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Confidential Agents for RAG is a commercial ai model security tool by OPAQUE. Sarus SarusLLM is a commercial ai model security tool by Sarus. Compare features, ratings, integrations, and community reviews side by side to find the best ai model security fit for your security stack.
CST VerdictBased on our analysis of NIST CSF 2.0 coverage, core features, integrations, company size fit, here is our conclusion:
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.
Mid-market and enterprise teams fine-tuning LLMs on sensitive data will find real value in SarusLLM's differential privacy approach, which lets data scientists build custom models without exposing raw datasets to the training process. The platform's DP-SGD implementation and zero-trust data access model directly address NIST PR.DS (Data Security) requirements that most LLM workflows ignore entirely. Skip this if your org needs to fine-tune at scale without GPU infrastructure constraints; SarusLLM's on-premises deployment and orchestration overhead make it a poor fit for teams wanting minimal operational lift.
Confidential computing platform for secure RAG and AI agent workflows
Privacy-preserving LLM fine-tuning platform using Differential Privacy.
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Common questions about comparing Confidential Agents for RAG vs Sarus SarusLLM for your ai model security needs.
Confidential Agents for RAG: Confidential computing platform for secure RAG and AI agent workflows. built by OPAQUE. headquartered in United States. Core capabilities include Hardware-enforced confidential computing, Encrypted data handling for AI workflows, Enterprise governance controls for AI agents..
Sarus SarusLLM: Privacy-preserving LLM fine-tuning platform using Differential Privacy. built by Sarus. headquartered in France. Core capabilities include Differentially-Private LLM fine-tuning via DP-SGD, Data clean room environment for LLM training without direct data access, Synthetic data generation from sensitive datasets..
Both serve the AI Model Security market but differ in approach, feature depth, and target audience.
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