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Privent 2.0
Runtime Data Control for n8n Workflows
AI agents send raw data to LLMs on every run: emails, records, API keys, secrets. n8n's own Guardrails node can redact that, but redaction is permanent, the data never comes back. Privent tokenizes PII and secrets before they reach the LLM, then reverses it safely at a trusted sink. Official n8n Integration Partner, live today. Local mode runs fully offline. Built for teams running agent workflows in production who cannot afford a single leaked record.
Hey Product Hunt! Some of you might remember our first launch here as an AI monitoring
Chrome extension. Since then we pivoted: instead of watching what leaves the browser, we
went inside the workflow engine itself, where agents actually send data to the LLM.
Privent now tokenizes PII and secrets before they reach the model, then reverses it safely
once you are back in a trusted system. n8n's own Guardrails node can redact that data, but
redaction is permanent, ours comes back. It is live today as an official verified n8n node.
Local mode runs fully offline if you never want data leaving your infrastructure.
Curious to know: where has your team been most nervous about what your agents are actually
sending to the LLM?
About Privent 2.0 on Product Hunt
“Runtime Data Control for n8n Workflows”
Privent 2.0 was submitted on Product Hunt and earned 29 upvotes and 9 comments, placing #20 on the daily leaderboard. AI agents send raw data to LLMs on every run: emails, records, API keys, secrets. n8n's own Guardrails node can redact that, but redaction is permanent, the data never comes back. Privent tokenizes PII and secrets before they reach the LLM, then reverses it safely at a trusted sink. Official n8n Integration Partner, live today. Local mode runs fully offline. Built for teams running agent workflows in production who cannot afford a single leaked record.
On the analytics side, Privent 2.0 competes within Developer Tools, Artificial Intelligence and Security — topics that collectively have 993.6k followers on Product Hunt. The dashboard above tracks how Privent 2.0 performed against the three products that launched closest to it on the same day.
Who hunted Privent 2.0?
Privent 2.0 was hunted by Asil Ozyildirim. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Privent 2.0 including community comment highlights and product details, visit the product overview.