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New · Covered by TechCrunch: MELURNA traces hidden third-party data flows.Read the research
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Enterprise

For EnterprisesUnify cyber, privacy, AI, and third-party risk around observed data movement.

Insurance

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

By team

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.

By industry

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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Financial services

Follow regulated datathrough every handoff.

Trace identity and transaction data through processors, fraud services, analytics, cloud infrastructure, and downstream providers.

Review a financial data path
Product evidence
Finance Data Lineage
Illustrative Melurna finance data-lineage view following payment data from a public journey to a downstream fraud model
GLBAprivacy obligations
DORAoperational resilience
Nth partyvendor visibility

Decision view

The payment may settle before the data journey ends.

Separate the transaction rail from the data rail to see which recipients receive identity, account, device, and payment context after the financial action completes.
Customer actionAccount funding
Transaction rail
ApplicationPayment processorSettled
Data rail
IdentityFraud serviceAnalyticsDownstream cloud
Account and payment context
Data movement continues after settlement

Customer-data journeys

Trace identity, account, application, and transaction signals across the digital service chain.

  • First- to fourth-party paths and beyond
  • Sensitive field detection
  • Cross-border destinations
Illustrative Melurna journey change monitor comparing a current sensitive-data path with the previously observed recipient chain
Journey Change Monitor

Vendor oversight

Continuously observe processors, embedded services, and infrastructure beyond the vendor inventory.

  • Sub-processor discovery
  • Concentration risk
  • Behavior changes
Illustrative Melurna compliance drift view comparing approved statements with current observed data journeys and material changes
Compliance Drift

Compliance evidence

Map observations to financial, security, and privacy requirements with clear supporting context.

  • GLBA and NYDFS
  • SEC and FINRA context
  • SOC and DORA
Illustrative Melurna evidence methodology showing observation, recipient resolution, policy comparison, risk context, and preserved proof
Evidence Methodology

Decision packages

Deliver executive, compliance, and change reports that keep findings linked to evidence.

  • Audit-ready reporting
  • Material-change alerts
  • Remediation verification
Illustrative Melurna evidence ledger showing status, source, category, recipient, and ownership filters
Evidence Ledger

Continue exploring

Enterprise risk intelligenceFollow sensitive data wherever it goes.Security and enterprise riskPrioritize the risk the data can reach.Privacy, legal, and complianceSee what the policy cannot show.

Data Risk Review

See the vendor path behind the financial control.

Request ongoing data-movement intelligence for a financial institution or portfolio.

Review a financial data path Start with one application, transaction journey, or critical vendor.