Find Every Shadow Voice Source
Before Regulators Do
On average, organisations have 23 undiscovered voice data sources creating GDPR Art. 9 violations. Viwago + PHANTAQSM scans your entire infrastructure in under 4 hours.
Voice data = GDPR Art. 9 special category. Every unmanaged source = up to €20M fine.
What We Discover
Four categories of shadow voice data — each carrying significant GDPR Art. 9 exposure.
Voice Recording Sources
Detect unauthorised voice recording endpoints, rogue VAPI instances, and shadow voice AI deployments.
Voice Data Repositories
Discover where voice recordings and transcripts are stored, including shadow cloud storage and unmanaged S3 buckets.
Third-Party Voice Processors
Identify all third-party tools processing voice data — STT engines, LLMs, and voice analytics platforms.
Biometric Data Flows
Map all voice biometric data flows under GDPR Art. 9 special category data obligations.
Sample Discovery Report
6 sources found · 2 critical · 2 high · 1 medium · 1 low
| Source | Risk |
|---|---|
| analytics.thirdparty.io | CRITICAL |
| shadow-storage-bucket-02 | CRITICAL |
| legacy-stt-api.internal | HIGH |
| vapi-dev-staging.io | HIGH |
| voice-logs-archive-2024 | MEDIUM |
| transcript-db-qa | LOW |
Beyond Traditional Data Mapping
Standard discovery tools find registered sources. PHANTAQSM finds the ones attackers are using — and traps them in the process.
Quantum Pattern Analysis
Identifies voice data flows that evade traditional network monitoring using quantum-enhanced pattern recognition.
Deceptive Beacon Deployment
Synthetic voice data beacons trigger alerts when accessed by unauthorised systems — exposing shadow actors.
Blockchain Data Lineage
Every discovered source is logged on an immutable blockchain trail — audit-ready evidence for regulators.
Start Your Voice Data Discovery Scan
Complete visibility of all voice data sources across your organisation in under 4 hours.