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Self-hosted sensitive-data security for the AI era.

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Privacy SecurityShipped

Regulated data, classified and mapped at detection time.

Perryscope detects personal and regulated data in repositories, documents, and images — classifies it PII, PHI, PCI, or Financial, tags the regulations it implicates, and masks it before anything touches disk.

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invoice_scan_004.pdf · page 2 of 3 · OCR
Customer: ████████ PERSON · PII · GDPR
Card: 4532 ···· ···· 9210 CREDIT_CARD · PCI · PCI DSS
PAN: █████1234█ IN_PAN · PII · DPDP
MRN: MRN-██████ MRN · PHI · HIPAA
risk score 78/100 · masked before persistence · bounding boxes stored
Detection engine

NLP where language matters. Checksums where format defines truth.

Microsoft Presidio with spaCy NLP detects contextual entities — names, locations, medical terms. Purpose-built recognizer packs handle structured identifiers, validating checksums where the format defines one, so an Aadhaar number that fails Verhoeff never becomes a finding.

India pack

AadhaarPANGSTINUPIIFSCPassportDriving licenseVoter ID

With format & checksum validators — coverage most Western DLP tools lack entirely.

Finance pack

SWIFT / BICRouting numbersIBANCVVExpiry datesCard numbers (Luhn)

Luhn and IBAN checksum validation cuts false positives at the source.

Healthcare pack

Patient nameMRNInsurance IDPhysicianHospitalDiagnosisPrescription

HIPAA-relevant entities recognized in code, documents, and scanned images.

Enterprise custom recognizers (recognizers/enterprise/) are a designed extension point. Biometric category: Coming Soon

Sources

Scan what your organization actually leaks.

Repositories

GitHub org, single repo, or explicit repo lists — the same scan orchestration as Secret Security, through the shared platform.

Documents

PDF — native-text, scanned, or mixed, classified page by page — DOCX including table cells, plus TXT, MD, CSV, JSON, and XML.

Images

PNG, JPEG, and TIFF through Tesseract OCR — with per-finding bounding boxes persisted, so you can see exactly where the data sits.

Compliance mapping

Every finding tagged with the regulations it implicates.

A finding can carry multiple regulation tags. Per-regulation dashboards show violation counts by repository and file, with CSV, TXT, and JSON exports as evidence. The compliance mapper is a per-regulation plugin — CCPA, LGPD, and POPIA are on the roadmap.

GDPR

EU personal-data protection — names, emails, locations, identifiers.

HIPAA

US health information — MRNs, diagnoses, prescriptions, insurance IDs.

PCI DSS

Payment card data — Luhn-validated card numbers, CVV, expiry dates.

DPDP

India's data protection act — Aadhaar, PAN, GSTIN, UPI, IFSC, and more.

Privacy workflow

Masked before it ever touches disk.

Policy-driven transforms — mask, redact, or anonymize — plus a 0–100 risk score are applied before persistence. Classification is deterministic, so findings are fully processed in one pass; there is deliberately no validation stage.

  • ✓Encrypted-at-rest storage under the shared platform crypto engine
  • ✓Raw values never appear in list APIs
  • ✓Risk scoring from category, sensitivity, compliance, and confidence
The reveal flow

An audit story you can defend.

1

Written reason required — no justification, no reveal.

2

Rate limit checked — sliding-window limits per key.

3

Decrypted in memory — never re-serialized to disk.

4

Audit log written — who, when, why. Immutable.

5

Value discarded — the reveal is a moment, not a state.

Prove your compliance posture from real scans.

Nine dashboard pages, per-regulation views, and exportable evidence — self-hosted.

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Part of the Perryscope platform — see also Secret Security and AI Guardienne, or explore the architecture.