Confidential AI Inference at Scale
Multi-Party Inference with Confidential Computing
TEEs offer the only production-speed path to private multi-party inference.
Kian Vance
Senior Writer · · 14 min read
Private AI Review — Page 2
Confidential AI Inference at Scale
Model Weight Protection Inside Confidential Inference Servers
Hardware enclaves protect model weights where policy and access controls cannot.
Lorena Sundqvist13 min read
Confidential AI Inference at Scale
Encrypting Prompts and Responses in Transit to a TEE
TEEs encrypt prompts inside enclaves, closing the gap TLS leaves behind.
Kian Vance15 min read
Attestation and Verifiable Computing
Confidential Computing Attestation vs TLS Certificate Trust Models
Attestation proves what code is running; TLS only proves who you're talking to.
Anouk Mercer11 min read
Attestation and Verifiable Computing
RATS Architecture and Attestation Evidence Formats
RFC 9334 defines how remote systems prove their actual runtime state, not just their identity.
Preston Nardone14 min read
Attestation and Verifiable Computing
Verifiable Transparency Logs for Model Provenance
Cryptographic logs make it impossible to hide who trained a model or when it changed.
Lorena Sundqvist18 min read
Attestation and Verifiable Computing
ARM TrustZone vs Intel SGX for Attestation Workflows
SGX bakes attestation into silicon while TrustZone leaves it to implementers to build.
Preston Nardone12 min read
Attestation and Verifiable Computing
Attestation Token Replay and Freshness Attacks
Attackers replay valid tokens to bypass security checks that depend on current device state.
Lorena Sundqvist15 min read
Attestation and Verifiable Computing
Measured Boot and Platform Integrity for AI Servers
Measured Boot creates a tamper-proof record of everything that runs before your OS loads.
Preston Nardone13 min read
Attestation and Verifiable Computing
in-toto Attestation for AI Supply Chains
Cryptographically binding AI models to their provenance without reinventing supply chain security.
Kian Vance14 min read
Private AI Use Cases and Configuration
On-Device AI Inference on Apple Silicon for Privacy-Preserving Applications
Apple's unified memory architecture eliminates the bottleneck that kept AI models off phones.
Preston Nardone11 min read
Private AI Use Cases and Configuration
Configuring Local LLM Inference with Ollama for Data-Sensitive Workflows
Learn the configuration settings that keep sensitive data on your own machine.
Anouk Mercer14 min read
