Skip to main content
New · Covered by TechCrunch: MELURNA traces hidden third-party data flows.Read the research
Request Intelligence
Menu
Platform
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
Research
Request Intelligence

Sensitive-data journey intelligence

Trace what the organizationcannot see from inside.

Melurna observes browser and application traffic, identifies linkable values, resolves every recipient, and preserves the evidence chain from collection to decision.

Request an evidence briefing
Product evidence
Evidence Methodology
Illustrative Melurna evidence methodology showing observation, recipient resolution, policy comparison, risk context, and preserved proof
1st → 4thparty visibility
A–Fdecision-friendly grading
Observednot self-attested

Why the evidence matters

One platform. One observed source of truth.

The same traffic evidence powers privacy, AI, cyber, compliance, and underwriting views. Teams can move from a portfolio signal to the company, observation, flow, recipient, and redacted evidence behind it.

Observe the behavior

Recurring observations capture requests, responses, cookies, headers, query parameters, destinations, timing, and interaction context.

  • Browser and application traffic
  • Repeatable observation workflows
  • Bounded evidence capture
Illustrative Melurna journey change monitor comparing a current sensitive-data path with the previously observed recipient chain
Journey Change Monitor

Resolve the ecosystem

Domains, hostnames, IP ownership, CNAMEs, recipients, locations, and company relationships turn network events into business context.

  • Third- and fourth-party chains
  • Company and vendor attribution
  • Cross-border destinations
Illustrative Melurna vendor-chain record showing an approved vendor, a downstream AI service, sensitive data, disclosure status, and preserved evidence
Vendor Chain

Find the identity signal

Linkable data signals identify user-, session-, transaction-, and request-level values with uniqueness and contextual evidence.

  • PII and transformed identifiers
  • Session and device correlation
  • Cross-domain propagation
Illustrative Melurna research evidence ledger showing recipient chains, AI ownership, disclosure comparisons, cross-border journeys, and changes over time
Research Evidence Ledger

Deliver the decision

Scores, findings, compliance mappings, journey views, and reports keep the conclusion connected to the observation.

  • Privacy, AI, and cyber scores
  • Redacted initiator evidence
  • Evidence-refresh and remediation history
Illustrative Melurna Evidence Studio showing sensitive-data journeys, disclosure gaps, underwriting evidence, and analysis progress
Evidence Studio

Continue exploring

Privacy exposure, observedFollow personal data beyond the policy.AI usage and data movementFind the AI your inventory missed.Underwriting and portfolio evidenceUnderwrite the risk behind the claim.

Data Risk Review

See the evidence system on a real company.

Start with a company name or domain. No questionnaire is required to begin.

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