 helps businesses detect and manage post‑purchase abuse by evaluating risk associated with claims, adjustments, refunds, returns, and exchanges. By analyzing historical customer behavior over time—including the frequency, consistency, and patterns of prior 

 enables organizations to identify abusive behaviors such as excessive returns, item‑not‑received claims, refund abuse, and return fraud, while still supporting legitimate customers.

 operates after fulfillment and settlement events, focusing on post‑transaction abuse detection and feeding abuse signals back into risk strategies that inform future transaction decisions.

, which aggregates customer activity across claims, refunds, returns, and exchanges using persistent customer identifiers;

, which supports decisions on whether to approve a current 

 action or factor the outcome into future risk strategies;

, which surface patterns of misuse that can be incorporated into broader fraud and account decisioning.

Together, these capabilities enable organizations to reduce abuse‑driven losses, make more informed return and refund decisions, protect margins, and strengthen upstream fraud prevention by incorporating post‑purchase behavior into the overall risk lifecycle.

Accertify Chargeback Management

Accertify CARE

passwordless

inrisk

passkey

gateway

deviceserver

mobile

browser

riskID

extract

profiles

index

documentationplatform

returnssolution

protectionproduct

chargebackproduct

fraudproduct

Provides mobile device identification and risk assessment via Software Development Kits (SDKs) for Android and iOS devices.

InMobile

Accertify's post-transaction product that manages the chargeback process for merchants.

Chargeback_Module

The act of a credit card company charging a merchant for goods that a merchant consumer claims they either did not purchase or did not receive. Onus is on the merchant to prove the consumer made the purchase and the merchant delivered the goods.

Chargeback

A service that lets you choose a key field (such as email address) and define the fields you want to collect alongside it to create new data points you can add to the Transaction Detail screen or write rules against.

Profile_Builder

Accertify's platform can monitor the entire fraud lifecycle, including pre-transaction, payment, and post-transaction risk.

Interceptas_Platform

platformname

Device (formerly known as InBrowser) is Accertify’s browser-based data collection solution that gathers transaction and device data from end-user browsers and transmits it to Accertify servers for risk analysis.

Device

A product that collects device attributes, user behavior data, and authentication signals via JavaScript to support risk analysis and decisioning.

Accertify_Data_Collector

A solution that pairs with Fraud Management to mitigate risk associated with claims, adjustments, refunds, returns, reshipping, and exchanges.


CARE

An Accertify product that uses the Interceptas® Data Management Platform to process transaction data and enable users to address their fraud risk.

Accertify_Fraud_Management

The Accertify Case Management feature is the user interface within the Interceptas Platform.

Case_Management

Accertify Risk ID. A cross-client consortium of positive and negative data points.

ARID

An Accertify product that streamlines all aspects of the chargeback management process from review of a client’s payment, to receiving the chargeback, and submitting a representment response

Accertify_Chargeback_Management

Accertify Chargeback Management (ACM) is our official product offering. It helps to streamline all aspects of the chargeback management process from review of a client’s payment, to receiving the chargeback and submitting a representment response. 

A historical reputational data set that produces a risk assessment between 0.000 and 1.000, with the higher probability indicating a higher risk of fraud.

Accertify_Index

A group of Accertify products that analyze device attributes, environmental signals, and behavioral patterns to support event and transactional fraud decisions.

Device_Intelligence

An Accertify product that combines continuous monitoring and machine-learning algorithms to identify risky events that occur on Client websites using the five pillars: Device, Connection, Location, Behavior, and Reputation.