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New · Covered by TechCrunch: MELURNA traces hidden third-party data flows.Read the research
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For EnterprisesUnify cyber, privacy, AI, and third-party risk around observed data movement.

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For Cyber InsurersSupport underwriting, portfolio, claims, cyber, privacy, AI, and risk-engineering decisions.

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Security & Enterprise RiskPrioritize threats by the sensitive data, vendors, and business impact they can reach.Privacy, Legal & ComplianceCompare sensitive-data behavior with consent, disclosures, contracts, and obligations.AI GovernanceGovern AI by connecting every service to its data, purpose, recipient chain, and change history.

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FinanceMap customer and transaction data across vendors and regulated boundaries.HealthcareVisualize PHI journeys across apps, devices, analytics, and vendors.View All IndustriesExplore how Melurna applies across regulated and data-intensive industries.
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Privacy exposure, observed

Follow personal data beyondthe policy.

See which identifiers leave the first party, who receives them, what initiated the transfer, and whether disclosures match observed behavior.

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Product evidence
Vendor Chain
Illustrative Melurna vendor-chain record showing an approved vendor, a downstream AI service, sensitive data, disclosure status, and preserved evidence
PII / PHIsensitivity context
Policy ↔ Wiredisclosure alignment
Initiatorwhy the transfer began

The policy is context. The transfer is evidence.

Melurna compares stated collection, sharing, processing, residency, and consent practices with observed data movement so teams can prioritize the gaps that create real regulatory, litigation, and claim exposure.

Sensitive-data journeys

Trace raw and transformed identifiers from collection through every observed destination.

  • Sensitive data, e.g., PII, PHI, and credentials
  • Hashed and encoded variants
  • Session, device, cart, and order identifiers
Illustrative Melurna compliance drift view comparing approved statements with current observed data journeys and material changes
Compliance Drift

Recipient depth

Separate first-party processing from direct vendors and downstream recipients that never appear in the inventory.

  • Third- and fourth-party classification
  • Hosting and infrastructure context
  • Repeated-vendor aggregation
Illustrative Melurna journey change monitor comparing a current sensitive-data path with the previously observed recipient chain
Journey Change Monitor

Consent and disclosure gaps

Compare what the visitor chose and what the policy states with the transfers that still occurred.

  • Accept, reject, no-action, and GPC states
  • Undisclosed recipients
  • Purpose and geography mismatches
Illustrative Melurna remediation verification view showing changed recipients, workflow ownership, and evidence-backed confirmation
Remediation Verification

Continue exploring

Sensitive-data journey intelligenceTrace what the organization cannot see from inside.AI usage and data movementFind the AI your inventory missed.Underwriting and portfolio evidenceUnderwrite the risk behind the claim.

Data Risk Review

See where the privacy promise diverges from the wire.

Request a redacted privacy evidence review for a company or portfolio.

Request an evidence briefing Review slots are scheduled in the order requests are received.