Last updated 09-23-2026
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Privaro
Privaro sits between your teams and external LLMs as a governance proxy: it detects personally identifiable information in prompts, replaces it with reversible tokens, scans model outputs on the way back, and keeps an audit trail your compliance group can export. It targets regulated employers that want ChatGPT-class tools without shipping client names, IBANs, or health identifiers to OpenAI, Anthropic, or other providers.
Classic data loss prevention tools were built around files and email. Privaro is built around live LLM traffic, including agent loops and RAG retrieval, and it certifies each interaction on-chain through iCommunity Blockchain Services so auditors can verify logs independently on Polygon. That combination of bidirectional masking plus blockchain evidence is the pitch against generic DLP suites and policy PDFs alone.
Legal, healthcare, and fintech teams get sector playbooks on the marketing site, while integrators wire the Python or Node SDK in about an hour by pointing traffic at a pipeline UUID. The governed chat UI, multi-provider key panel, and DPO-ready PDF exports are meant for privacy officers and platform engineers sharing one control plane.
Hybrid regex plus Presidio NLP covers 10 entity types including DNI and IBAN
P95 latency stays under 60 ms on top of your existing LLM call
Relay and streaming endpoints route OpenAI, Anthropic, Gemini, and Azure models
Business tier includes context optimization that cuts tool-output tokens up to 57%
Blockchain audit hashes certify on Polygon in under 5 seconds via iBS webhooks
Document upload accepts PDF, Word, Excel, CSV, or email files up to 20 MB
Masks both prompts and model outputs, so leakage is caught on the return path as well as ingestion.
Certifies audit events on Polygon through iCommunity, which gives external auditors a verification path without trusting Privaro alone.
Documents claim sub-hour SDK integration with bring-your-own-key support on Business and Enterprise tiers.
Published list prices are in euros and VAT is excluded, so USD buyers must convert and add tax separately.
Starter caps traffic at one LLM provider and omits blockchain audit trails, DPO PDF exports, and RAG protection.
Streaming relay audits output in real time but cannot mask streamed chunks mid-generation, so full response masking requires non-streaming relay endpoints.
Does Privaro offer a free plan?
Privaro does not list a permanent free tier. Privaro runs a 14-day trial on Starter and Business with full feature access, and the pricing page states that no credit card is required during the trial.
How much does Privaro cost?
Privaro publishes euro prices on its pricing page. The Starter tier is 150 euros per month on monthly billing for 100,000 requests, while Business is 400 euros per month for 500,000 requests before VAT. Annual contracts lower those rates to 120 and 320 euros per month respectively.
Which LLM providers work with Privaro?
Privaro connects to OpenAI, Anthropic, Mistral, Groq, Azure OpenAI, and compatible self-hosted stacks from a centralized provider panel. Starter includes one provider; Business unlocks multi-provider routing and bring-your-own-key for all supported engines.
Does Privaro have an API?
Yes. Privaro exposes a REST API at https://api.privaro.ai/v1 with endpoints such as /proxy/protect, /relay/complete, and /relay/stream. The docs ship Python and Node.js SDKs, and API keys start with the prvr_ prefix from the dashboard.
How long does Privaro take to integrate?
Privaro documentation targets integration in under an hour: create an API key, install privaro-sdk, configure a pipeline in the dashboard, and swap your prompt for result.protected before calling your LLM. RAG ingestion uses separate ingest and retrieval-guard endpoints on higher tiers.
Can Privaro protect RAG knowledge bases?
Privaro includes RAG protection on the Business plan and above through Privaro Ingest plus Retrieval Guard, which masks retrieved chunks and enforces per-chunk access control before context reaches the model. The /proxy/protect-retrieval endpoint batches vector-store chunks with fail-closed behavior on detection errors.