleness to work throughout gadgets. Some famous that the expertise can really feel barely inconsistent between the 2, which can be necessary for groups that count on a wonderfully unified design throughout platforms.

Total, Signifyd is a powerful match for on-line retailers who need fraud safety that goes past detection, providing assured protection and automation that improves each safety and gross sales.

What I dislike about Signifyd:

• Some reviewers famous occasional false positives, the place even trusted prospects would possibly get flagged as suspicious. Nonetheless, they appreciated that the system errs on the facet of warning, lowering the chance of fraudulent orders slipping by way of.
• Whereas Signifyd is optimized for each cell and desktop, the expertise can really feel barely inconsistent between the 2.

What G2 customers dislike about Signifyd:

“The worth would more than likely be my main objection; the charges on extraordinarily low common order companies or these with intently margined companies can simply add up.”

– Signifyd overview, Frank M.   

ClearSale is designed for retailers who need fraud detection backed by human analyst overview, and the information exhibits it’s trusted by a variety of companies. In keeping with G2, 54% of its customers come from the retail business, making it a powerful match for on-line shops with excessive order volumes.

Some of the highlighted strengths in G2 opinions was its ease of integration and setup. Many customers talked about that connecting ClearSale to platforms like Shopify was seamless and required minimal effort. The implementation course of was typically described as clean, even for non-technical groups, which meant retailers may begin defending transactions with out lengthy delays.

Retailers additionally valued the peace of thoughts from the chargeback protection characteristic. If ClearSale approves an order and it later ends in a chargeback, the platform reimburses the service provider. Reviewers stated this security web not solely saves time but additionally boosts confidence in approving borderline orders.

Past that, ClearSale’s hybrid strategy of automated checks plus handbook overview got here up repeatedly in suggestions. Customers felt this stability considerably lowered false declines, guaranteeing official prospects weren’t turned away. Reviewers additionally talked about that it frees up inside groups from time-consuming fraud checks, permitting them to give attention to gross sales, achievement, and customer support.

I additionally observed a number of reward for its responsive, hands-on assist group. A number of reviewers stated questions have been answered rapidly and that assist brokers typically adopted up proactively to ensure any setup or overview points have been totally resolved. This stage of responsiveness made retailers really feel well-supported, particularly throughout busy gross sales durations.

Many opinions additionally famous the operational effectivity positive factors ClearSale offers. By precisely figuring out official patrons with out including extreme delays, the platform helps streamline order processing whereas sustaining robust fraud controls.

The system is designed to fastidiously overview orders for accuracy and compliance, which some reviewers famous can take longer throughout peak quantity durations. Whereas this may increasingly often delay same-day achievement, the added scrutiny helps guarantee orders are processed appropriately and securely.

Customer support is broadly praised for being useful and efficient. Just a few reviewers famous that response occasions can often fluctuate, which can matter extra to groups needing instant turnaround, although most nonetheless valued the general high quality of assist.

All issues thought of, ClearSale is a superb match for retailers who desire a stability between automated fraud detection and knowledgeable human overview, with the added reassurance of chargeback protection. It’s rated 4.7/5 on G2, reflecting its robust popularity amongst retailers seeking to shield income with out compromising buyer expertise.

What I dislike about ClearSale:

• Some reviewers famous that order approvals may often take longer throughout peak buying durations, which could delay same-day achievement. Most agreed, nonetheless, that this additional overview time was a part of guaranteeing thorough fraud checks.
• Whereas many praised the responsiveness of ClearSale’s customer support, a couple of talked about that response occasions may fluctuate in sure instances, although total assist high quality remained excessive.

What G2 customers dislike about ClearSale:

“They preserve altering their consumer web site, and though I believe they’re attempting to make it higher total, it is nonetheless typically complicated. Plus, it appears each time I’ve to submit a chargeback to them, the method on their web site has modified. Hopefully, they discover a course of that works properly for everybody quickly.”

– ClearSale overview, Bethany R. 

NoFraud is designed for e-commerce companies that need fraud prevention with out the heavy handbook overview workload. 94% of G2 customers fee its fraud detection and cost verification options positively, whereas 92% of customers fee real-time monitoring and alerts positively, reflecting its reliability in screening transactions with out including friction to the checkout course of.

NoFraud is constructed for retailers who need quick, correct fraud screening with out slowing down order processing, and reviewers say it delivers. In keeping with G2 suggestions, its AI-driven decisioning combines system fingerprinting, geolocation, and behavioral evaluation to evaluate transactions immediately, with over 99% of choices made in actual time. Retailers famous that this automation saved their groups hours of handbook opinions every week, letting them give attention to achievement and development.

One of many greatest standouts in opinions was its hybrid strategy: when transactions present combined danger indicators, they’re escalated to an analyst for handbook overview. Customers praised this stability of AI pace and human oversight for lowering false declines and catching refined fraud makes an attempt that automated techniques would possibly miss.

Integration was one other spotlight. Retailers stated connecting NoFraud to platforms like Shopify, WooCommerce, and BigCommerce was seamless and required minimal technical work, making it straightforward so as to add strong safety with out disrupting current workflows.

Reviewers known as out a transparent, easy-to-read dashboard and customizable reporting that make it easy to see which orders are secure to approve and which want a re-evaluation. A number of talked about the flexibility to make use of blocklists/allowlists and easy standing queues, which helped groups triage sooner and keep organized throughout busy durations. 

A number of opinions additionally emphasised the platform’s ease of use and responsive assist group. The Assist Heart, onboarding steering, and clear reporting instruments made it easy for groups to get began, even with out devoted fraud specialists. Many famous that NoFraud offered peace of thoughts throughout busy gross sales durations, like Black Friday or product launches, serving to them confidently approve extra orders with out worrying about chargebacks slipping by way of. 

A number of retailers described NoFraud as a low-maintenance, set-and-forget device as soon as configured, typically noting it felt stronger than native platform fraud alerts and required minimal ongoing tuning to maintain tempo with day-to-day order quantity.

Onboarding is supported with clear sources and verification steps that assist guarantee accounts are arrange securely. Just a few reviewers talked about that restricted entry to stay assist and occasional confusion from verification emails may gradual the method, which can be extra noticeable for groups in search of a extremely hands-on begin. Some stated transactions additionally took longer to overview throughout peak durations, although most agreed this was the trade-off for thorough checks. 

The approval standards are deliberately strict to guard in opposition to fraud, making use of constant requirements even in instances like VPN utilization or low-history emails. Just a few customers urged extra flexibility and the choice for proactive human overview throughout essential gross sales spikes, although the present strategy prioritizes safety and uniformity.

All issues thought of, NoFraud is a powerful match for on-line retailers who desire a streamlined, AI-powered fraud prevention answer with the reassurance of human oversight when it issues most.

What I dislike about NoFraud:

• Throughout peak durations or high-volume gross sales occasions, a couple of reviewers famous that some orders might take longer to overview or confirm. Whereas this will introduce slight delays, many felt the additional diligence was price it to make sure correct fraud checks.
• Some customers talked about they’d prefer to see extra versatile approval standards, corresponding to how VPN utilization or low-history emails are handled, and urged having proactive human overview throughout main promotions to maintain official high-value orders transferring sooner.

What G2 customers dislike about NoFraud:

“The one draw back, which is unavoidable with ANY fraud software program, is the potential for false flags, the place a ‘good’ buyer’s order is cancelled. These are uncommon, however do occur, and are straightforward sufficient to resolve instantly with that buyer. There are alternatives to whitelist good prospects (or blacklist if essential).”

 – NoFraud overview, Rob S.

SEON. Fraud Fighters is designed for companies that need modular fraud prevention instruments with deep knowledge enrichment capabilities, and the opinions mirror that versatility. It’s standard amongst groups managing high-risk consumer flows and on the lookout for versatile APIs to customise fraud guidelines to their particular wants. 

On G2, SEON is rated 4.6/5, with 94% of customers score its real-time monitoring and transaction scoring options extremely, outperforming the class common. Reviewers say this interprets into faster approvals for good prospects, fewer handbook opinions, and extra confidence in tuning guidelines over time, because the scoring is constant and explainable throughout day-to-day order volumes and spikes.

Some of the highlighted strengths in G2 opinions was its breadth of information insights. Customers talked about how SEON. can pull an enormous quantity of worthwhile data — even from minimal consumer attributes — masking every part from system fingerprints and IP knowledge to social media and e-mail popularity. 

Many reviewers praised SEON’s customizable guidelines engine, which permits groups to fine-tune fraud detection settings to match their distinctive danger profiles. They appreciated with the ability to adapt thresholds, scoring, and triggers over time with no need fixed developer enter.

Past customization, customers valued its flexibility to function in each stay decisioning and post-transaction evaluation modes. For some retailers, this meant immediately approving or declining transactions in actual time, whereas others used it as a deeper investigative device to uncover new or rising fraud patterns.

The platform’s integration capabilities have been additionally a recurring spotlight. Companies discovered it easy to attach SEON. into their current tech stacks, from cost gateways to CRMs, guaranteeing fraud checks occur seamlessly within the background with out disrupting operations.

One other energy that got here up repeatedly was its means to assist ongoing fraud prevention alongside preliminary KYC checks. Reviewers famous that the identical instruments used for transaction screening may additionally confirm buyer identities, including one other layer of safety and compliance with out additional software program.

I additionally noticed a number of appreciation for its user-friendly interface and clean UX, although it’s filled with knowledge factors. Many reviewers stated SEON strikes a stability between superior performance and approachable design, making it helpful for each technical and non-technical groups. 

They famous that further best-practice examples or hands-on onboarding classes may make it even simpler to maximise the platform’s capabilities from day one.

The platform offers entry to a big quantity of information, giving groups complete visibility. Some customers famous that it may take time to find out which insights are most related, however this breadth ensures that key indicators can be found when wanted.

The system is deliberately cautious, typically flagging false positives that require a re-evaluation. Whereas this provides an additional overview step, it reinforces safety in opposition to danger. Just a few customers additionally urged extra frequent proactive assist touchpoints, which may additional streamline the expertise.

All issues thought of, SEON. Fraud Fighters is a superb match for companies that want versatile fraud prevention with wealthy knowledge insights and customizable workflows, whereas nonetheless holding the platform intuitive to make use of.

What I dislike about SEON. Fraud Fighters:

• Some reviewers famous that SEON offers an enormous quantity of information, which may really feel a bit of overwhelming at first. Nonetheless, most stated that when they turned conversant in the interface, it turned simpler to give attention to essentially the most related indicators.
• There have been a couple of mentions of uncommon false positives and a want for extra proactive assist touchpoints over time, however customers usually felt these have been minor concerns in comparison with the platform’s total fraud detection accuracy.

What G2 customers dislike about SEON. Fraud Fighters:

“Whereas SEON is a strong device, the preliminary setup and customization could be a bit overwhelming for brand new customers with out technical backgrounds. Moreover, some superior options may benefit from extra in-depth documentation or onboarding assist.” 

– SEON. Fraud Fighters overview, Dencho C.

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