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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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Industry solutions

Different rules.Shared evidence.

Apply Melurna across regulated industries where sensitive-data movement, vendor dependence, AI adoption, and public trust create material risk.

See Melurna by industry

Melurna/Financial Services

FS
27

Data recipients

Across one customer journey

4

Undisclosed paths

Require policy review

3

Material changes

Since the prior analysis

What the evidence shows

  • Account and transaction data traced beyond the approved processor
  • Fraud and identity services resolved to their operating owners
  • Cross-border recipients compared with policy and vendor records
  • Material changes prepared for compliance and enterprise risk review
Regulatedobligation context
Data-intensiveexposure visibility
Adaptableindustry workflows

Why the evidence matters

Industry context shapes decisions, not evidence.

The applicable obligations and buyers may differ, but each organization still needs to know what data moved, who received it, how the relationship changed, and what requires action.

Financial services

Connect customer and transaction data to vendor APIs, downstream providers, operational resilience, privacy obligations, and enterprise concentration.

  • Banks and fintech
  • Investment and payments
  • Regulated vendor ecosystems
Illustrative Melurna finance data-lineage view following payment data from a public journey to a downstream fraud model
Finance Data Lineage

Healthcare and life sciences

Trace health and patient data across digital services, analytics, devices, vendors, and AI-enabled recipients.

  • Providers and health systems
  • Digital health and life sciences
  • PHI and consumer health data
Illustrative Melurna healthcare data-lineage view following patient data from intake to a downstream AI service
Healthcare Data Lineage

Insurance

Support underwriting, portfolio, claims, cyber, privacy, AI, and risk-engineering teams with independent company-level evidence.

  • Carriers and MGAs
  • Cyber underwriting and claims
  • Portfolio concentration
Illustrative Melurna underwriting portfolio showing material findings, evidence readiness, vendor concentration, renewals, and referrals
Underwriting Portfolio

Technology, retail, and beyond

Monitor fast-changing ecosystems of SaaS, cloud, advertising, analytics, identity, payment, AI, and customer-experience providers.

  • Technology and SaaS
  • Retail and e-commerce
  • Media, education, and other enterprises
Illustrative Melurna vendor-chain record showing an approved vendor, a downstream AI service, sensitive data, disclosure status, and preserved evidence
Vendor Chain

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

Bring observed data intelligence into your industry.

Start with a company, vendor ecosystem, customer journey, or portfolio.

Request an enterprise briefing For security, privacy, legal, compliance, AI governance, and enterprise risk teams.