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

Observe, score, and act on the complete data journey.

Third-Party Privacy Risk ManagementMonitor third-party privacy risk and prioritize what changes.Threat IntelligenceConnect sensitive-data movement to vendor, vulnerability, fourth-party, and portfolio risk.AI TPRMNewContinuously monitor AI vendors, data exposure, downstream providers, and evidence gaps.Shadow AI DiscoveryFind unapproved models, agents, AI-enabled vendors, and the sensitive-data paths around them.RemediationTurn prioritized findings into accountable workflows and verified closure.Risk & Compliance MonitoringContinuously map observed vendor behavior to regulatory frameworks.Why Melurna?Understand why questionnaires cannot replace observed data-journey evidence.
Cover of Silent AI: The Next Coverage Gap white paperFeatured white paper · NewSilent AI: The Next Coverage Gap.

How non-affirmative AI coverage, hidden AI dependencies, and unobserved data flows create growing underwriting and portfolio risk.

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Solutions
Solutions

Enterprise outcomes for every risk team, with specialized paths by industry.

EnterpriseFor EnterprisesUnify cyber, privacy, AI, and third-party risk around observed data movement.
InsuranceFor Cyber InsurersSupport underwriting, portfolio, claims, cyber, privacy, AI, and risk-engineering decisions.
By teamSecurity & 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 industryFinanceMap 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.
Illustrative Melurna underwriting portfolio showing material findings, evidence readiness, vendor concentration, renewals, and referralsStart with one companySee who receives the data.

Follow sensitive data past the approved vendor to hidden recipients, Silent AI, and material changes.

  • Sensitive data paths
  • First to nth-party recipients
  • Policy and AI risk
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Company
Company

Learn about Melurna or contact the right team.

AboutLearn more about MELURNAContact UsContact sales, research, or media.
Research
Research

Evidence and field intelligence for the AI risk era.

White papersExecutive research on privacy, AI, and cyber exposure.Research labOriginal findings grounded in observed data movement.
Popular:Silent AI
Cover of Silent AI: The Next Coverage Gap white paperFeatured white paper · NewSilent AI: The Next Coverage Gap.

How non-affirmative AI coverage, hidden AI dependencies, and unobserved data flows create growing underwriting and portfolio risk.

Read the white paper
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Platform
Third-Party Privacy Risk ManagementMonitor third-party privacy risk and prioritize what changes.Threat IntelligenceConnect sensitive-data movement to vendor, vulnerability, fourth-party, and portfolio risk.AI TPRMContinuously monitor AI vendors, data exposure, downstream providers, and evidence gaps.Shadow AI DiscoveryFind unapproved models, agents, AI-enabled vendors, and the sensitive-data paths around them.RemediationTurn prioritized findings into accountable workflows and verified closure.Risk & Compliance MonitoringContinuously map observed vendor behavior to regulatory frameworks.Why Melurna?Understand why questionnaires cannot replace observed data-journey evidence.Cover of Silent AI: The Next Coverage Gap white paperFeatured white paperSilent AI: The Next Coverage Gap.Read the white paper
Solutions

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.
Company
AboutLearn more about MELURNAContact UsContact sales, research, or media.
Research
Cover of Silent AI: The Next Coverage Gap white paperFeatured white paperSilent AI: The Next Coverage Gap.Read the white paperWhite papersExecutive research on privacy, AI, and cyber exposure.Research labOriginal findings grounded in observed data movement.
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Remediation verification

Verify the risky pathis gone.

Keep each action tied to the original data path, then compare refreshed observations to confirm whether the recipient, value, or control changed.

See a remediation workflow
Product evidence
Remediation Verification
Illustrative Melurna remediation verification view showing changed recipients, workflow ownership, and evidence-backed confirmation
Prioritizedresolution queue
Accountabletask ownership
Evidence refreshverified closure

Decision view

Closure should be visible in the data journey.

Move from finding to owner, recommended action, refreshed observation, and verified change without losing the path that made the issue material.
BeforeCustomer emailMarketing vendorUnknown recipient
AfterCustomer emailApproved vendor Recipient removed

Consent & Preference Assurance

Verify that the control changed the outcome.

After consent configuration, tag, or vendor changes, confirm that the related data movement stopped or changed before closing the finding.

Explore consent assurance

Risk detection and prioritization

Identify privacy risks and prioritize severity, business impact, and regulatory implications.

  • Evidence-backed findings
  • Severity and impact context
  • Control mapping
Illustrative Melurna journey change monitor comparing a current sensitive-data path with the previously observed recipient chain
Journey Change Monitor

Leak prioritization

Prioritize work using risk score, compliance requirements, exposure context, and organizational tolerance.

  • Critical-path queue
  • Materiality context
  • Clear recommended action
Illustrative Melurna compliance drift view comparing approved statements with current observed data journeys and material changes
Compliance Drift
Coming Soon

Assignment and progress

Create accountable workflows with owners, deadlines, dependencies, escalation, and status visibility.

  • Owner and due date
  • Ticketing integration
  • Bottleneck monitoring
Illustrative Melurna evidence methodology showing observation, recipient resolution, policy comparison, risk context, and preserved proof
Evidence Methodology

Continue exploring

The same evidence. Another decision.

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

Do not let identified exposure become permanent backlog.

Connect the next finding to an owner, an action, and observable closure.

See a remediation workflow Review how one observed path moves from finding to verified change.
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