Privacy By Design
Privacy Preservation and Secure API Model in Faceoff
Faceoff is designed to preserve data privacy and confidentiality by offering companies only an API for video analysis, without offering any cloud storage or video handling infrastructure. This design ensures that customer videos never leave their own secure environments. Faceoff does not store, view, or access any video data. Instead, Faceoff only monitors API usage metrics (number of videos processed) without seeing or saving the content.
Privacy by Architecture
Dual-enclave topology separating in-perimeter video computation from remote metadata licensing.
CUSTOMER INFRASTRUCTURE
AWS / Azure / GCP / Private Cloud / On-Premise
FACEOFF
Central Server & Usage Telemetry
Architecture and Workflow Sequence:
Faceoff provides a lightweight, secure REST API / SDK that companies deploy inside AWS, Azure, GCP, or private cloud.
Companies upload and process video streams entirely within their own infrastructure perimeter.
The API endpoint internally analyzes video, generating trust scores and model outputs locally.
Faceoff central server is only notified of API call metadata. No video, frames, or biometric features are ever transmitted.
Five Privacy Principles
Architectural guarantees enforced across every SDK, API container, and enterprise deployment.
01 — Data Localization
Video remains inside the customer's environment.
02 — Minimal API Communication
Only essential usage metadata is communicated.
03 — Stateless Processing
Video is processed on-the-fly and discarded after processing.
04 — Secure Authentication
Unique API keys identify and authenticate companies.
05 — Auditability
Organizations can inspect and audit their local deployment.
Tracking Video Count Without Accessing Data
Every API call is counted via an internal trigger whenever a video is processed. Faceoff maintains only statistical records of usage, never user content.
- • Number of API requests (videos analyzed)
- • Associated company API key
- • Exact timestamp of request
- • Internal execution status code
- • No video frames or raw video payload
- • No audio streams or transcripts
- • No biometric embeddings or face vectors
- • No metadata (filenames, camera info, user IDs)
Why This Approach Is Highly Privacy-Preserving
| Aspect | Traditional Cloud-Based Systems | Faceoff API-Based Private Deployment |
|---|---|---|
| Data Residency | Videos are transmitted to and stored on third-party cloud infrastructure, often outside organizational control. | Videos remain within the organization's secure environment; no external transmission or storage. |
| Privacy Risk | High risk due to centralized storage and third-party access, increasing vulnerability to breaches and misuse. | Ultra-low risk: Faceoff does not receive or access video data; full control remains with the data owner. |
| Compliance Complexity | Data movement across jurisdictions can raise compliance challenges (e.g., GDPR, HIPAA). | Simplified compliance as data never leaves the organization's infrastructure or regional boundaries. |
| Trust Model | Requires trust in third-party cloud provider's security, policies, and access controls. | Trustless by design: Faceoff operates entirely within the client's infrastructure; zero data visibility. |
| Data Ownership | Cloud providers may store and potentially access user data, raising concerns around ownership and consent. | Complete data ownership and custody retained by the client organization at all times. |
| Latency and Performance | Dependent on internet speed and remote processing; may experience network bottlenecks. | Local processing ensures faster response times, reduced latency, and high availability. |
| Deployment Flexibility | Tied to provider's infrastructure and policies; limited customizability. | Highly modular: deployable on any cloud, hybrid, or on-premise setup under full client control. |
| System Auditing | Limited transparency into backend operations; difficult to fully audit data flow. | Full auditability: organizations can inspect and validate API behavior locally. |
| Scalability | Scales with provider cost; often incurs increasing fees with usage. | Scales with organization's own infrastructure; predictable cost and usage metrics. |
| Usage Tracking | Full visibility by provider, including data content, user behavior, and volume. | Only aggregate usage statistics (e.g., number of API calls) are shared with Faceoff. No data content is tracked. |
Compliance Readiness
Because Faceoff never accesses user data, it naturally aligns with global regulatory standards. Companies using Faceoff can certify privacy compliance easily.
Because video is processed locally, zero cross-border data transfer occurs. Full compliance with data minimization & storage limitation mandates.
Telemedicine and patient biometric streams never leave covered entity infrastructure, eliminating external BAA exposure risks.
Strictly aligns with standard-defined access control, local perimeter security, and air-gapped isolation controls.
Zero retention, profiling, or secondary sale of consumer biometric identifiers or personal video records.
Your Data Stays Yours.
Faceoff is designed to analyze video without taking ownership or custody of the video itself.