Best payment fraud Tools

Compare and discover the best payment fraud software and tools for your team. Find the right solution for your needs.

6 vendors

Feedzai

Fraud Detection & Prevention

11 products

Feedzai provides fraud detection and prevention for banks, fintechs, and payment providers using real-time decisioning across cards, RTP, ACH, transfers, digital banking, and account opening. The platform combines behavioral biometrics, device identity, malware detection, and network-level fraud intelligence to score sessions and transactions before authorization or account action completes. Feedzai is positioned as an end-to-end financial crime platform, but for this category the focus is on fraud and scam prevention rather than AML workflow. It fits institutions that need low-latency scoring, explainable alerts, and models that adapt to changing fraud patterns.

Real-time fraud and scam detectionBehavioral biometrics and device intelligenceOmnichannel fraud analytics+9

Forter

Fraud Detection & Prevention

1 product

AI built for the humans behind every fraud, abuse, and payments decision, so your best customers feel less friction, and you leave no revenue behind.

Real-time transaction fraud preventionIdentity-based consumer authenticationMachine-learning fraud decisioning+6

KONG

API Security

2 products

Kong enables the connectivity layer for the agentic era – securely connecting, governing, and monetizing APIs and AI tokens across any model or cloud.

Authorization and access controlAuthentication with API credentialsRate limiting and throttling+9

Riskified

Fraud Detection & Prevention

1 product

AI fraud prevention fueling ecommerce success

Real-time fraud decisioningAI-based order approvalChargeback protection+7

Sift

Fraud Detection & Prevention

3 products

The Fraud Platform That Turns Risk Into Revenue

Instant fraud detectionMachine learning risk scoringCustom fraud rules+7

Stripe Radar

Fraud Detection & Prevention

2 products

Stripe Radar is Stripe’s fraud detection and prevention product for payment businesses that want real-time screening of card-not-present transactions, account takeovers, and customer abuse within the Stripe stack. It uses machine learning, device and behavioral signals, and configurable rules to block, review, or allow payments before authorization completes. Radar is strongest for teams already processing through Stripe because it is built into the payments platform and requires little or no separate deployment. It is used by merchants that need automated fraud controls plus dispute-related fraud prevention, rather than a standalone fraud platform.

Machine learning fraud detectionAutomatic fraud blockingCustom fraud rules+8

What is payment fraud software?

Compare and discover the best payment fraud software and tools for your team. Find the right solution for your needs. With 6 payment fraud tools listed on Picari, you can compare features, pricing models, and real user experiences side-by-side, without speaking to a single sales rep until you're ready.

Who needs payment fraud tools?

payment fraud software is typically adopted by teams that have outgrown manual processes and need repeatable, scalable workflows. You'll get the most value if:

Your team spends more than 5 hours/week on tasks that could be automated
You're scaling past 10 team members and need consistent processes
You need better visibility into performance metrics and ROI
Your current tools don't integrate well with the rest of your stack

Buying criteria checklist for payment fraud

Before committing to a payment fraud platform, run through this evaluation checklist:

Does it integrate with your CRM and existing stack?

What's the total cost of ownership (setup + seats + add-ons)?

How steep is the learning curve for your team?

Does it scale with your expected growth over 12–24 months?

What does onboarding and customer support look like?

Can you trial it with real data before committing?

Common mistakes when evaluating payment fraud tools

1.Buying based on demos alone. A polished demo doesn't reveal how the tool handles your actual data and workflows. Always run a proof-of-concept.
2.Ignoring total cost of ownership. The sticker price is rarely the full cost, factor in implementation, training, integrations, and potential add-on fees.
3.Not involving end users in the evaluation. The people who'll use the tool daily should have a say. Top-down purchases often lead to low adoption.
4.Comparing too many tools at once. Shortlist 2–3 finalists max. Evaluating 5+ tools in parallel leads to decision fatigue and delayed timelines.

How to evaluate payment fraud tools on Picari

Picari is built to help security teams evaluate cybersecurity tools on their terms, no cold calls, no spam, no pressure. Here's how to get started:

Browse and compare, Review features, pricing, and team fit for each tool above.
Start a Briefing, Describe your problem and get a personalised shortlist of vendors in minutes.
Run a Stack Audit, See how a new tool fits alongside what you already use, and identify gaps or overlaps.
Open an Evaluation Room, Collaborate with your team, organize requirements, and message vendors directly, all in one place.

Not sure which payment fraud tool fits?

Start a Briefing to tell us what you're trying to solve, get a shortlist and a stack audit in minutes.

Top payment fraud tools on Picari (2026)

Here are some of the most popular payment fraud tools currently listed on the platform:

Feedzai, $$$$ pricing · Feedzai provides fraud detection and prevention for banks, fintechs, and payment…
Forter, $$$$ pricing · AI built for the humans behind every fraud, abuse, and payments decision, so you…
Kount, $$$ pricing · As a trusted global leader in data, analytics, and technology we deliver insight…
Riskified, $$$$ pricing · AI fraud prevention fueling ecommerce success…
Sift, $$$ pricing · The Fraud Platform That Turns Risk Into Revenue…
Stripe Radar, $ pricing · Stripe Radar is Stripe’s fraud detection and prevention product for payment busi…