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Ali Farhat
Ali Farhat Subscriber

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🩸ChatGPT Privacy Leak: Thousands of Conversations Now Publicly Indexed by Google

Google has indexed thousands of ChatGPT conversations — exposing sensitive prompts, private data, and company strategies. Here's what happened, why it matters, and how you can protect your AI workflows.

Also See: Data Extraction in Automated Workflows


What Happened?

Perplexity.ai recently discovered a major privacy issue: Google has indexed thousands of shared ChatGPT conversations, making them searchable and publicly accessible. These conversations were originally created in OpenAI’s ChatGPT interface, not Perplexity.

The indexed pages contained entire chat histories — including sensitive, private, and potentially regulated data. A simple Google query could now return conversations like:

  • “How do I manage depression without medication?”
  • “Draft a resignation letter for my CTO”
  • “What’s the best pitch for my AI startup?”
  • “Summarize this internal legal document...”

These weren’t hypothetical queries. These were real prompts submitted to ChatGPT and shared via OpenAI’s own interface.

Also See: Is ChatGPT Glitching?


🔍 Follow-up: What Happened Next?

This article triggered an overwhelming response across the AI community — and OpenAI took action.

👉 Read the follow-up article: OpenAI Pulls ChatGPT Search Index Feature – A Critical Follow-Up

Learn what changed, why it matters, and what to expect next in the evolving landscape of AI search and data privacy.


How Did This Happen?

The root cause? Public sharing without proper access control.

  1. A user creates a conversation in ChatGPT.
  2. They click "Share" — which generates a publicly accessible URL.
  3. That URL is not protected by robots.txt or access headers.
  4. Googlebot indexes it like any other webpage.
  5. Result: anyone can discover it via search.

There were no authentication walls, no expiry dates, no privacy warnings. Once shared, the chat lived online — indefinitely and publicly.


📣 Help Us Spread the Word

If you're reading this and care about AI privacy, do us one favor:

👉 Click “Like” or “❤️” before you start reading.

Why? More engagement helps this article reach more devs, founders, and privacy advocates — and this issue deserves visibility.

Also See: 🚨 PromptLock: The First AI-Driven Ransomware!


Why This Is a Wake-Up Call for Developers and Teams

If your devs, marketers, or product teams are using ChatGPT:

  • Are they sharing AI prompts with real data?
  • Are links being sent internally or externally without vetting?
  • Do you have a policy on sharing ChatGPT links at all?

If not, you’re at risk of leaking IP, customer data, or sensitive strategy without even realizing it.


✅ Want to Stay Compliant with EU AI Regulations?

⚠️ Already using AI in your app? If it interacts with EU users, you may already be at legal risk.

👉 Check how to stay compliant before enforcement hits your stack.


Prompts = Proprietary Logic

Remember: in modern AI Agents + Automations, the prompt is part of your stack.

A well-engineered prompt to:

  • Automate onboarding
  • Draft legal templates
  • Generate code snippets
  • Train chatbots

…is part of your operational IP. When shared without protection, you're not just leaking content — you're leaking business intelligence.


Regulatory & Compliance Implications

If these ChatGPT links contain:

  • Personal data (names, health info, etc.)
  • Employee evaluations
  • Financial insights

…then you’ve got a GDPR, HIPAA or data governance problem.

Under GDPR, you are the data controller — even if OpenAI is the processor.

You are responsible for what gets entered, stored, shared, and potentially exposed.

Also See: https://scalevise.com/resources/gdpr-compliant-ai-middleware/


How Middleware Can Help You Avoid This

At Scalevise, we help businesses implement AI middleware — secure layers that sit between your tools (like Airtable, HubSpot, or Notion) and AI interfaces (like ChatGPT or Claude).

Why use middleware?

  • Scrub or mask sensitive data before prompts are sent
  • Track what’s sent and by whom
  • Control which systems are allowed to share externally
  • Inject consent requirements or metadata
  • Enable audit logs for governance or legal teams

Also see:


Action Plan: What to Do Now

If your team is using ChatGPT or any public LLM:

🔎 Step 1: Audit What’s Public

Google your company name, domain, or keywords along with:

Look for shared links you or your team might’ve exposed.

🗑️ Step 2: Remove Indexed Chats

Request removal of indexed URLs via Google’s removal tool.

🛡️ Step 3: Restrict Sharing Internally

Disable public sharing options or set clear guidelines for your team. Don’t allow open sharing without approval.

🔐 Step 4: Implement Middleware

Don’t rely on OpenAI to handle your data privacy. Build or integrate your own AI proxy layer to enforce safety, masking, and compliance.


Final Thought: This Isn’t a Glitch — It’s a Governance Failure

This privacy issue shows just how vulnerable modern workflow automations are without structural oversight. ChatGPT wasn’t hacked — it worked as designed. The problem is that “share” meant “make public forever.”

If you’re serious about protecting your business, clients, and data — you need to think beyond prompt engineering. You need to think middleware, governance, and visibility.


Want to Secure Your AI Stack?

We help fast-growing teams build AI-powered workflows that are:

  • Private
  • Compliant
  • Scalable

👉 Discover how we build privacy-first middleware at Scalevise


📣 Help Us Spread the Word

If you're reading this and care about AI privacy, do us one favor:

👉 Click “Like” or “❤️”

Why? More engagement helps this article reach more devs, founders, and privacy advocates — and this issue deserves visibility.

Written by Scalevise — Experts in Secure AI Workflows

Top comments (27)

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pranamyark profile image
Pranamya Rajashekhar

Well this definitely is a reminder to carefully think about what I'm sharing over the prompt instead of mindlessly copy pasting details to ChatGPT😅

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safwenbarhoumi profile image
Safwen Barhoumi

This seriously damages ChatGPT’s credibility! it’s not just about leaked business secrets, but also deeply personal information 🔐.
The fact that such data was exposed without proper protection is alarming ⚠️.
It’s no surprise this could lead to major user distrust and hesitation to use the platform again 🙅‍♂️.

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leob profile image
leob • Edited

How is this ChatGPT's (or Google's for that matter) fault? Users shouldn't naively click "Share" if they don't want the info to become public ... this isn't a security leak or whatever, it's "operator error" :)

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alifar profile image
Ali Farhat

This makes you think twice before using chatgpt as you personal psychologist 😅

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safwenbarhoumi profile image
Safwen Barhoumi

Or maybe it’s better not to overthink it just steer clear altogether

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ingosteinke profile image
Ingo Steinke, web developer

they clicked "share"

so what? where is the breach?

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khriji_mohamedahmed_fd73 profile image
Khriji Mohamed Ahmed

This is a powerful reminder that "public" on the internet means truly public and once it's indexed, it's out of your hands.
The fact that prompt data, often containing sensitive or strategic info, is being exposed through basic link sharing is alarming. It's not just a privacy issue it's a governance and workflow design issue.
Teams working with AI need more than just policies. They need systems in place middleware, access control, auditing to actively protect their data.
Thanks for the clear breakdown and action steps, Mr.Ali. This deserves a lot more visibility.

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alifar profile image
Ali Farhat

Thank you brother! And yes, this makes you think twice before entering any personal data into any AI related chatbot

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rolf_w_efbaf3d0bd30cd258a profile image
Rolf W

Whaaaaat!!?????

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alifar profile image
Ali Farhat

Yes!!

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saadmanrafat profile image
Saadman Rafat • Edited

So, If I may summarize!

GPT → scraped → Google → indexed → scraped again → GPT.

ChatGPT conversation URLs are meant to be shared, Also It's ironic that ChatGPT failed to take basic measures like robots.txt

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js402 profile image
Alexander Ertli

Thanks for raising awareness on this.

It's a critical reminder not only on what we share as users but also for all of us building in the AI space. Incidents like this aren't just edge cases; they're symptoms of deeper governance gaps as pointed out in the post.

I think we have a responsibility to bake privacy and compliance into our architectures from day one and not treat them as afterthoughts.

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accioprocurement profile image
Accio by Alibaba Group

This discussion really hits home for AI-powered sourcing platforms like ours. At Accio AI, we're constantly balancing the need for transparency (like real supplier pricing and capabilities) with secure data practices. The key insight we've found? Context-aware permissions - keeping sensitive business information visible where it creates value, while automatically applying the right protections based on user roles and relationships

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pvgomes profile image
Paulo Victor Gomes • Edited

Fun fact is that Sam is always saying they will launch a revolutionary feature. This one was impactful for sure

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alifar profile image
Ali Farhat

Isn't this revolutionary already lol

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chatt_kush_4103d4b5b31191 profile image
chatt kush

I think now this has been fix by openAI so we dont need to worry much. And its always better to not share personal and private info with any model or any one on web.

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alifar profile image
Ali Farhat

🙌 🙌

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