Security#
Notes#
NVIDIA provides a reference architecture for Audio2Face-3D (A2F-3D) service, securely develops SW and publishes the containers securely. For production environments the end user is responsible for deploying, defining their trust boundaries, securing their deployments (logging, monitoring, patching, Authorization & Authentication, granular access control, securing communication channels, ensuring containers are secure and free from vulnerabilities..)
Input#
Input data file (Audio) may originate from outside the device where the A2F-3D service is running
Audio toxicity checks are not provided
Logging & Auditing#
Audio2Face-3D service doesn’t provide auditing capabilities. Although basic logging is provided, it is within the scope of the “Device Trust Boundary” and the service logs are limited to the container/device. Applications/Workflows that make use of the Audio2Face-3D service are responsible for logging and auditing
AI models#
The AI models come as part of the Audio2Face-3D container. In case of Audio2Face-3D NIM, models can be downloaded from NGC quick start
The AI models are not encrypted
Encryption#
Audio2Face-3D service provides TLS support via certificates. Please refer to the TLS support section for more details
TLS Handshake establishes an encrypted connection. The data is encrypted in transit
By Default, Audio2Face-3D service doesn’t encrypt the data for gRPC communication. Refer to the TLS support to deploy Audio2Face-3D service with TLS to enable encryption
Data collection#
Audio2Face-3D services don’t collect any sensitive information including any private user data
Input Audio data is processed to generate blendshapes and the audio is not stored