How we make this list: we compare pricing pages, product documentation and public user reviews. Ratings come from G2, Capterra or Trustpilot, with the date we checked them.
Key takeaways
- Feedzai is the default shortlist name for tier one banks and processors that need transaction monitoring and fraud scoring in one governed platform.
- Socure fits enterprises that want identity verification and fraud decisioning in a single contract rather than two vendors.
- Sift suits marketplaces and platforms fighting payment fraud, account takeover and content abuse from the same console.
- Forter and similar guarantee models move chargeback liability to the vendor, at a percentage of order value.
- SEON is the rare platform in this group with a published entry price, from 699 dollars per month for its Starter plan.
Quick comparison
| Tool | Best for | Starting price | Free plan |
|---|
 Feedzai | Tier one banks and payment processors | See website | No |
 Socure | Identity plus fraud decisioning in one engine | See website | No |
 Sift | Marketplaces and digital platforms | See website | No |
 Forter | Large retailers wanting a chargeback guarantee | See website | No |
 LexisNexis Risk Solutions | Enterprises with deep identity and bureau data needs | See website | No |
 Featurespace | Card issuers analysing transaction behaviour | See website | No |
 SEON | Fintech and iGaming teams wanting published pricing | $699 per month | No |
 DataVisor | Coordinated fraud rings and account opening abuse | See website | No |
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The best cyberfraud companies for enterprise
Starting priceSee website
Free planNo
Feedzai is the name that comes up when a large bank or processor wants one platform for fraud scoring and transaction monitoring. Its models score payments in real time and its risk operations tooling is designed for the audit trail a regulated institution has to produce when a regulator asks why a transaction was blocked.
The fit question is scale. Feedzai sells to organisations processing serious volume with dedicated risk teams. A mid size fintech will usually get a faster start from a lighter platform, and will pay a lot for capability it cannot staff.
What we like- Built for very high transaction volumes with real time scoring, a long record at large banks and processors, model governance and explainability features that regulated firms need for audit, AML transaction monitoring available in the same platform family
Watch out for- Pricing is custom and enterprise scale, implementation is a project rather than a signup, smaller firms will find it more platform than they need, model tuning needs your own risk analysts to get full value
#2Socure
Best for: Identity plus fraud decisioning in one engine4.5/5 on
G2 (103 reviews, checked Oct 2026)
Visit socure.com
Starting priceSee website
Free planNo
Socure starts from identity rather than transactions. For enterprises whose biggest losses arrive at account opening, through synthetic identities and stolen credentials, verifying who is opening the account stops fraud earlier than scoring what the account does later.
Its decisioning layer lets a risk team combine identity proofing, device and behavioural signals, and watchlist checks in one flow. Enterprises that already own a strong identity stack may find overlap, so map what you have before signing.
What we like- Identity graph built from a wide range of data sources, document verification and identity checks combined with fraud signals in one decisioning layer, strong fit for account opening fraud and synthetic identity, per call pricing reported on some products
Watch out for- Quote based for enterprise use, identity led rather than a full transaction monitoring suite, best results depend on integrating several of its modules, US data depth is stronger than many international markets
#3Sift
Best for: Marketplaces and digital platforms4.6/5 on
G2 (614 reviews, checked Oct 2026)
Visit sift.com
Starting priceSee website
Free planNo
Sift is the platform most often shortlisted by marketplaces, travel platforms and digital goods sellers. Its strength is breadth across the journey: the same system watches signups, logins, payments and posted content, which matters when the same fraud ring tests all four.
The trade is liability. Sift gives you scores and decisioning, not a guarantee. Enterprises that want the financial risk moved to the vendor should compare it against the guarantee models below and price the difference honestly.
What we like- One platform covering payment fraud, account takeover and content abuse, machine learning scores trained on a very large cross customer event network, console and workflow tools that fraud analysts actually use daily, pricing is subscription plus volume rather than a cut of every order
Watch out for- No standard chargeback guarantee, so the enterprise keeps the fraud liability, pricing is custom and volume based, getting the most from its models takes integration work across the full customer journey
#4Forter
Best for: Large retailers wanting a chargeback guarantee4.7/5 on
Capterra (15 reviews, checked Oct 2026)
Visit forter.com
Starting priceSee website
Free planNo
Forter sells an outcome rather than a score. For approved orders it takes on fraud chargeback liability, which turns fraud cost into a known percentage of revenue. Finance teams like the predictability, and approval rates matter more than raw decline rates in its pitch.
Read the guarantee terms with care. Coverage depends on the order being approved through its system and on the merchant following the agreed process. Disputed or out of scope transactions stay with the merchant.
What we like- Identity based decisions across the buying journey, chargeback guarantee available on approved orders, large identity network drawn from major retailers, also covers policy abuse such as returns and promotion abuse
Watch out for- Pricing is a custom share of transaction value, so high volume merchants pay high absolute fees, the guarantee covers approved orders under its terms rather than all fraud, retail and commerce focus means banks look elsewhere
Starting priceSee website
Free planNo
LexisNexis Risk Solutions is the data depth pick. Its fraud products sit on decades of identity, credit header and public records data, plus device intelligence from the ThreatMetrix network, which few rivals can match for sheer coverage.
That depth comes with complexity. Enterprises often buy several modules over time and need a clear architecture plan to avoid paying twice for similar signals. It rewards buyers who know exactly which decisions they are improving.
What we like- Very deep data assets including the Digital Identity Network from ThreatMetrix, strong in banking, insurance and public sector work, combines physical identity data, device data and behavioural analytics, long regulatory and compliance track record
Watch out for- Product catalogue is large and overlapping, which makes procurement slow, pricing is entirely quote based and modular, integration and professional services can cost as much as licences
Starting priceSee website
Free planNo
Featurespace built its name on one idea: model what a genuine customer normally does, and flag the deviation. Its ARIC platform is used by card issuers and processors to score transactions against learned behaviour rather than static rules.
Since the Visa acquisition, it sits inside the largest card network's risk stack. That is an advantage for issuers already close to Visa, and a reason for others to ask hard questions about roadmap and neutrality.
What we like- Adaptive behavioural analytics that learn each cardholder's normal pattern, now owned by Visa, which gives it a direct line into issuer and network data, strong record in card fraud and payments monitoring, self learning models reduce manual rule writing
Watch out for- Narrower than the full platform vendors, focused on payments and card behaviour, enterprise sales through Visa channels can be slow, pricing is not published
#7SEON
Best for: Fintech and iGaming teams wanting published pricing4.6/5 on
G2 (394 reviews, checked Oct 2026)
Visit seon.io
Starting price$699 per month
Free planNo
SEON is the transparency outlier. It publishes a price, explains its checks, and lets a risk team start without a six month procurement cycle. Its footprinting approach pulls social and digital signals from an email address or phone number, which is strong for spotting freshly created fraud identities.
For enterprise buyers, SEON usually fits a business unit, a new product line, or a region rather than the whole group. Check the per check maths at your real volume before assuming it stays the cheap option.
What we like- Published pricing is rare in this market, with Starter from 699 dollars per month covering a set number of monthly checks, digital footprinting across email, phone, IP and device signals, fast API integration and a free trial on request, popular with fintech and iGaming operators
Watch out for- Check based pricing punishes very high volume screening, less depth in banking transaction monitoring than Feedzai, newer and smaller data network than the largest vendors, add on modules raise the real monthly cost
Starting priceSee website
Free planNo
DataVisor's speciality is the coordinated attack: hundreds of accounts created together, sharing devices, behaviour or infrastructure. Its unsupervised models look for those links without needing labelled examples of the new attack first.
That makes it a strong second layer for enterprises that already score transactions but keep getting hit by organised sign up and promotion abuse. It is a specialist buy, priced and sold as one.
What we like- Unsupervised machine learning designed to find coordinated rings rather than single bad actors, strong at account opening, promotion abuse and account takeover, works across large event streams in real time, used by large platforms and financial firms
Watch out for- Pricing is quote based, the platform expects skilled risk and data teams, less of a household name in European banking, narrower identity data than Socure or LexisNexis
How we chose
We shortlisted vendors that enterprise risk teams can actually buy in October 2026 and that cover the main enterprise fraud shapes: transaction monitoring, identity led account opening defence, marketplace abuse, and chargeback guarantee models. We favoured vendors with published product detail, named enterprise customers, or published pricing, and we recorded pricing as See website wherever a vendor does not publish a price rather than repeating third party estimates as fact. We did not test any platform hands on; this guide rests on vendor material and current comparison reporting.
How an enterprise should buy fraud prevention
Start by naming your fraud type precisely. Losses at account opening, at login, at payment and in seller onboarding have different best vendors, and a platform bought for one will disappoint on another. Pull twelve months of loss data and chargeback data before talking to anyone.
Second, decide who carries the liability. Guarantee models from vendors like Forter cost a share of order value and remove fraudulent chargeback risk on approved orders. Score based platforms cost less and leave the risk with you. Neither is wrong; the right answer depends on your margins and your appetite for variance.
Third, test on your own traffic. Every serious vendor here will run a proof of concept against historical or live data. Judge it on fraud caught, good customers declined, and analyst workload, in that order. A model that catches more fraud by declining more good customers is usually a bad trade.
Finally, plan the operating cost. These platforms need tuning, rule updates and case review. The licence is only part of the spend, and the enterprises that get value are the ones that staff the console.
Frequently asked questions
Which cyberfraud company is best for a large bank?
Feedzai is the most common shortlist answer for tier one banks, because it combines real time transaction monitoring, fraud scoring and model governance in one platform. Socure and LexisNexis Risk Solutions are usually evaluated beside it for identity led use cases.
How much do enterprise fraud platforms cost?
Mostly, vendors do not publish prices. Contracts are custom and scale with transaction or check volume, and guarantee models charge a share of order value. SEON is the exception in this list with a published Starter price of 699 dollars per month. Expect any platform here to be a five or six figure annual commitment at enterprise volume.
What is the difference between a fraud score and a chargeback guarantee?
A score tells you how risky a transaction looks, and you decide and carry the loss. A guarantee means the vendor approves the order and covers the fraud chargeback if it turns bad, in exchange for a percentage of the transaction value. Guarantees cost more and cover only orders approved under their terms.
Can one platform cover account opening and payment fraud?
Some can cover both to a degree, but the strengths differ. Socure and LexisNexis lean toward identity and account opening. Feedzai and Featurespace lean toward transaction and payment behaviour. Many enterprises run two layers and route decisions through one orchestration workflow.
Do these platforms replace our compliance team?
No. They produce scores, alerts and case queues. Regulatory duties, including AML reporting and data protection, stay with the enterprise, and a risk team still has to tune models, review cases and defend decisions to auditors.
Sources we checked (0)
Is your product missing or out of date?
We review this list regularly. Vendors can request a listing, send updated pricing or ask about featured placement.
Shihab Mia · Founder, Rankite
Shihab has 5+ years in B2B and SaaS SEO. He writes Rankite's software buying guides from pricing pages, documentation and public user reviews. More about Shihab.