Privatemode AI utilizes a multi-layered security technology architecture that consists of three main core protection mechanisms:
- end-to-end encryption: Full process encryption of data from the time it is sent from the user's device to the completion of processing by the AI, including the transmission process (TLS 1.3 protocol) and storage at rest (AES-256 encryption)
- confidential computing: Based on hardware trusted execution environments (e.g. Intel SGX), ensuring that data remains encrypted while it is being processed and that neither the AI model nor the infrastructure has access to the plaintext data
- Service Validation: Real-time verification of the integrity of the back-end service through hardware encryption certificates, and immediate termination of the session and warnings if anomalies are detected.
These technologies form a "defense-in-depth" system that enables a "zero-trust" security model even in cloud computing environments. Supported by the infrastructure of top-tier EU data centers, the system is also compliant with stringent data protection regulations such as GDPR.
This answer comes from the articlePrivatemode: an AI chat app that offers end-to-end encryption to protect enterprise data privacyThe
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