Accertify Device intelligence
Endpoint management software
Endpoint protection software
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What is Accertify Device intelligence
Accertify Device Intelligence is a device fingerprinting and risk assessment capability used to identify devices and detect suspicious behavior during digital transactions. It is typically used by fraud and risk teams to support account login, account creation, and payment/checkout decisioning. The product focuses on collecting device and network signals (for example, browser/device attributes and IP-related context) and returning a device identity and risk indicators that can be integrated into fraud workflows. It is commonly deployed as part of a broader fraud management stack rather than as a general-purpose endpoint management tool.
Device fingerprinting for fraud
The product is designed to recognize devices across sessions using a combination of device and browser attributes. This supports use cases such as detecting repeat fraud attempts, identifying device changes on an account, and linking related activity. It aligns well with transaction and account-security workflows where device identity is a key signal.
Real-time risk signal delivery
Device and network signals can be evaluated at the time of login, registration, or checkout to support automated decisions. This enables step-up authentication, manual review routing, or transaction blocking based on risk thresholds. The focus on low-latency decision support fits operational fraud prevention processes.
Integrates into fraud operations
Accertify is commonly used in environments that already run rules, case management, and analyst review processes. Device intelligence can be consumed as an input to those tools to add context to alerts and investigations. This makes it practical for organizations that need explainable signals for analysts rather than only a black-box score.
Not endpoint management focused
Despite the word "device," the product is not built for IT endpoint inventory, patching, remote monitoring, or device configuration management. Organizations looking for unified endpoint management or RMM capabilities typically need separate tools. Fit is strongest for fraud/risk teams rather than IT operations.
Coverage depends on integration
Value depends on correct implementation in web and/or mobile channels and consistent event coverage across user journeys. Gaps in tagging, SDK deployment, or event instrumentation can reduce device continuity and risk accuracy. Ongoing coordination between engineering and fraud teams is usually required.
Privacy and consent considerations
Device fingerprinting and related telemetry can trigger privacy, consent, and data-retention requirements depending on jurisdiction and industry. Legal review and clear disclosure practices may be necessary, especially for consumer-facing applications. Some users may also use privacy tools that reduce signal quality.
Seller details
American Express Company
New York, New York, United States
2010
Public
https://www.accertify.com/
https://www.linkedin.com/company/accertify
