Best Fraud Protection SaaS companies
ClearSale
ClearSale is a global pioneer and proven leader in fraud protection solutions with over 16 years of experience in adapting to the most diverse countries and markets, offering experience, size and flexibility to scale any operation.
ClickGUARD
ClickGUARD effectively detects and blocks all money wasting click fraud. ClickGUARD's click fraud protection software can stop fraudulent activity so you can focus on real customers that boost your profits and conversions.
Shufti Pro
Shufti Pro is a digital identity verification application that offers an intelligent mechanism for the verification of ID card, Passport, Driving License, and Credit/Debit card.
Signifyd
apptino
We at apptino offer a SaaS B2B apptinoCommerce platform for companies from manufacturing & wholesale distribution. Our platform helps customers to build their own digital sales channel, a true B2B Commerce, to connect with their channel partners & customers in just weeks. It works like a customer portal, dealer portal, or even a proper eCommerce strategy for your business. This can also be used for spares sales for your existing customers. Our digital commerce platform helps you reach more customers, makes faster decisions, reduce costs & build strong customer relationships.
CSP Control Center
CSP Control Center (C3) by Spektra Systems is a pureplay CSP automation solution which helps Direct CSP partners and Distributors in selling, billing, provisioning and managing the Microsoft cloud services via CSP Program with unmatched feature capabilities as;
Sila
Sila is the quickest and easiest way to integrate your applications into the financial world. Coupling regulatory compliance with pay-as-you-go pricing and ease-of-access, we will have you up and running in no time.
PPC Protect
PPC Protect offers an online platform click fraud detection and prevention through Google AdWords advertisers.
Superwise
As more businesses rely on AI models to boost their impact and their bottom-line, the need for managing, monitoring and optimizing the real-life behaviour of these models grows.