Digital Quire keeps your readers' and your business's sensitive information out of outside AI systems by default, and only shares it when you explicitly say it's okay.
AI reading assistants are only useful if they can read your content. But "reading your content" usually means sending it to an outside AI provider. For a public catalog, that's fine. For an edition that carries personal details, customer contact information, or health-related data, quietly shipping that text to a third party is exactly the kind of thing that keeps compliance teams up at night.
Digital Quire is built so that the sensitive parts of your content never leave our systems to reach an outside AI unless you have deliberately approved it. Protection is the default. Sharing is the exception you control.
When an edition is processed, Digital Quire scans it and flags personal information (PII) such as emails, phone numbers, addresses, and account numbers — and separately flags health-related information (PHI). You see exactly what was found, and where.
When a reader asks the assistant a question, it works from your content — but any flagged personal or health data is masked out before it is sent to the outside AI. The AI sees [withheld for privacy] where a phone number or medical identifier would be. Your data stays with us.
Approval is explicit and split into two independent choices, below. You can approve one, both, or neither — per edition. Nothing sensitive is shared until you turn it on, and every approval records who approved it and when.
If an answer had sensitive content withheld, the reader sees a small, clear privacy indicator — no guessing, no silent gaps. It builds trust instead of confusion.
Personal information and health information are approved separately. Approving one never silently approves the other.
Lets everyday contact-type data flow to the assistant un-redacted — your deliberate choice, recorded for audit.
A separate, deliberate decision for the most sensitive category. Off until you turn it on.
Enterprise and professional publishers who run a mix of public and non-public editions — anyone with catalogs or publications that carry customer contact details, subscriber data, or health-adjacent content, and who answers to a compliance, legal, or data-governance stakeholder.
Digital Quire automatically detects and redacts common structured sensitive data (such as card numbers, SSNs, medical record numbers, and phone numbers) and gives account holders explicit control over what is shared with external AI. Automatic detection is strong but not guaranteed to catch every possible free-form mention. These capabilities support your organization's data-governance obligations; they are not themselves a HIPAA, GDPR, or other compliance certification.