Elephas

Secure AI for sensitive work. Elephas automatically redacts sensitive information before AI.

[Elephas @ElephasApp]

That's the fix. Keep using the powerful models. Strip the sensitive parts before they ever ship.
Elephas redacts PII on your Mac before anything reaches a cloud model. Zero data retention, never used for training, no reviewer ever sees it.
https://t.co/GSnY8K9Ebz

[Elephas @ElephasApp]

Elephas builds a local knowledge base from your files and redacts PII before any cloud model is called. Sources stay on-device. Nothing stored, nothing trained, no reviewer.
https://t.co/GSnY8K9Ebz
#AIPrivacy #NotebookLM #ChatGPT

[Elephas @ElephasApp]

To use NotebookLM or ChatGPT for research, you upload your documents to Google or OpenAI.
That's the line in the fine print nobody actually reads. 🧵

[Elephas @ElephasApp]

For a public research paper, who cares. For an interview transcript, an unpublished draft, or a confidential dataset, "uploaded to the cloud" should make you pause.

You can keep the research power and keep the documents on your machine.

[Elephas @ElephasApp]

Elephas redacts that before any AI sees it. https://t.co/GSnY8K9Ebz

#LegalTech #AIPrivacy #DataPrivacy

[Elephas @ElephasApp]

You're pasting your contract into an AI legal tool right now.

Its privacy policy is two sentences. No encryption details, no breach protocol — just "we take security seriously."

You're feeding it case details and client names on a promise.

[Elephas @ElephasApp]

@niting786 Agreed

[Elephas @ElephasApp]

@TheUpsiderAI Exactly. For agent workflows, redaction cannot be an afterthought or a final report cleanup step. It has to happen before tool calls and model calls, with enough logging to know what was removed and why.

[Elephas @ElephasApp]

@AISGateway Agreed. A lot of leakage starts before the request hits a gateway: pasted docs, client emails, screenshots, notes. Redaction closer to the user's workflow catches a different class of mistakes.

[Elephas @ElephasApp]

@snappcracklpop @realannapaulina @grok We agree on the caution. Possible safe angle: For health or legal data, the key is not just 'use AI carefully' but 'remove identifiers before AI ever sees the text, and stay within the tools your org has approved.'

[Elephas @ElephasApp]

Start with a boring rule: no names, emails, customer data, contracts, code, health/finance info in raw prompts. Either use approved enterprise AI with controls, or redact before prompting.
I work on Elephas; our Mac angle is exactly that PII-redaction step before cloud AI sees the text.

[Elephas @ElephasApp]

@stevehoglan That’s the sharp edge with using AI as the redactor itself: if it rewrites the document, it can also rewrite facts. Safer pattern is to identify and remove sensitive spans first, keep the original as source of truth, then use AI only on the sanitized text.

[Elephas @ElephasApp]

@turtlecute33 You are not using us :(

We are a privacy-focused AI tool that redacts your PII data before it reaches AI models. For Mac.

[Elephas @ElephasApp]

Elephas does the same knowledge work on your Mac and redacts PII before any cloud call. Names, emails, numbers get stripped first. Nothing trains a model, nothing sits on a server.
https://t.co/GSnY8K9Ebz — from $9.99/month
#AIPrivacy #Claude #DataPrivacy

[Elephas @ElephasApp]

Claude Cowork can read your files, control your apps, run shell commands, browse the web for you.
It's genuinely impressive. Nobody's asking the obvious question: where do the sensitive files it reads end up? 🧵

[Elephas @ElephasApp]

For most people that's fine. For anyone handling client contracts, patient notes, or unreleased work, "every doc processed in the cloud" is a different sentence.

You don't have to give up the power. You just shouldn't hand over raw client data to get it.