Proactive risk detection
Identify material exposure through ongoing monitoring, ongoing observations, and evidence-backed alerts.
- Ongoing risk detection
- Sensitive-data path changes
- Material exposure alerts
Third-party privacy risk management
Know where vendor datagoes next.
See when an approved third party sends sensitive data to AI services, subprocessors, identity providers, or other downstream recipients.
Product evidence
Continuoussurface discovery
Evidence-firstrisk prioritization
1st → nth partyparty visibility
Decision view
Your approved vendor may be only the first recipient.
Connect each transfer to the initiating journey, data involved, recipient owner, and downstream path so vendor review reflects observed behavior.EmailAccount IDSession data
OriginCustomer journey
ReviewedApproved vendor
DownstreamAI service
DownstreamAnalytics recipient
Industry perspective
I've seen many third-party risk products, but nothing like the intelligence that Melurna is giving. I've never seen anything like what they've built.
Comprehensive discovery
Map the digital footprint, including shadow IT, cloud services, trackers, SDKs, and third-party integrations.
- Shadow service discovery
- Vendor and hostname attribution
- Data-flow mapping
Risk prioritization
Rank findings using sensitivity, destination, recipient depth, compliance context, and observed exposure–not a vulnerability count alone.
- Privacy-weighted scoring
- Business-impact context
- Trend analysis
Platform integration
Route evidence into the systems teams already use without separating the score from the facts behind it.
- API-first architecture
- SIEM and GRC feeds (Coming soon)
- Ticketing workflows
Data Risk Review
Measure the exposure your inventory cannot see.
Start with one domain and map the sensitive-data ecosystem around it.
Review a vendor relationship Start with one vendor, domain, or third-party relationship.