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

Shadow AI discovery

Find AI introducedthrough trusted vendors.

Discover AI services that enter through SaaS platforms, model APIs, agents, and downstream providers missing from the declared inventory.

Check for hidden AI
Product evidence
Vendor Chain
Illustrative Melurna vendor-chain record showing an approved vendor, a downstream AI service, sensitive data, disclosure status, and preserved evidence
Agent / APIAI-shaped discovery
Declared ↔ Seeninventory comparison
Initiatorroute back to cause

Decision view

Shadow AI can begin with an approved application.

Compare the declared inventory with the observed recipient chain, then connect hidden AI to the data, initiating surface, and vendor relationship around it.
Declared inventoryApproved SaaS

CRM platform

Analytics suite

Observed recipient chainThree additional services

AI enrichment

Model gateway

Agent runtime

Missing from inventory

Discover Shadow AI

Identify hidden AI recipients, model endpoints, inference patterns, embedded copilots, and AI-enabled service calls in observed traffic.

  • Direct model-provider calls
  • Embedded AI features
  • Agent and inference endpoint signals
Illustrative Melurna compliance drift view comparing approved statements with current observed data journeys and material changes
Compliance Drift

Trace the sensitive path

Show which data types, user attributes, session identifiers, customer details, transaction records, or credentials travel with each AI request.

  • Raw and transformed identifiers
  • Cross-domain linkability
  • Sensitivity-weighted evidence
Illustrative Melurna research evidence ledger showing recipient chains, AI ownership, disclosure comparisons, cross-border journeys, and changes over time
Research Evidence Ledger

Explain the initiator

Connect the transfer to the page, script, feature, or vendor relationship that initiated it without exposing raw customer secrets.

  • Redacted initiator chain
  • First- through fourth-party attribution
  • Business-surface context
Illustrative Melurna journey change monitor comparing a current sensitive-data path with the previously observed recipient chain
Journey Change Monitor

Move from discovery to governance

Route the finding into approval, blocking, exception, remediation, and ongoing-monitoring workflows with a refreshable baseline.

  • AI TPRM handoff
  • Policy and disclosure review
  • Remediation verification
Illustrative Melurna Shadow AI policy record showing evidence, monitoring, policy gaps, ownership, and review status
Shadow AI Policy Record

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

Reveal the AI data wake around the organization.

Request a Shadow AI evidence review for a company or portfolio.

Check for hidden AI Start with one application, vendor, or customer journey.