TRACIO
Use device signals and risk assessments to inform fraud-prevention decisions
Detect account abuse and apply risk-based access rules

Rupt helps online products identify suspicious users and respond to fraud or account abuse. It combines signals from devices, browsers, networks, email addresses, phone numbers, and sessions to assess actions such as registration, login, and payment. Teams can use those signals to investigate fake accounts, account sharing, automated traffic, or repeated trial signups.
A rules engine connects risk signals with business conditions and chooses whether to allow, challenge, or block an action. Verification challenges and managed lists support follow-up checks and enforcement. Developers can integrate the complete workflow through documented APIs and SDKs, or bring the underlying signals into their own decision-making systems.
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