Nightfall is DLP for SaaS apps — it scans Slack, Jira, Google Drive. Privaro is governance for LLM traffic — it stops PII from ever leaving your prompt to OpenAI, Anthropic or Gemini.
If your risk is employees pasting secrets into third-party SaaS, Nightfall is a strong choice. If your risk is your own product sending customer data to LLMs, Privaro is purpose-built for it.
Runtime AI proxy. Every prompt and response passes through Privaro; sensitive data is detected, tokenized and logged with a full audit trail before it reaches any model.
SaaS-focused DLP. Scans messages and files in third-party tools (Slack, GitHub, Drive) to alert on exposed secrets and PII.
| Feature | Privaro | Nightfall AI |
|---|---|---|
| Primary use case | LLM prompt/response governance | SaaS content DLP |
| Real-time PII detection — prompts AND LLM responses | Native, both directions (sub-100 ms); streaming responses audited in real time | Post-hoc scanning |
| Reversible tokenization | Yes | Redaction (irreversible) |
| Coverage of OpenAI / Anthropic / Gemini | Native | Requires API integration |
| MCP server for AI agents | Included | Not available |
| Slack / Jira / Drive scanning | Not the focus | Strong |
| EU AI Act audit trail | Native + blockchain option | General DLP logs |
| Detection accuracy on prompts | Optimized for prompt context | Optimized for documents |
| Starting price | €150/mo | Contact sales |
Nightfall protects human collaboration channels. It doesn't sit on the API path between your app and OpenAI. If your product sends prompts to LLMs, that traffic bypasses Nightfall entirely — Privaro is what closes that gap.
Privaro's primary value is inline interception, but every request is logged with detected entities, so you can also run retrospective audits over your entire LLM traffic history.
Yes. Policies can be set to irreversible masking instead of reversible tokenization, per data type and per role.
Book a 20-minute demo and we'll show detection, tokenization and audit running live against a real prompt from your stack.
Book a demo