Confidential Agents for RAG vs Witness AI for Employees: Side-by-Side Comparison (2026)

Confidential Agents for RAG

Enterprise security teams deploying RAG and AI agents with sensitive customer or proprietary data will find Confidential Agents for RAG essential because hardware-enforced confidential computing eliminates the attack surface that application-layer encryption leaves open. The platform covers all three NIST data and platform security controls, meaning data stays encrypted in use, not just in transit and at rest. This is overkill for teams running non-sensitive workloads or those still experimenting with RAG in dev environments; the operational complexity and cost justify themselves only when data classification actually demands it.

Witness AI for Employees

Mid-market and enterprise security teams dealing with shadow AI sprawl should start here; Witness AI for Employees maps employee LLM usage across your org and blocks prompt injection and jailbreak attempts before they become incidents. The platform covers ID.AM and PR.AA across the NIST CSF 2.0 framework, meaning you get real asset discovery of AI tools plus enforced access controls tied to actual policy, not just detection logs. Skip this if your org hasn't yet standardized on which AI tools employees can use; you'll need that baseline before Witness can protect it.