Apply semantic, context-aware redaction policies to protect PII, PHI, and sensitive business data before storage or sharing.
Protecting Personal Identifiable Information (PII) is mandatory, but manual redaction is slow, inconsistent, and often misses sensitive fields hidden within complex clauses or tables.
Human reviewers miss PII or redact too much, altering document meaning.
Redaction becomes a bottleneck for sharing or external review.
Different teams redact the same document with varying standards.
Inability to share necessary data (e.g., for model training) without leaking PII.
High fines associated with GDPR, CCPA, and HIPAA violations due to data leaks.
Papyri uses the Redactor node, trained by AI Coach, to identify and mask sensitive entities with high precision. Policies can be role-based (e.g., Legal can see it, Operations cannot) and output is verifiable by the Reviewer. This ensures compliance confidence and allows for the safe generation of synthetic data for QA/training purposes.
The core focus is on identifying sensitive entities within the document's structure and applying the correct masking policy (view-only or permanent) before output.
| Papyri Node | Role in Solution |
|---|---|
| Reader | Creates the Digital Twin, providing the precise spatial location of all text for accurate redaction. |
| Extractor | Identifies specific sensitive entities (e.g., names, dates of birth, account numbers). |
| Redactor | Applies the masking policy (blackout, blur, or synthetic replacement) based on policy and entity type. |
| AI Coach | Trains the Redactor on proprietary PII/PHI patterns specific to the organization's documents. |
| Reviewer | Human-in-the-Loop validation to ensure the Redactor did not miss any sensitive information. |
| Archiver | Stores the original document securely, alongside the sanitized, redacted version for sharing. |
Minimizes the risk of fines by ensuring PII is consistently and accurately masked.
Enables external sharing of documents (e.g., with counsel) with confidence.
Safely creates realistic data for model training and QA without real PII exposure.
Automates a highly sensitive, time-consuming compliance task.
PII Protection is a baseline requirement for any organization handling customer or employee private data.
Redaction logic can be deployed on-prem or in a private cloud, meeting stringent data residency requirements.
Redaction policies can be defined based on the downstream user's role, enabling view-only masking for internal compliance.
Generates an auditable log for every redaction action, including the specific PII field redacted, the policy applied, and the user who approved it.
Ensures pixel-perfect permanent redaction that cannot be reversed or recovered from the output document's metadata.
Utilizes encryption during transit and storage for both the original and sanitized documents.
Dashboard metrics track the volume and type of PII encountered and masked across the enterprise.
