Redact sensitive content in every Gemini prompt - gemini.google.com, Google AI Studio, and the Gemini API. In-flight redaction, full coverage of the long-context window.
14-day free trial, no credit card.
Summarise this lead list for the team meeting: Sarah Connor ([email protected][REDACTED_PERSONAL_INFO_1], +1 415 555 0118[REDACTED_PERSONAL_INFO_2], AWS key AKIAIOSFODNN7EXAMPLE[REDACTED_CREDENTIALS_1]), Kyle Reese ([email protected][REDACTED_PERSONAL_INFO_3], JWT eyJhbGciOiJIUzI1NiJ9.fake.token[REDACTED_CREDENTIALS_2]).
The four exfiltration patterns we see most often when teams adopt Gemini.
Users paste Google Doc content, Sheet rows, and Calendar invite details into Gemini for summarisation. The full content travels upstream - including embedded customer data and internal financials.
Gemini's 1M+ context window means people paste entire support inboxes, audit reports, and design docs in one shot. Per-prompt exposure is much higher than ChatGPT's typical pattern.
Engineers test prompts in AI Studio using real production data because it's faster than building a fixture. Whatever they paste lands on Google's logs.
Gemini is one tab away in any Chrome window. Shadow-AI usage is widespread; a network-only DLP that doesn't cover the personal-account case sees nothing.
The user types whatever they want. NexusNest redacts the sensitive spans in-flight, so the prompt that reaches Google has placeholders in place of the secrets.
Summarise this lead list for the team meeting: Sarah Connor ([email protected], +1 415 555 0118, AWS key AKIAIOSFODNN7EXAMPLE), Kyle Reese ([email protected], JWT eyJhbGciOiJIUzI1NiJ9.fake.token).
Summarise this lead list for the team meeting: Sarah Connor ([REDACTED_PERSONAL_INFO_1], [REDACTED_PERSONAL_INFO_2], AWS key [REDACTED_CREDENTIALS_1]), Kyle Reese ([REDACTED_PERSONAL_INFO_3], JWT [REDACTED_CREDENTIALS_2]).
Download the .pkg / .exe and double-click. The agent installs a local trusted CA and the system proxy - no IT ticket required for Gemini traffic to flow through it.
Use Gemini exactly the way you do today - browser, desktop app, or API. The agent intercepts the outgoing request, runs the redaction pipeline, and forwards a redacted version.
Every prompt shows up in the admin dashboard with what was redacted, by which employee, on which machine. Gemini usage becomes legible.
Yes - Workspace AI features call the same Gemini backend. The agent intercepts the underlying `:generateContent` endpoint, which is what the "Help me write" sidebar uses.
Yes. AI Studio traffic goes to the standard Gemini API and is intercepted with the same `gemini-generate` schema (`contents[*].parts[*].text`).
If you're only using Workspace AI features that summarise files you already have in Workspace, that content stays in Google's cloud either way. NexusNest's job is to redact the prompt text users type or paste into the Gemini surface - that's the loss vector.
No. Grounding queries are derived from the redacted prompt by Gemini itself. The placeholders flow through grounding unchanged, and you get answers based on the redacted but semantically-intact prompt.
Workspace DLP rules scan documents and email; they do not inspect prompts sent to Gemini. NexusNest fills that specific gap.
Deploy on every employee laptop in under 10 minutes. 14-day free trial. No credit card required.