I Reviewed the 6 Greatest E-Commerce Fraud Safety Instruments

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

Fraudulent chargebacks, pretend accounts, and stolen cost strategies don’t simply eat into revenue margins; they drain operational assets, 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 fitting fraud prevention answer now, or danger long-term harm to profitability and model belief.

When you’re selecting an e-commerce fraud safety software program, you want greater than a characteristic guidelines. You want a brief record backed by actual consumer expertise, efficiency knowledge, and enterprise impression. That’s why I’ve analyzed verified G2 evaluations and feature-level scores to establish six of the very best e-commerce fraud safety software program that don’t simply detect fraud, however actively defend income whereas retaining buyer expertise easy.

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 allow you to evaluate choices aspect by aspect and choose the one that most closely fits your danger profile and progress targets.

6 greatest 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 easy checkout expertise for real buyers.

I discovered these platforms particularly useful for decreasing 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 totally 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 steadiness it affords between safety and consumer expertise. Be conscious that some instruments prioritize aggressive fraud blocking, which might inadvertently decline professional prospects, so selecting software program with clear danger scoring and adaptive machine studying fashions is vital.

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

Not each fraud prevention software is constructed for a similar degree of safety. Some simply flag dangerous orders, whereas others present layered identification checks, dynamic danger scoring, and even chargeback ensures. To slim it down, I centered on platforms that ship actual fraud prevention worth with out hurting the patron expertise.

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

• Accuracy and false constructive discount: The perfect fraud prevention platforms strike the fitting steadiness between blocking fraudulent orders and approving professional ones. I prioritized instruments with machine studying fashions that adapt over time and reduce false declines, as turning away real prospects can price greater than fraud itself.
• Actual-time detection and dynamic danger scoring: Pace is vital in e-commerce. I appeared for options that immediately analyze transactions, consumer conduct, and machine alerts to assign a danger rating. Actual-time choices scale back handbook evaluations and make sure the checkout circulate isn’t delayed for trustworthy buyers.
• 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 accepted 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 common cost processors. Simple integration reduces setup time and ensures fraud checks occur with out disrupting workflows.
• World protection and multi-layered identification verification: For on-line shops promoting internationally, fraud dangers enhance with cross-border orders. I appeared for instruments that mix behavioral analytics with layered identification checks (like machine fingerprinting, e-mail evaluation, and geolocation) to validate consumers throughout totally different areas.
• Customizable guidelines and scalability: Fraud patterns range 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 retailers and enterprise retailers scored larger on my record.
• Reporting, analytics, and transparency: A fraud software shouldn’t be a black field. I valued platforms that supply clear reporting dashboards, explainable danger choices, 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 greatest 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 greatest on-line fraud safety software program for startups. Let’s take a better have a look at what every software is greatest for.

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

• Present algorithms to watch for attainable fraudulent or high-risk on-line exercise
• Outline guidelines to establish and analyze suspicious e-commerce buying conduct
• Embody workflows to overview, approve, or decline high-risk e-commerce transactions
• Adjust to laws to forestall on-line fraud and defend delicate data
• Ship studies and insights on reviewed transactions, chargebacks, and false declines

*This knowledge was pulled from G2 in 2025. Some evaluations 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, quicker choices. With a 4.6/5 score on G2, it’s a trusted selection for groups trying to keep forward of evolving fraud ways.

Many customers highlighted Sift’s ease of use and easy setup, even for non-technical groups. Reviewers appreciated that implementation didn’t require heavy technical experience, and groups might stand up and operating shortly. 

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

Sift’s real-time decision-making was one other recurring theme. Danger groups valued that they may instantly act on suspicious orders with out ready for batch evaluations, which meant fraudsters had much less time to use 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 response to 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 evaluations known as out the alerting options, which proactively flag suspicious transactions earlier than they escalate into expensive points. Documentation and help earned frequent mentions as effectively, with customers saying that onboarding and day-to-day troubleshooting had been fast and hassle-free.

Sift is constructed with a robust deal with safety, which some customers famous can often end in professional 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 advanced 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, placing a steadiness between robust fraud prevention and minimal checkout friction. Sift appears like the fitting 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 aspect, often flagging professional buyer conduct as suspicious. Whereas this may occasionally add an additional step for overview, many most popular 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 strong, 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 out there setting that allowed workflows to be configured to at all times execute or conditionally execute is now not current. That characteristic was precious for testing and tuning workflows, and its absence makes it more durable to confidently management execution logic. Bringing again that degree 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 called Ekata, is constructed for real-time identification verification and cost danger evaluation, serving to retailers and monetary establishments scale back fraud at checkout. It’s particularly common in monetary providers, which characterize 35% of its consumer base on G2 evaluations.

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

The interface was constantly described by reviewers as clear, easy, and intuitive, making it simple for fraud investigators to maneuver shortly throughout handbook evaluations. Customers appreciated that trying to find and cross-checking knowledge, whether or not it was an IP tackle, e-mail, or telephone quantity, could possibly be achieved in just some clicks. This pace and ease of navigation meant investigations might proceed with out pointless back-and-forth between programs.

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

In response to G2 Knowledge, 96% of customers rated its Fraud Detection and Transaction Scoring options extremely, underscoring its accuracy and effectiveness in mitigating identification theft and decreasing fraudulent funds.

Some customers talked about that knowledge factors in outcomes can embody overlapping particulars, similar to repeated community alerts, which at occasions makes it more durable to zero in on probably the most related insights. Nonetheless, industries with excessive compliance necessities, like monetary providers or cybersecurity, typically worth this degree of redundancy, because it gives added assurance and a number of factors of validation.

The platform delivers robust telephone and tackle knowledge protection in core areas, notably throughout English-speaking markets. Increasing to worldwide searches might require extra enrichment, however this centered 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 selection for retailers and monetary establishments.

What I dislike about Mastercard Id Assessment 360:

• Whereas it typically works effectively, sure knowledge factors within the outcomes can really feel a bit repetitive, like overlapping community alerts.
• A number of felt that telephone and tackle knowledge protection could possibly be broadened, notably for worldwide areas. Whereas it performs effectively in core markets, an expanded world attain would make it much more versatile.

What G2 customers dislike about Mastercard Id Assessment 360:

“There are situations if you seek for a selected quantity, and it’ll not present any outcome.”

– 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 well-liked selection for e-commerce companies that course of high-value orders as a result of it reduces handbook evaluations and absorbs the price of chargebacks on accepted transactions. On G2, it’s rated 4.6/5, with 94% of customers score its fraud detection and machine monitoring options as glorious.

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

One other main plus was the way it streamlines fraud evaluations, liberating up groups from handbook checks and rushing up achievement. Reviewers stated Signifyd’s automated choices 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 move/fail alerts 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 consumers are acknowledged extra reliably, whereas dangerous patterns, like mismatched particulars or uncommon machine conduct, are flagged early. This steadiness reveals 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 had been additionally continuously talked about, making it simple for companies to behave shortly with out disrupting checkout flows. A number of customers highlighted that these integrations, mixed with automation, lower down on repetitive duties and freed up fraud groups to deal with extra advanced instances.

I additionally seen plenty of appreciation for its help workforce and user-friendly interface. Retailers described the dashboard as clear and straightforward to navigate, with danger scores and resolution outcomes displayed clearly so groups might act shortly with out digging by way of layers of studies. Reviewers stated the structure made it easy to see which orders had been protected to approve, which wanted overview, and why, slicing 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 deal with progress reasonably than admin work.

The system is deliberately cautious, prioritizing fraud prevention by flagging any exercise that seems uncommon. A number of customers famous that this will often embody professional prospects, however they appreciated that the strategy errs on the aspect of safety reasonably than risking fraudulent exercise slipping by way of. 

The interface is optimized for each desktop and cellular, giving customers the pliability to work throughout units. Some famous that the expertise can really feel barely inconsistent between the 2, which can be necessary for groups that anticipate a superbly unified design throughout platforms.

General, Signifyd is a robust 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 aspect of warning, decreasing the chance of fraudulent orders slipping by way of.
• Whereas Signifyd is optimized for each cellular and desktop, the expertise can really feel barely inconsistent between the 2.

What G2 customers dislike about Signifyd:

“The value would more than likely be my main objection; the charges on extraordinarily low common order companies or these with carefully 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 info reveals it’s trusted by a variety of companies. In response to G2, 54% of its customers come from the retail business, making it a robust match for on-line shops with excessive order volumes.

Some of the highlighted strengths in G2 evaluations 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 easy, even for non-technical groups, which meant retailers might 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 leads to 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 steadiness considerably diminished false declines, guaranteeing professional prospects weren’t turned away. Reviewers additionally talked about that it frees up inside groups from time-consuming fraud checks, permitting them to deal with gross sales, achievement, and customer support.

I additionally seen plenty of reward for its responsive, hands-on help workforce. A number of reviewers stated questions had been answered shortly and that help brokers typically adopted up proactively to ensure any setup or overview points had been totally resolved. This degree of responsiveness made retailers really feel well-supported, particularly throughout busy gross sales durations.

Many evaluations additionally famous the operational effectivity good points ClearSale gives. By precisely figuring out professional consumers 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 occasionally often delay same-day achievement, the added scrutiny helps guarantee orders are processed accurately and securely.

Customer support is broadly praised for being useful and efficient. A number of reviewers famous that response occasions can often range, which can matter extra to groups needing rapid turnaround, although most nonetheless valued the general high quality of help.

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

What I dislike about ClearSale:

• Some reviewers famous that order approvals might often take longer throughout peak procuring durations, which could delay same-day achievement. Most agreed, nevertheless, that this further overview time was a part of guaranteeing thorough fraud checks.
• Whereas many praised the responsiveness of ClearSale’s customer support, a number of talked about that response occasions might range in sure instances, although general help high quality remained excessive.

What G2 customers dislike about ClearSale:

“They hold altering their consumer web site, and though I believe they’re making an attempt to make it higher general, 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 effectively 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 price its fraud detection and cost verification options positively, whereas 92% of customers price 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 response to G2 suggestions, its AI-driven decisioning combines machine 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 evaluations every week, letting them deal with achievement and progress.

One of many greatest standouts in evaluations was its hybrid strategy: when transactions present blended danger alerts, they’re escalated to an analyst for handbook overview. Customers praised this steadiness of AI pace and human oversight for decreasing false declines and catching subtle fraud makes an attempt that automated programs 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 simple so as to add sturdy 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 protected to approve and which want a re-evaluation. A number of talked about the power to make use of blocklists/allowlists and easy standing queues, which helped groups triage quicker and keep organized throughout busy durations. 

A number of evaluations additionally emphasised the platform’s ease of use and responsive help workforce. The Assist Heart, onboarding steerage, and clear reporting instruments made it easy for groups to get began, even with out devoted fraud specialists. Many famous that NoFraud supplied 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 software 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 assets and verification steps that assist guarantee accounts are arrange securely. A number of reviewers talked about that restricted entry to dwell help and occasional confusion from verification emails might 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. A number of customers urged extra flexibility and the choice for proactive human overview throughout vital gross sales spikes, although the present strategy prioritizes safety and uniformity.

All issues thought of, NoFraud is a robust 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 number 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, similar to how VPN utilization or low-history emails are handled, and urged having proactive human overview throughout main promotions to maintain professional high-value orders shifting quicker.

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 simple sufficient to resolve immediately with that buyer. There are alternatives to whitelist good prospects (or blacklist if mandatory).”

 – NoFraud overview, Rob S.

SEON. Fraud Fighters is designed for companies that need modular fraud prevention instruments with deep knowledge enrichment capabilities, and the evaluations replicate that versatility. It’s common amongst groups managing high-risk consumer flows and searching 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 evaluations, and extra confidence in tuning guidelines over time, for the reason that scoring is constant and explainable throughout day-to-day order volumes and spikes.

Some of the highlighted strengths in G2 evaluations was its breadth of knowledge insights. Customers talked about how SEON. can pull an enormous quantity of precious data — even from minimal consumer attributes — overlaying every little thing from machine fingerprints and IP knowledge to social media and e-mail status. 

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 having the ability to adapt thresholds, scoring, and triggers over time without having fixed developer enter.

Past customization, customers valued its flexibility to function in each dwell 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 software to uncover new or rising fraud patterns.

The platform’s integration capabilities had 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 help ongoing fraud prevention alongside preliminary KYC checks. Reviewers famous that the identical instruments used for transaction screening might additionally confirm buyer identities, including one other layer of safety and compliance with out further software program.

I additionally noticed plenty of appreciation for its user-friendly interface and easy UX, despite the fact that it’s full of knowledge factors. Many reviewers stated SEON strikes a steadiness between superior performance and approachable design, making it helpful for each technical and non-technical groups. 

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

The platform gives entry to a big quantity of knowledge, giving groups complete visibility. Some customers famous that it may possibly take time to find out which insights are most related, however this breadth ensures that key alerts 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. A number of customers additionally urged extra frequent proactive help touchpoints, which might 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 retaining the platform intuitive to make use of.

What I dislike about SEON. Fraud Fighters:

• Some reviewers famous that SEON gives an unlimited quantity of knowledge, which might really feel somewhat overwhelming at first. Nonetheless, most stated that after they turned accustomed to the interface, it turned simpler to deal with probably the most related alerts.
• There have been a number of mentions of uncommon false positives and a want for extra proactive help touchpoints over time, however customers typically felt these had been minor concerns in comparison with the platform’s general fraud detection accuracy.

What G2 customers dislike about SEON. Fraud Fighters:

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

– SEON. Fraud Fighters overview, Dencho C.

When you’re trying to strengthen your retailer’s general defenses, take a look at the greatest web site safety software program to safeguard in opposition to breaches, malware, and different cyber dangers.