Fraud ManagementHow to Limit Your Exposure to Risk & Find a Provider You Can Count On

Louise O'Neill | November 26, 2025 | 25 min read

This featured video was created using artificial intelligence. The article, however, was written and edited by actual payment experts.

What is fraud management?

In a Nutshell

Every business needs a plan to detect and stop fraud. There’s a lot you need to consider before getting started, though. This article will cover everything you need to know about fraud management, including why you need it, what your strategy should include, and which providers are right for your business.

The Top 10 Fraud Management Service Providers for 2026 & Beyond

With the internet at your disposal, you have greater access to eager consumers than ever before. Shoppers from around the globe can easily become regular customers. The world is your marketplace.

There’s a downside here, though: fraudsters can get to you just as easily as legitimate customers.

That’s why managing online fraud is your #1 priority as an eCommerce merchant. After all, the stakes are high: Americans alone lost $16.6 billion to scams in 2024, and nearly three in four US adults said they had been a victim of online fraud. And, thanks to easily accessible artificial intelligence technologies that allow bad actors to easily create deepfakes and synthetic identities, this problem is only going to get worse.

You can’t ignore this surge in fraud activity. Something needs to be done. But, like many merchants, you may not even know what options are available. Read on and we’ll explore this topic, and show you how to assemble the right fraud management strategy for your business.

What is Fraud Management?

Fraud Management

[noun]/frôd • man • ij • mənt/

Fraud management refers to an overarching strategy designed to identify and block potential online fraud. A comprehensive fraud management strategy also allows merchants to prevent future fraud occurrences and recover revenue lost to fraudsters.

The scope and reach of eCommerce means crooks can attack almost anywhere. At the same time, online anonymity makes validating the buyer’s identity very difficult. All things considered, it’s no wonder we’re seeing such a massive surge in fraud reports.

An effective online fraud management solution must address the problem from multiple angles. In addition to recognizing and understanding different threat sources, you’ll need to know which prevention and response methods work best in each situation. 

You’ll also need the ability to track down the true sources of fraud. This can be much more complicated than it sounds.

Three Core Fraud Management Challenges That Every Merchant Faces

Practicing fraud management means towing a fine line. On one hand, you’re trying to stop bad actors from harming your business and victimizing legitimate customers. On the other, you don’t want to introduce so much friction that you turn away legitimate buyers.

For this reason, you need to constantly measure and re-calibrate. If you tighten security too much, you lose revenue to false declines; if you loosen it, you lose revenue to fraud. To stay in this delicate “Goldilocks zone,” you’ll need to address these three challenges:

Core Fraud Management Challenges #1

Challenge #1: The False Decline Problem

Chargebacks are costly at face value, but accidentally insulting and turning away legitimate customers because your fraud filters are too aggressive can also cost you an immeasurable amount of revenue, not to mention long-term reputational harm.

Obviously, we’re not saying that you should remove all friction and make your online store a free-for-all for fraudsters. But, it bears mentioning that over-vigilance has its costs, too.

Did You Know?

According to one estimate, false declines cause merchants to lose more than 75 times more revenue than fraud itself.

Core Fraud Management Challenges #2

Challenge #2: First-Party vs. Third-Party Fraud

Treating all fraud the same is a recipe for failure because solutions depend widely on the source.

Third-party fraud tactics like synthetic identity theft, card testing, or account takeover fraud can be combatted with measures like biometric authentication or velocity checks. First-party fraud, which encompasses tactics like friendly fraud and return fraud, however, comes from your actual customers.

In the latter case, tools designed to stop hackers won’t stop a legitimate customer from claiming they never received a package they regret buying. That’s why you need to take a completely different approach. To combat first-party fraud, you’ll need to improve your eCommerce return policy and invest in solutions that help you automate chargeback management and responses.

Core Fraud Management Challenges #3

Challenge #3: Measuring Success Without Clear Metrics

A lot of merchants lack a control group for their fraud strategy. They’re essentially “flying blind.” If you block a transaction, you rarely know for certain if it was truly fraudulent or a false positive (unless the customer complains, of course).

The absence of a feedback loop makes it difficult to measure the ROI of your fraud tools. After all, metrics that measure your fraud rates only tell part of the story. The fuller picture comes from approval efficiency metrics that measure how much good revenue you’re capturing relative to the friction you’re introducing.

The Benefits of Effective Fraud Management 

A robust fraud management system should leverage technologies like machine learning. This can greatly enhance an organization's efficiency and reduce risk by detecting fraud patterns in real-time with less human intervention. 

Though some manual review will still be necessary, automated systems can greatly decrease time spent on this task. This will elevate team productivity significantly.

Your fraud management strategy may encompass:

Data Enrichment

Speeds up onboarding with user-submitted data to provide a clear picture of new platform users.

Flexible Integration

Select systems that can effortlessly blend with your current stack and accommodate additional tools in the future. Look for solutions offering API integrations for tailored needs.

Customizable Parameters

Create custom rules to improve fraud prevention. These rules allow for adaptation to new threats and help in identifying specific, non-standard attacks.

Limited Friction

Data enrichment and other checks can ensure a fast, frictionless, and adaptable user experience. Dynamic friction can be managed by using risk scores to decide who to ask for further verification.

Machine Learning (ML)

A machine learning algorithm can help scale your efforts to counter more frequent and sophisticated attacks by updating or suggesting new rules.

Risk Scoring

Risk scores, calculated through predefined rules, are essential indicators. They allow for very simple, up-or-down decisioning based on preset parameters.

Real-Time Results

Timely detection of fraud is critical to prevent loss of goods, heavy chargeback rates, regulatory non-compliance, and fines.

Lastly, an effective fraud management system must ensure inter-departmental collaboration through a centralized interface. It should allow team members with varying permission levels to coordinate and implement anti-fraud strategies.

5 Key Components of Your Fraud Management Strategy

In the last section, we explained the main benefits of having a fraud prevention system. But, what are the first steps for building an effective, comprehensive fraud management strategy for your organization?

Here are the five key components you’ll need to prioritize in order to detect and manage risk:

Risk Assessment

Begin by identifying your organization's vulnerabilities. An in-depth risk analysis based on your unique profile, accounting for scale, products, market exposure, etc., helps in identifying all potential risks. You can then gauge their likelihood and associated costs. Employee interaction with company resources and external threats should be considered, especially in data-intensive organizations.

Establish a risk-tolerance limit based on this to form a cost-effective strategy. Remember to focus on risks that could cause the most significant damage, but also, to account for threats that may develop in the future.

Risk Governance

Fraud management must be ingrained in your company culture. Incorporate a clear strategy for education and enforcement, designate roles, ensure robust whistleblowing and reporting procedures, and implement quality assurance measures. The strategy should also define the investigation process, corrective actions, fraud awareness tools, access governance software to strengthen data security, and research on market prevention technologies.

Designate a leader or team for managing the entire fraud risk program. This party should be responsible for communication, training, and necessary adjustments.

Risk Detection

Install alert systems across the organization and ensure employee awareness about their functioning. Reports, detailing all relevant information, can highlight fraudulent behavior. 

Develop a procedure for employees to flag detected fraud while safeguarding sensitive consumer information.

Risk Prevention

Deploying early-stage fraud detection tools is a key prevention strategy.

Verify identities via thorough background checks and multi-factor authentication to stop fraud before it infiltrates your organization. Frequent risk assessments, clear internal controls, and employee education are necessary for proactive fraud prevention. Also note that risk may be eliminated or transferred through methods such as insurance.

Monitoring & Reporting

Fraud management is an ongoing process requiring regular monitoring and reporting. Measure the effectiveness of the strategy, communicate the results transparently, and adjust accordingly. Always stay in compliance with legal rights and applicable laws by conducting regular reviews.

Chargeback prevention is a key component of any fraud management strategy.

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In-House vs. Outsourced Fraud Management

The typical first response to fraud management is an attempt to use in-house resources. That’s a good starting point, as an in-house strategy can usually address easy-to-manage issues. It can clear out the “low-hanging fruit,” as it were.

Proponents of in-house management point out that their method is more cost-effective. They also argue that in-house fraud management allows them to react faster to situational changes and puts the process in the hands of people most familiar with the business.

There is some truth to this argument. However, fraud management is a multifaceted process. Requirements can vary dramatically according to industry, risk level, and other factors. A strategy that works for one merchant might be a complete bust for you. 

Also, an in-house management department has several strikes against it right from the start:

Fraud Management

Cost Inefficiency

From the outside, fraud management DIYers seem to save money by using existing resources and eliminating fees. But wouldn’t your people be better utilized in other revenue-generating areas? The lack of efficiency here could ultimately cost you more than hiring professional providers.
Fraud Management

Lack of Reporting Transparency

Without transparent, in-depth reporting, it’s hard to know how much your fraud management actually costs or how much return on investment to expect. In-house profit and loss assessment typically lacks the kind of cost transparency that fraud management tools bring to the mix.
Fraud Management

Not Agile

Fraud doesn’t remain static. Techniques and technologies are constantly evolving. In-house teams may be able to recognize and adjust to new fraud and chargeback patterns, but usually not until after the fact. They can’t proactively put preventative measures in place.
Fraud Management

Lack of Data Insight

It’s true that no one knows the business better than the people who work it every day. By the same token, though, a fraud expert is daily immersed in the world of chargebacks, fraud, and emerging threats. Unless your people are fraud professionals, they’re going to miss things an expert provider will catch.

From that perspective, it’s easy to understand why outsourcing fraud management is better for many merchants. The benefits should be obvious: professional handling, less stress for you, and a clear and measurable ROI. Outsourced solution providers can adapt more quickly to changing conditions than in-house teams.

Of course, there are still downsides to consider. Some of these include:

Fraud Management

Up-Front Investment

Outsourcing your fraud prevention may require a larger up-front investment than building out an in-house strategy over time. You can’t always ramp up service as you need (or are able) to do so. This could result in you paying for service capacity you’re not using.
Fraud Management

Procedural Transparency

You don’t have as much oversight as you would with an in-house team. Even with detailed reporting, there are certain operations that are going to remain opaque. This can be worrying for those who like to take a “hands-on” approach.
Fraud Management

Over-Automating

There are facets of fraud management that you simply can’t automate. If you rely on a solution provider that promises automated fraud management, it could lead to familiar problems (false positives, failing to identify new fraud sources, etc.).
Fraud Management

Industry-Specific Knowledge

While outsourced fraud managers are experts in fraud, they’re not experts in your business, product mix, or vertical. This absence of industry-specific knowledge means that outsourced providers may lack the context to understand your risk surface the way you do.

Build AND Buy: Leveraging a Multi-Layer Solution

The truth is that you don’t have to limit your options to just one course of action. Instead, ask yourself: Which outsourced products or services would complement your in-house skillset? Which resources would be most useful before or after a transaction?

Allocating different practices to different parties could be the best approach to take. So, when it comes time to outsource to a professional or add various products, what should you look for? 

Here are a few questions to consider:

  • Is it Customizable? No two businesses have the same risk. A, off-the-rack, “one-size-fits-all” automated solution will ultimately be ineffective.
  • What are the guarantees? And what are those guarantees based on?
  • What do you get for your investment? Can you analyze future growth potential well enough to budget accordingly?
  • Are there client testimonials? Are you able to identify current customers who share common practices/products/sales models with you?
  • Is the vendor adaptable and agile? Will their services be sufficient to support future technology and fraud developments?
  • Do they have real-world eCommerce experience? Partnering with providers who know the merchant experience will help minimize risk without compromising growth.

The Fraud Management Maturity Model: Where Do You Stand?

It’s tempting to think of fraud management as a binary switch; something that you either have in place or don’t.

The truth is that managing fraud is a capability that you build over time in layers and stages. Understanding where you fall on the maturity spectrum can help you get an idea of whether you’re putting in too much, just right, or not enough into your fraud management efforts.

This distinction matters. After all, under-investing leaves you vulnerable, while over-investing wastes resources on tools you aren’t ready to use. So, where does your business stand on the spectrum?

Level 1 of Fraud Management Model

Level 1: Basic Protection

At this stage, your fraud filters consist of basic address verification service (AVS) and card verification value (CVV) checks. Manual reviews, meanwhile, are handled by customer service or operations staff rather than fraud specialists.

While this low-cost approach is appropriate for new merchants with low volume, these reactive practices scale poorly. Blanket rulesets indiscriminately block good revenue along with bad and manual reviews become untenable as order volume rises.

Level 2 of Fraud Management Model

Level 2: Intermediate Automation

Merchants at this level can expect to spend several hundred dollars a month on fraud management. Doing so unlocks machine learning and fraud scoring tools that help evaluate risks in real-time, along with the services of a full- or part-time chargeback analyst.

The critical shift from Level 1 to Level 2 is trust in automation; letting fraud decisioning models approve low-risk orders without human intervention. However, friction can remain high at this stage because tools are frequently “bolted on” rather than integrated, which can lead to disjointed customer experiences.

Level 3 of Fraud Management Model

Level 3: Advanced Intelligence

The name of the game at Level 3, which often means a four-figure monthly investment and access to managed solutions, is consortium-level data. By accessing data from millions of transactions across other merchants and combining it with behavioral fraud detection strategies, you can recognize a “good” customer seeing you for the first time because they are known elsewhere in the network.

Further layering on tactics like chargeback guarantees or eCommerce fraud insurance allows you to aggressively approve unknown shoppers without fear of disputes. This can help you significantly boost conversion rates in ways isolated tools can’t match.

Level 4 of Fraud Management Model

Level 4: Optimized Operations

At the peak of maturity, fraud management shifts from a cost center to a revenue driver. By investing tens or hundreds of thousands of dollars in custom machine learning models and omnichannel fraud decisioning, you can reduce friction to near-zero for recognized users while blocking most instances of true fraud. 

The focus here is on invisible security: complex behavioral biometrics and device fingerprinting happen in the background, allowing legitimate customers to buy instantly without hurdles.

Common QuestionHow can I avoid overinvesting?There’s no need to buy your way to Level 4 overnight. The most efficient path is usually to move from Level 1 to Level 2 by implementing plug-and-play, SaaS-based fraud decisioning tool that automates your easiest decisions. Save the expensive, custom AI models for when you reach the scale necessarily to yield positive ROI from implementing more expensive technology.

Your 90-Day Fraud Management Implementation Plan

Implementing a robust fraud strategy can feel overwhelming, but it becomes manageable when broken down into phases. Below, I’ve laid out a roadmap that’ll help you move from assessment to optimization in three distinct phases:

Days 1–7: Assessment Phase

You can’t fix what you don’t measure. During this week, your goal is to audit your existing tools and establish a baseline.

Go beyond your chargeback rate and calculate your true cost of fraud. This includes your cost of goods sold, shipping, chargeback fees, and the manual labor hours spent reviewing orders. Often, merchants discover they are spending $5 in operational costs to stop $1 of fraud; an expenditure that doesn’t hold up to scrutiny from an ROI perspective.

Days 8–30: Foundation Building

This phase is about triage. Past the first week, you’ll want to implement “low-hanging fruit” controls, such as velocity, AVS, and CVV validation at checkout.

Pro tip: set your initial thresholds slightly looser than you think is necessary. It’s better to manually review a few extra orders now than to accidentally block a rush of legitimate sales while you’re still learning the system’s nuances.

Days 31–60: Process Development

Tools need rules, and people need protocols. In this phase, your goal is to develop fraud response playbooks that standardize how your team reacts to alerts. Doing so helps you ensure that your team members are all rowing in one direction.

This stage is also your chance to implement a dispute feedback loop. Ensure that when a chargeback does come through, data is fed back into your front-end rules to prevent similar fraud from penetrating your defenses again.

Days 61–90: Optimization

Now that your defenses are up, it’s time to pivot to efficiency. Review the orders you rejected in the previous month. How many look legitimate in hindsight?

Loosen rules that are catching too many good customers and tighten the ones that let fraud slip through. Remember that optimization is an iterative cycle, rather than a destination. This phase will set the rhythm for how you will review and adjust your strategy every quarter moving forward.

Day 1
Days 1–7
Assessment Phase
Establish a baseline to gauge your current exposure and costs.
  • Audit existing tools
  • Calculate true fraud costs (losses + overhead)
  • Determine false decline rates
Days 8–30
Foundation Building
Stop the bleed with simple solutions designed to produce immediate results.
  • Implement core detection tools
  • Establish velocity and threshold rules
  • Train staff
Days 31–60
Process Development
Ensure consistency and scalability so that your strategy will work long term.
  • Create fraud response playbooks
  • Standardize manual reviews
  • Implement chargeback representment workflows
Days 61–90
Optimization
Iterate to maximize revenue and minimize fraud going forward.
  • Analyze initial data
  • Fine-tune false positive rates
  • Adjust automation parameters
  • Document learnings
Day 90

Justifying Fraud Management Investment

Securing the budget you need for fraud management is often an uphill battle because many finance teams view it strictly as a cost center. To change this narrative, you’ll need to present a compelling calculation demonstrating that every dollar lost to fraud actually costs the business significantly more in downstream expenses. 

By quantifying these hidden drains on profitability, you can shift the conversation from “How much does this cost?” to “How much will this investment yield?

Phase 1: Calculating Your Total Fraud Cost

Remember that your total fraud cost includes more than lost revenue and inventory. Instead, your true cost of fraud includes direct losses, chargeback fees, shipping costs, and the operational drag of manual reviews.

You’ll also need to account for the “insult rate,” or revenue lost to false declines. This can cost merchants significantly more revenue than fraud itself because it permanently truncates customer lifetime value (LTV).

Did You Know?

According to LexisNexis Risk Solutions, every $1 lost to fraud ultimately costs US eCommerce merchants $4.61. This is referred to as the “fraud multiplier effect,” and it reveals the true cost of fraud.

Phase 2: Building the Business Case

Now that you have your formula in place, it’s time to make your case. When presenting to your CFO or finance team, frame fraud management as an ROI-positive initiative.

Compare your calculated true cost of fraud against the cost of proposed solutions. Ideally, this shows a clear break-even point that’s often achievable within months.

You can further strengthen your case by quantifying the risk of inaction. Excessive chargebacks, for example, can result in higher processing fees and involuntary enrollment in punitive merchant monitoring programs. In other words: doing nothing is the most expensive option of all.

Common QuestionWhat should my fraud management budget be?While budgets vary by industry, some general rules of thumb can be a helpful start.

Broadly speaking, small merchants generally allocate 1–2% of revenue to cover basic tools and potential losses. Meanwhile, mid-sized merchants that face higher volumes and more sophisticated attacks should expect to budget 2–3% of revenue towards fraud management.

Enterprise-level merchants that need to manage complex omnichannel risks and deploy custom integrations, may need to budget 3–5% of revenue towards combatting fraud.

Industry-Specific Fraud Management Considerations

Treating all fraud the same is a recipe for failure because the tactics used by criminals — and the behavior of friendly fraudsters — vary widely depending on what you sell.

A strategy that works for a clothing retailer, for example, may fall flat on its face for a software company. To protect your business, you’ll need to identify risk vectors specific to your vertical and deploy targeted countermeasures against them.

So, what do I mean? Below, I’ve spotlighted a couple of product verticals and sales models that tend to see higher-than-average fraud rates, and outlined what you should be looking for.

Digital Goods & Services

Merchants in this vertical face exceptionally high rates of friendly fraud because there is no physical proof of delivery to present during a dispute. Instant deliveries of digital goods also attract third-party fraudsters who want to “cash out” immediately before a card owner notices the charge.

You can combat digital goods and services fraud by implementing device fingerprinting and logging IP addresses whenever a user downloads or accesses their purchase. Any discrepancies should be flagged and marked as a potential indicator of fraud.

To combat buyer’s remorse and other invalid chargeback claims, you’ll also need terms of service (ToS) that explicitly define “usage” and clearly articulate your refund policy.

Fashion & Apparel

Fashion and apparel merchants often experience return fraud, which occurs when customers use deception to secure a return they’re not entitled to. While arguably not as bad as chargeback fraud (at least you get the product back), return fraud wreaks havoc on inventory management, dampens profit margins, and inflates shipping costs.

To mitigate return fraud, consider implementing restocking fees for identified serial returners. You’ll want to carefully analyze customer history so that you block patterns of abuse without alienating loyal high-spenders who return items for legitimate reasons.

Subscription & SaaS

Recurring billing models can lead to “subscription fatigue,” which happens when customers misuse the chargeback process to cancel a subscription before contacting your customer service team first. Free trial abuse — where users constantly create new accounts so that they don’t have to pay — also dilutes revenue and inflates customer acquisition costs.

Here, transparency is your best defense. Sending a sequence of renewal notifications several months, weeks, and days before a charge hits can help you combat bogus dispute claims. To stop free trial abuse, implement usage anomaly detection and link accounts to device IDs as opposed to modifiable email addresses.

High-Ticket Items

High-value electronics and luxury goods attract sophisticated professional fraud rings because the payoff for a single successful attack is so high. For this reason, merchants in this vertical are frequently targeted by account takeovers and complex synthetic identity fraud where criminals build credit profiles just to burn them on one large purchase.

Some friction is necessary here. Implement multi-factor verification for orders exceeding a certain dollar threshold, and require a signature upon delivery. Shipping restrictions (e.g. declining orders to freight forwarders or P.O. boxes) can also disrupt a fraudster’s logistics.

Travel & Hospitality

Merchants in this vertical deal with a “time-to-fulfillment” gap. Third-party fraudsters can exploit this by using stolen cards to book last-minute bookings before the transaction can be flagged. Or, you could have guests-turned-fraudsters that enjoy a stay, then file an invalid chargeback to get a “refund.”

Use pre-authorization holds to verify that the card is valid before the guest arrives. Verifying the guest’s ID against the booking credit card at check-in can also introduce an additional layer of security to complement your online fraud prevention efforts.

Choosing the Right Fraud Management Provider for Your Needs

Selecting a fraud management partner is ultimately about finding a provider that aligns with your risk tolerance and operational capabilities.

Because outsourced providers may lack the specific context of your business, vet them thoroughly to ensure that they’re the right fit for your needs. Ask:

Do you offer a pre-built plugin, or will this require a custom API integration? What is the estimated “time-to-value” from contract signing to full deployment? If a custom integration is required, will I need to dedicate internal engineering resources to maintain it over time?

Can you describe your fee structure? Is it per-transaction, monthly, a percentage of sales, or something else? Does this pricing include a chargeback guarantee? If so, are there specific exclusions? Are there volume tiers that reduce my per-transaction cost as I scale? Do you charge for all transactions screened, or only for approved orders?

Does your dashboard provide chargeback reason codes that explain exactly why specific orders were declined? Can I run custom reports to isolate trends by region, SKU, or marketing channel?

Will I have a dedicated account manager, or will I rely on a general support ticket queue? Is support available 24/7, or only during standard business hours? Do you offer strategic reviews to help us optimize our rulesets as fraud trends evolve?

How do you calculate and verify your false positive rate without a control group? Can you provide data on false positive rates specifically for merchants in my vertical? What is the mechanism for “learning” from a false positive if a customer calls to complain?

What is your average decision latency? Does your decision speed fluctuate during peak periods, like weekends, Black Friday, or Cyber Monday? What fallback protocols do you have in place if your system experiences downtime or excessive latency?

Do you accept financial liability for chargebacks that slip through your defenses? How quickly can your team deploy new rules to counter a targeted fraud attack? Are there penalties or price increases if my chargeback rate exceeds a certain threshold?

Can I speak with a current client who has a similar average order value (AOV) and risk profile to mine? Do you have case studies demonstrating success specifically within my industry vertical? What was the biggest challenge this reference faced during their implementation phase?

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Top 10 Fraud Management Service Providers

The provider you should turn to for fraud solutions depends on the specific areas where you need help. This list is in no way exhaustive. However, it does showcase a few of the most reputable vendors and their specialties.

Also, note that these are objective recommendations. We took a detailed look at the highest-rated fraud prevention companies in operation today, and developed a rundown of the leading service providers.

Ratings and reviews were averaged based on real customer reviews from sources including G2, TrustRadius, Software Suggest, and Gartner. The “pros” and “cons” we mention are also paraphrased directly from real, firsthand customer reviews.

Signifyd

#1 | Signifyd

G2 ranks Signifyd as the #1 eCommerce fraud protection service available.

Signifyd provides an end‑to‑end Commerce Protection Platform. This platform leverages their Commerce Network to maximize conversion, automate customer experience, and eliminate fraud and customer abuse for retailers.

Signifyd uses big data and machine learning to provide a 100% financial guarantee against fraud and chargebacks on approved orders. This effectively shifts the liability for fraud away from eCommerce merchants, allowing them to increase sales and open new markets while reducing risk.

Major Clients:

Pros:

  • Integrates seamlessly and is easy to use
  • The Payments Optimization module works with strong customer authentication (SCA), which helps with compliance for EU-based payments
  • Transactions are generally approved in seconds

Cons:

  • It can be very costly for an enterprise-type customer
  • No real-time data
  • Sometimes the human (non-automated) review process can take longer to complete in cases where additional verifying information is needed from the customer

Pricing: Call for a free quote.

Extra Perks:


Fraud Management

#2 | Arkose Labs

Arkose Labs’s fraud deterrence platform eliminates sophisticated bots, frustrates fraudsters, and delivers user-centric account security. Combining real-time risk classification with dynamic challenges, the AI-powered platform uses enterprise-grade CAPTCHAs to defeat persistent bot and fraud farm attacks and protect platforms from account takeovers, fake account creation, spam, scraping, and more.

Major Clients:

Pros:

  • Easy to integrate with existing websites and workflows
  • Constantly improving their product, adding new challenges, monitoring traffic, and suggesting additional integration strategies
  • Tailors enforcement mechanisms to specific needs

Cons:

  • Lacks an API endpoint that provides real-time monitoring and the capability to configure alerts
  • Pricey; not ideal for start up companies seeking immediate ROI
  • Requires front-end integration

Pricing: Call for a free quote.

Extra Perks:

  • Free Demo

Fraud Management

#3 | NoFraud

NoFraud is an eCommerce fraud prevention and checkout solution that protects businesses from fraudsters, eliminates chargeback losses, and provides smoother, more frictionless checkout experiences for trusted shoppers.

NoFraud integrates directly with eCommerce platforms to scan every order for signs of fraud in real-time. They use a combination of powerful algorithms and proactive human review to provide simple pass-or-fail decisions for every transaction. Their aim is to eliminate the need to manually review orders or monitor fraud scores, and provide a 100% financial guarantee for chargebacks.

NoFraud Checkout also dynamically adapts the number of input fields based on customer risk factors. More trustworthy shoppers are sped through, while riskier shoppers must provide more information.

Major Clients:

Pros:

  • Seamless integration; easy to use and navigate
  • Excellent customer service and tech support
  • Decreases chargebacks

Cons:

  • Software is extremely sensitive; flags some orders needlessly
  • The integration ranks at the higher end of the pricing scale
  • They only cover purchases up to $2,000, but will increase the limit (for an additional fee)

Pricing: Call for a free quote

Extra Perks:

  • APIs
  • Free Demo

Fraud Management

#4 | DataDome

DataDome protects mobile apps, websites and APIs from online fraud, including scraping, scalping, credential stuffing, and account takeover.

They also protect against layer 7 DDoS attacks and carding fraud. Their AI-powered bot detection engine processes more than one trillion pieces of data every day, from 25 worldwide points of presence. This helps protect some of the world’s largest global eCommerce businesses in real time.

DataDome is easily deployed and is compatible with 100% of web infrastructure technologies, thanks to strong technical and business partnerships with market leaders. It runs anywhere, in any cloud, and is compatible with multi-cloud and multi-CDN setups.

Major Clients:

Pros:

  • Seamless, instinctual interface without a lot of noise
  • Customizable rulesets with excellent onboarding
  • Provides SDK (software development kit) integrations that simplify coding obfuscations and coupling challenges

Cons:

  • No ‘out of box’ API augmentation (manages internal systems only)
  • Software is sensitive; can lead to false negatives
  • No APIs with intro platform

Pricing: Entry level price of $2,990

Extra Perks:

  • Free Quote

Fraud Management

#5 | Seon

SEON helps its customers uncover fraud patterns and generate new revenue streams. Intelligent risk scoring with AI and machine learning adapts to your business risk evaluation. This means you get full visibility and complete control over every interaction, order, account, transaction, and opportunity.

Major Clients:

Pros:

  • Seamless integration with a wide range of data points
  • Detailed IP geolocation checks, screening of personal data for fraudulent indicators, checks social media profiles, and the rules management system is quite easy to use without specific knowledge
  • Platform is extremely well organized

Cons:

  • Lacks the means to export a full blacklist or internal scoring data points
  • Loading customers into the system can take a while
  • IP checks could be more precise with mobile IPs

Pricing: Starting at €299

Extra Perks:

  • APIs
  • Free Demo

Fraud Management

#6 | Riskified

Riskified uses powerful machine-learning algorithms to instantly recognize good customers and weed out bad ones with a 100% chargeback guarantee. Merchants can safely approve more orders, expand internationally, and eliminate the costs of fraud while providing a frictionless customer experience.

Major Clients:

Pros:

  • It's easy to filter through thousands of orders to identify general trends
  • Obtain quick responses and solutions when submitting claims and reimbursements
  • The effectiveness of the product; does not require heavy maintenance

Cons:

  • Sometimes people are flagged for no reason
  • Focusing purely on fraud prevention means merchants in the EU need to handle 3DS/PSD2 on their own
  • There are no mobile SDKs, yet more than 50% of eCommerce is mobile in some countries

Pricing: Call for a free quote

Extra Perks:

  • APIs
  • Chargeback Guarantee
  • Real-Time Monitoring

Fraud Management

#7 | Sift

Sift, formerly Sift Science, empowers companies of all sizes to unlock revenue without risk. Industry leaders like Twitter, DoorDash, and Twilio rely on Sift to stay competitive and secure.

Sift prevents fraud with industry-leading technology and expertise, an unrivaled global data network, and a commitment to building long-term partnerships with our customers.

Their Digital Trust & Safety Suite prevents fraudulent payments, fake accounts, spam, scams, and account takeover. They reduce false positives and power frictionless experiences in the process.

Major Clients:

Pros:

  • Easy to use and provides excellent visibility about any suspicious behavior
  • Automate workflows are very flexible and easy to understand
  • Straightforward integration

Cons:

  • Route building and initial configuration of workflows could be improved
  • Does not always accurately link accounts
  • Product is priced relatively high

Pricing: Volume based pricing. Call for a free quote

Extra Perks:

  • APIs
  • Free Quote
  • Real-Time Monitoring

Fraud Management

#8 | Kount

Kount’s AI-driven Identity Trust Platform protects the complete customer journey for more than 9,000 leading brands and payment processors.

Powered by its Identity Trust Global Network ™, Kount, An Equifax Company, links billions of trust and fraud signals to protect every interaction. It provides end-to-end coverage from account creation and login to payments and disputes.

Major Clients:

Pros:

  • Kount RIS API is very clear, concise, and easy to implement
  • The approve/decline model has proven to be a seamless experience
  • Also checks a customer’s chargeback history

Cons:

  • Many different clients and customers are automatically flagged with a low Omniscore
  • Decline rules are very limited
  • Datamart BI reporting tool is not optimized, and limited

Pricing: Two-tier pricing based on small business and mid-market models

Extra Perks:

  • APIs
  • Real-Time Monitoring
  • Payment Verification

Fraud Management

#9 | ClearSale

ClearSale’s balanced approach to eCommerce fraud protection and prevention yields the highest approval rates and lowest false-positive rates in the industry.

Having been in business for over two decades and running, and with a 99% retention rate, that’s really saying something.

ClearSale does business in over 160 countries. They’ve won several awards for stellar customer service and proven value as a top fraud prevention brand.

Major Clients:

Pros:

  • Completely seamless integration
  • Ease of use and dashboard implementation
  • Extremely high customer service ratings

Cons:

  • Unclear service charges
  • KPI’s and analytics are not always communicated effectively
  • Unclear attribution factors corresponding to the source of the converted sale

Pricing: Two-tiered payment plan, with a free trial period for either.

Extra Perks:

  • Free Trial
  • Plug and Play Service
  • Real-Time Monitoring

Fraud Management

#10 | Prove

Prove is an emerging star in the fraud detection services game. They offer phone-centric solutions that enable clients to acquire new consumers and engage with their existing consumers.

This is done by removing friction while bolstering security and enhancing consumer privacy & consumer choice. Prove Pre-Fill™ enables companies to drive more signups by auto-filling forms with authenticated identity data, to accelerate revenue while mitigating fraud across mobile, desktop, tablet, contact center, and in-store channels.

Major Clients:

Pros:

  • Seamless integration and swift onboarding
  • Offer a robust series of products, from Payfone Pre-fill to soft authentication like Payfone TrustScore, to even more friction-induced authentication products like Instant Link
  • Offers additional optimization services

Cons:

  • Password-protected documentation is slow-loading and difficult to sort
  • Slight overlap between Trust and Verify products
  • Some of Prove's products rely on third-party data such as Mobile Network Operations (MNOs) and credit bureaus, but their latest mobile-first products do not have this dependency and rely only on data gathered via SDK

Pricing: Call for a free quote

Extra Perks:

  • APIs
  • Real-Time Monitoring

The Trouble With “Pre-” vs. “Post-” Transaction Fraud Management

In a perfect world, we’d catch every act of fraud before it happens. No one would ever get ripped off. Unfortunately, we don’t live in that sort of world. 

So, what happens when fraud prevention practices are too stringent. Or worse, what if it isn’t stringent enough?

Pre-Transactional Fraud Management
Automation can be a great time-saver, but fraudsters are constantly developing new ways to game the system. Like any automated strategy, filters can be fooled or bypassed altogether.

There’s also the problem of parameters. You select the guidelines for what the system marks as fraud, which can be a delicate balancing act. Obviously, setting the parameters too wide allows more fraud to slip through. Tighten the filters to stop more potential fraud, however, and you’ll end up declining legitimate orders. In fact, it’s estimated that false declines cost US merchants $34 in lost sales for every $1 in “prevented” fraud.
Post-Transactional Fraud Management
Once a chargeback has been issued for these attacks, your only option is to contest it through the representment process.

You need to find the true source of your chargebacks, then take steps to resolve each dispute trigger. But, as we mentioned earlier, that can be harder than it sounds. In friendly fraud situations, the real cause of the chargeback is usually quite different from the “official” cause reflected by the reason code. Your fraud management strategy should include extra measures to dig out the true source of each chargeback. Otherwise, you’ll be trying to solve the wrong issues with the wrong solution.

Can you tackle both of these problems at once?

With Chargebacks911®, you can. Our fully-customizable, dual-layered fraud detection, mitigation, and representment solutions can help you prevent fraud at the point of sale, mitigate invalid disputes and returns that slip through the cracks, and challenge the peskiest chargebacks in representment. Click here and request a free demo today.

FAQs

What is the concept of fraud management?

Fraud management refers to an overarching strategy designed to identify and block potential online fraud. A comprehensive fraud management strategy also allows merchants to prevent future fraud occurrences and recover revenue lost to fraudsters.

What are fraud management strategies?

An effective online fraud management solution must address the problem from multiple angles. In addition to recognizing and understanding the different types of fraud, you’ll need to know which prevention and response methods work best in each situation.

What are the key types of fraud?

Fraud can be generally divided into three groups. First-party fraud (like credit card fraud and wire fraud), second-party fraud (money muling and laundering), and third-party fraud (like cyber shoplifting or friendly fraud).

What is the strongest deterrent to fraud?

A robust fraud management system, leveraging technologies like machine learning, can greatly enhance an organization's efficiency and reduce risk by detecting fraud patterns in real-time with less human intervention. 

Though some manual review will still be necessary, automated systems can greatly decrease time spent on this task, elevating team productivity.

What is the fastest-growing form of fraud?

Post-transactional fraud, like friendly fraud and return fraud, are among the fastest-growing forms of fraud.

What are typical red flags of fraudsters?

Common red flags include large orders from new customers, different payment methods on different orders with the same shipping address, and different orders with the same IP address. Check out our full list of fraud red flags and how to respond to them.

What fraud rate is acceptable for my business?

The ideal fraud rate is zero percent, but that’s not practical in reality. Generally, a combined fraud and chargeback rate of less than 0.5% of transactions is considered acceptable. In other words, you’re in a decent place if no more than 1 out of every 200 transactions you submit for processing is fraudulent or results in a chargeback.

What are the most important fraud management metrics to track?

Some of the most important fraud management metrics to track include your fraud detection rate, chargeback rate, order acceptance rate, and false positive rate. You may also want to track your fraud loss ratio, order review rate, as well as fraud capture metrics like your value detection rate (VDR) and account detection rate (ADR).

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