Confidential Agents vs Secretarium Klave for AI: Side-by-Side Comparison (2026)

Confidential Agents

Enterprise security and AI teams deploying agents on regulated datasets will see immediate value in Confidential Agents' hardware-level encryption during inference, which eliminates the typical choice between data utility and privacy. The platform covers NIST PR.DS and PR.AA controls with cryptographic verification built in, meaning you get attestable proof of data isolation rather than policy assertions. Skip this if your use case is consumer-scale or doesn't involve cross-organizational data sharing; the operational overhead and pricing model assume you're solving a specific high-stakes problem, not running commodity AI workloads.

Secretarium Klave for AI

Enterprise and mid-market security teams deploying RAG systems on sensitive data will find real value in Secretarium Klave for AI because it guarantees data never leaves encrypted memory during inference, which is the only hard control that actually stops model training on confidential information. The platform maps directly to NIST PR.DS and PR.PS through hardware-backed TEE isolation and cryptographic data provenance, giving you verifiable lineage of what touched what. This is a narrow fit: if your AI workloads aren't handling regulated data or you're still evaluating whether you need confidential computing, you're overpaying for a specialist tool.