Observe
Observe the public digital surface
Third-party data risk analysis
Follow the data around your organization.
Melurna monitors sensitive data across websites, applications, and customer journeys, revealing hidden vendors, AI services, downstream recipients, and changes over time.
No agents or integrations No internal-system access
Resolve
Identify data, recipients, and initiators
Compare
Test policy and control expectations
Act
Route evidence into action
What the profile will answer
The policy is context. The transfer is evidence.
Which sensitive data classes move?
Identify personal, health, financial, credential, device, session, and transaction signals in observed requests.
Who receives the data?
Resolve first-, third-, and fourth-party recipients instead of stopping at the first vendor hop.
Where does AI enter the chain?
Surface AI-enabled endpoints, model providers, agents, and downstream processors that ordinary inventories miss.
What initiated the transfer?
Connect the request to the page, script, interaction, consent state, and causal initiator behind it.
Which jurisdictions receive it?
Map cross-border processing and high-risk destinations to the recipient evidence that supports the conclusion.
Does observed behavior match the policy?
Compare wire behavior with disclosures, consent choices, expected controls, and regulatory obligations.
Evidence chain preview
Every finding includes the evidence behind it.
SurfaceDataRecipientRegionCompareDecision
Every conclusion stays connected to the request, identifier, recipient chain, and observed condition that produced it.
Decision-ready outputs
One observation layer. Three ways to act.
Evidence StudioPackage each observed path with the analysis behind it.
AI control postureConnect vendor exposure to data, disclosure, and change.
Decision dossierCarry the evidence into underwriting or remediation.
Third-party data risk analysis