Knowledge Base
Find answers to frequently asked questions about our services, products, and processes.
How does Augmento handle data privacy and security?
Security and privacy are foundational: all data is encrypted in transit (TLS 1.3) and at rest (AES-256), we're GDPR and CCPA compliant with full data processing agreements, user consent is collected via clear opt-in before any data capture, you own 100% of the data collected through your campaigns, we perform regular third-party security audits, our infrastructure runs on SOC 2 certified cloud providers, and we offer data residency options for EU-based clients.
How does Augmento handle first-party data collection?
In a post-cookie world, first-party data is gold. Augmento helps you collect it ethically through value exchange: fans willingly share their email, location preferences, and behavioral data in return for exclusive AR content. All data collection is GDPR and CCPA compliant with clear opt-in flows. Data is stored securely and owned entirely by you — we never sell or share your audience data. You get direct relationships with your fans, not rented ones.
What are the exact privacy risks of creating 3D virtual tours of tenant-occupied rental properties?
3D scanning captures everything in the 360-degree environment at high resolution: personal belongings, photographs, documents, medication labels, religious items, and lifestyle indicators. University of Washington research examining 44 tours across 44 states found widespread exposure of sensitive personal data including names on mail, visible passwords on whiteboards, credit card numbers, and college diplomas — all navigable and zoomable by any internet user viewing the tour.
How to automatically blur faces, reflections, and sensitive documents in a Matterport 3D scan?
Matterport includes automated face blurring in its processing pipeline. However, a critical vulnerability exists: while facial recognition algorithms blur faces in direct view, they frequently fail to detect and blur the same faces reflected in mirrors, glass surfaces, and TV screens. Best practice: manually review the entire scan for reflective surfaces and either re-scan those areas with reflections covered, or use Matterport's editing tools to manually patch sensitive areas.
How do unblurred reflections in mirrors compromise privacy in real estate 3D virtual tours?
This is known as the "reflection risk" — a significant gap in current AI privacy protection. Automated blurring algorithms detect faces and text in direct camera view but consistently fail to identify the same content reflected in mirrors, glass tables, window panes, and TV screens. This means a resident's face blurred in direct view remains fully visible in a nearby mirror's reflection, along with any sensitive documents or screens reflected in glass surfaces throughout the property.