Tokenization for robotic process automation
Blog post from Basis Theory
Robotic Process Automation is expanding rapidly as no-code software bots automate repetitive back-office tasks such as logging into websites, completing forms, processing invoices, and submitting payments, but these workflows often require highly sensitive personal, financial, and authentication data. The text argues that storing such information in plaintext creates major security and compliance risks, making tokenization and encryption essential methods for protecting data between systems. It emphasizes tokenization’s advantage of preserving recognizable data formats, allowing masked values to satisfy website validation rules where encrypted strings may fail. Using no-code RPA platform Weeldi as an example, it describes how customers can use Basis Theory as a third-party token vault, defining sensitive input fields, recording automation templates, and associating those fields with stored tokens rather than retaining raw credentials or card numbers in the RPA platform. During execution, the workflow retrieves plaintext data from the vault only when needed to populate login and payment forms. The piece concludes that organizations evaluating secure RPA infrastructure should seek providers with portability, scalable pricing, granular data-governance controls, and straightforward integrations.
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