 Management helps businesses manage, respond to, and recover disputed transactions, reducing operational overhead while maximizing dispute win rates. By combining automation, network connectivity, configurable workflows, and expert insight, the 

 product streamlines the end‑to‑end dispute process—from alerting and evidence collection to submission and outcome tracking—helping organizations efficiently address both fraud‑driven and first‑party disputes.

 operates downstream from transaction decisioning, focusing on post‑transaction dispute management, representment, and loss recovery to close the loop on fraud and payment risk.

, which centralize chargeback intake, evidence assembly, and responses across payment networks and processors;

, which standardize and accelerate dispute workflows while reducing manual effort;

, which provide visibility into dispute outcomes and trends to inform ongoing fraud and risk strategies.

Together, these capabilities enable organizations to recover revenue, reduce chargeback rates, improve operational efficiency, and feed dispute intelligence back into upstream fraud prevention efforts.

Accertify Fraud Management

Accertify Chargeback Management

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.