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Data privacy isn't just important—it's critical.
State-of-the-art data privacy detection guardrails that scan your AI interactions to identify sensitive information that might put your users at risk.
Customise your Guardrails to identify entities that fall under various data privacy regulations that match your Policies:
Choose the behaviour of your Guardrails to either log detections or log and override them.
Let's take a closer look at how the guardrails work with a few concrete examples.
Imagine you run an online store. You have customer reviews, and you want to ensure no personal information is inadvertently shared.
Input Text: "Jane Doe, who lives at 123 Maple Street, loves her new running shoes. She says they are the best she’s ever had, and she ordered them using her Visa card ending in 1234."
Guardrail Response:
With this information, you can redact or anonymise the sensitive data before displaying the review on your site.
Let's say you manage a healthcare portal where patients share their experiences with treatments.
Input Text: "John Smith, patient ID 5678, has been responding well to his new medication. His prescription number is 4321, and he has had no side effects so far."
Guardrail Response:
Using AltrumAI Data Privacy guardrails, you can ensure that this information is either securely stored or adequately anonymised before being shared publicly.
Consider a scenario where your application processes customer feedback on transactions.
Input Text: "Emily Johnson's transaction on 06/21 was successful using her Mastercard ending in 9876. Her feedback was very positive."
This allows you to handle the sensitive payment information in compliance with PCI-DSS standards, avoiding potential data breaches.
One of the most powerful features of Data Privacy guardrails API is its flexibility. You can configure it to detect any specific types of sensitive information unique to your business needs.
For instance, if you're in the legal industry, you might need to flag case numbers or specific legal terms. Simply add these custom entities to your configuration, and our API will detect them just as efficiently as standard entities.
Consider a scenario where your application processes customer feedback on transactions.
Input Text: "Emily Johnson's transaction on 06/21 was successful using her Mastercard ending in 9876. Her feedback was very positive."
This allows you to handle the sensitive payment information in compliance with PCI-DSS standards, avoiding potential data breaches.
Integrating our Data Privacy Checker guardrails into your application is a breeze. With clear documentation and support, you can get up and running in no time.
Start using AltrumAI Data Privacy Guardrails to safeguard your content and ensure compliance, confident that sensitive information is managed appropriately.
Discover how AltrumAI can elevate your AI strategy. Book your demo now to experience the future of responsible AI.
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