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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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Cyber exposure management

Prioritize exposureby what it can reach.

Connect vulnerabilities and vendor events to sensitive data, critical journeys, and shared dependencies.

Review material cyber exposure
Product evidence
Finding Review
Illustrative Melurna finding review showing observed signals, recipients, dispositions, and evidence-linked recommended actions
Data + CVEmateriality context
Nth partydependency reach
Portfolioconcentration view

Decision view

The same vulnerability can carry very different business risk.

Materiality changes when the affected service receives sensitive data, supports a critical journey, or creates concentration across companies.
Technical eventCritical vendor vulnerability
Affected dependencyCustomer identity service

Shared across three public journeys

Data reachCredentials and account data
Business reachSign-in and account recovery
ConcentrationShared across business units
DecisionPrioritize by material reach

Prioritize by data impact

Focus on vulnerabilities and vendor events connected to sensitive customer, employee, health, payment, transaction, or credential data.

  • Sensitivity-weighted exposure
  • Recipient role and access
  • Material-impact context
Illustrative Melurna vendor-chain record showing an approved vendor, a downstream AI service, sensitive data, disclosure status, and preserved evidence
Vendor Chain

Map downstream dependencies

Reveal when an approved vendor extends exposure to subprocessors, infrastructure, identity providers, analytics partners, or AI services.

  • Nth-party dependencies
  • Vendor and infrastructure ownership
  • Cross-border exposure
Illustrative Melurna underwriting portfolio showing material findings, evidence readiness, vendor concentration, renewals, and referrals
Underwriting Portfolio

Measure concentration risk

Identify shared vendors and service dependencies across business units, companies, insureds, or portfolios.

  • Shared-recipient concentration
  • Correlated exposure
  • Portfolio segmentation
Illustrative Melurna remediation verification view showing changed recipients, workflow ownership, and evidence-backed confirmation
Remediation Verification

Verify exposure reduction

Connect remediation to the original observation and confirm whether the sensitive-data path, recipient, or control behavior changed.

  • Prioritized response
  • Before-and-after evidence
  • Historical risk record
Illustrative Melurna journey change monitor comparing a current sensitive-data path with the previously observed recipient chain
Journey Change Monitor

Continue exploring

Third-party privacy risk managementManage third-party privacy risk.Cyber threat intelligence platformThreat intelligence that follows the data.AI third-party risk managementManage AI risk beyond contracts.

Data Risk Review

Prioritize the exposure that can reach sensitive data.

Start with one company, critical vendor, or portfolio.

Review material cyber exposure Start with one service, vulnerability, vendor, or portfolio.