Govern sensitive data before AI sees it.
Discover, classify, and redact personal and confidential data before AI ever touches it. PII, financial identifiers, privileged information: all governed at the perimeter, before the model sees them.
// before ai sees it · inside the perimeter
AI without redaction is a data breach in waiting.
Enterprises sit on years of documents, tickets, and database rows packed with names, addresses, payment details, health records, and privileged information. The fastest way to leak it is to feed it into an AI system without scrubbing it first.
Cloud-based DLP and redaction tools require the data to leave the perimeter to be processed. For regulated industries, that is the precise outcome the policy was written to prevent. The only acceptable redaction layer is one that runs inside the perimeter, before any AI does.
Find it, classify it, redact it. On premise.
Limit Data: PII Redaction scans the customer's document stores, databases, and message queues, classifies what it finds against the relevant regulatory categories, and redacts before any downstream system sees the payload.
- 01
Discovery across documents, databases, and queues
Scans document stores, structured databases, file shares, and message queues. Surfaces where sensitive data lives without requiring it to be moved or copied.
- 02
Classification against regulatory categories
PII (GDPR, UK-GDPR), financial identifiers (PCI), health data (HIPAA-equivalent), privileged information, and custom customer-defined categories. Each finding includes the rule that matched and the confidence score.
- 03
Redaction at the boundary of any AI system
Sensitive fields are redacted, tokenized, or replaced with structure-preserving synthetic data before any payload reaches an AI model. The original stays in the customer's controlled store; only governed copies move.
- 04
Evidence trail for the data protection officer
Every scan, every classification, every redaction is logged with the rule, the operator, and the destination. DPO requests and audit reviews are answered from the evidence store, not from forensic reconstruction.
Inside the data perimeter. Where the data lives.
Limit Data: PII Redaction deploys inside the customer's data environment. It reaches into existing document stores, databases, and message systems through their native protocols. Data does not leave the perimeter to be scanned.
The application integrates with existing identity and access controls. Operators see only the data their role permits; classification rules are versioned and reviewable; deletion requests flow through the existing data-subject-rights workflow.
- Where it runs
- Inside the customer data environment, alongside the document stores and databases it scans. No off-perimeter dependency at runtime.
- What stays on premise
- Source data, scan results, classifications, redacted payloads, evidence records, and rule definitions. All controlled by the customer.
- Who controls the data
- The customer is the controller and the data protection officer. Limit Systems is a processor under the per-deployment DPA, with no access to the data being scanned.
- Evidence the DPO can use
- Per-finding records with rule, classification, confidence, redaction action, and downstream destination. Format aligns with GDPR Art. 30 record-keeping requirements.
Every application runs on the same sovereign platform. The identity layer, the audit trail, the policy engine, the evidence retention. Built once, used by all. Explore the platform →
See it in your environment.
Walk us through your perimeter, your evidence requirements, and the systems already in place. We'll show you how the deployment looks.