Zero-Knowledge AI Privacy Architecture Auditor

Verify claims like "Nobody, including the provider, can have access to your data". Simulate cryptographic attestations, Trusted Execution Environments (TEEs), on-device SLMs, and metadata leakage across smart wearables and personal AI assistants.

Pipeline Nodes Hardware TEE

Client Ingestion & Sensor Gate Where biometric audio, visual feed, and ambient context are first captured. Model Inference Runtime Physical memory isolation during prompt execution and transformer forward pass. Remote Attestation & Verification Can a third party mathematically prove the exact binary running on the GPU?

Client-Side End-to-End Encryption Oblivious Routing / Blind Ingress IP Ephemeral RAM Execution (Zero Log Disk) Telemetry & Crash Dump Stripping

Live Inference Topology

E2E Enclave Channel Active

1. Sensors SECURE

Audio/Mic bound to hardware enclave root.

AES-256-GCM Ephemeral

2. Transport MASKED

Oblivious HTTP relay. IP severed from payload.

HPKE + Blind OHTTP

3. Compute ENCLAVE

Confidential GPU TEE. Host kernel has no read access.

AMD SEV-SNP Attested

4. Persistence EPHEMERAL

RAM-only context window. Wiped upon token stream end.

Non-Persistent Volatile

Cryptographic Channel Status:

Silicon Quote Verified — Provider cannot inspect inference memory.

Provider Blindness Score

94/100

Subpoena & Compelled Access Immunity

HIGHCryptographically Impossible

Passive Side-Channel Exposure

LOW0.08 bit/token

Threat Vector Audit Matrix Live Spec Verified

Audit ready. Real architecture parameters simulated.

Understanding "Zero-Access" AI Claims

When tech leaders state that "nobody, including ourselves, can have access to your data", this claim cannot be verified solely through privacy policies or legal terms of service. Genuine zero-access architectures require confidential computing: hardware-enforced memory isolation where CPU/GPU memory is encrypted on the silicon bus, preventing even hypervisors, cloud operators, root administrators, or court subpoenas from reading RAM contents.

However, confidential compute is only as strong as its Remote Attestation. If the client wearable does not verify an unforgeable cryptographic silicon quote before sending the key, the host provider could silently route traffic to standard unencrypted GPUs.

Architectural Vulnerabilities to Check

Side-Channel & Packet Size Analysis

Even if prompt text is encrypted, token-by-token streaming timing and response packet sizes can reveal the identity of words or medical topics via traffic fingerprinting unless padded with constant-rate dummy frames.

Remote Attestation vs. Marketing Trust

Without client-verified hardware quotes signed by silicon vendor root keys (AMD, Intel, NVIDIA), a cloud service can claim enclave isolation while running standard debugging and logging configurations.

Telemetry and Diagnostic Crash Dumps

If an assistant crashes during inference, un-sanitized core dumps sent to developer telemetry servers can accidentally persist raw prompt strings in cleartext storage.