Skip to content
MarketScale
‹ Back to IndustriesSoftware & Technology

OpenAI Offers New Privacy Options for ChatGPT

(Bloomberg) — OpenAI is letting people opt to withhold their ChatGPT conversations from use in training the artificial intelligence company’s models. The move could be a privacy safeguard for people who sometimes share sensitive information with the popular AI chatbot. The startup said Tuesday that ChatGPT users can now turn off their chat histories by clicking a toggle switch in their account…

This story was produced through MarketScale. See how Software & Technology teams put it to work with Executive Thought Leadership.

By Ben Thomas · Ai Chatbot.ChatgptData ProtectionOpenai
Share
OpenAI Offers New Privacy Options for ChatGPT

Key takeaways

01

(Bloomberg) — OpenAI is letting people opt to withhold their ChatGPT conversations from use in training the artificial intelligence company’s models.

02

The move could be a privacy safeguard for people who sometimes share sensitive information with the popular AI chatbot.

03

The startup said Tuesday that ChatGPT users can now turn off their chat histories by clicking a toggle switch in their account…

Get featured

Want to get featured in MarketScale Software & Technology?

Create a free MarketScale workspace and get your company's expertise featured across our Software & Technology coverage. No credit card, no demo required.

Request an invite

(Bloomberg) —

OpenAI is letting people opt to withhold their ChatGPT conversations from use in training the artificial intelligence company’s models. The move could be a privacy safeguard for people who sometimes share sensitive information with the popular AI chatbot.

The startup said Tuesday that ChatGPT users can now turn off their chat histories by clicking a toggle switch in their account settings. When people do this, their conversations will no longer be saved in ChatGPT’s history sidebar (located on the left side of the webpage), and OpenAI’s models won’t use that data to improve over time.

OpenAI is aiming to make people feel more comfortable using the chatbot for all kinds of applications. For example, during a demo of the feature on Monday, the company used the example of planning a surprise birthday party.

“We want to move more in this direction where people who are using our products can decide how their data is being used — if it’s being used for training or not,” OpenAI Chief Technology Officer Mira Murati said.

In the months since ChatGPT was launched publicly, millions of people have experimented with it and other bots (such as Bard, created by Alphabet Inc.’s Google). This new wave of AI chatbots is already being harnessed for everything from helping plan vacations to acting as an impromptu therapist, raising questions not just about how these systems can be used but also how the companies process the prompts people type into them. OpenAI said that its software filters out personally identifiable information that comes in from users.

The San Francisco-based startup, which announced the changes in a blog post Tuesday, will continue to train its models on user data by default. It will still store data (including that from conversations where users have turned off the chat history) for 30 days before deleting it, which it does to spot abusive behavior, the company said.

This month, OpenAI also said it’s allowing users to email themselves a downloadable copy of the data they’ve produced while using ChatGPT, which includes conversations with the chatbot.

The company is planning to roll out a business subscription plan in the coming months that it said will not train on those users’ data by default.

Your experts belong here

Every story in MarketScale Software & Technology starts with a company putting its solutions engineers, product teams, and customer engineers on the record. Buyers are already reading this topic. The only question is whose experts they find.

Buyers ask AI engines who to consider, and published expert answers are what those engines cite.

Get your team featuredSee how it works15 minutes, straight to a calendar.

About the author

Ben Thomas
Ben ThomasHead of Pro AV, MarketScale

Ben Thomas serves as Head of Pro AV at MarketScale, where he leads content and media strategy for the pro AV sector. With over 15 years of award-winning experience across large-scale events, network television, OTT platforms, and podcasting, he has guided major B2B brands including Intel, Sennheiser, Samsung, and Philips to billions of content interactions. He holds a B.A. in Mass Communications and is recognized for his expertise in podcast hosting, public speaking, marketing, and content strategy.

Follow Software & Technology Insights

Get new expert content in your inbox.

Software & Technology: are you visible to AI?

Before they reach out, Software & Technology buyers ask AI engines which vendors to trust. See how AI describes your company today, and where competitors show up instead.

Free workspace

You just read one Software & Technology expert. Your company is full of them.

This article was produced through MarketScale. The same platform turns your solutions engineers, product teams, and customer engineers into the articles, video, and social content Software & Technology buyers are searching for. Create a free workspace and see it with your own people. No credit card, no demo required.

NPS +73 · 1,000+ creators · 38+ countries

What you get, free

Your own MarketScale Studio workspace
One video edit a month, on us
AI writing, editing, and publishing tools
In-platform coaching to learn the system

More Software & Technology Insights

AI agents are pushing access controls and testing into the data layer

AI agents are pushing access controls and testing into the data layer

Snowflake is warning that dashboard-era access controls do not hold up once AI agents can query and act across datasets, pushing governance closer to the data layer, according to TechTarget’s Computer Weekly. In parallel, TechTarget reported that enterprise AI-agent testing needs to expand beyond pre-deployment checks into continuous monitoring so agents don’t drift beyond prescribed instructions. InformationWeek’s reporting on CISOs at Intuit, Smartsheet and ETS adds the operational risk: unmanaged “AI orphans” and identity sprawl as agent count grows, which shifts near-term workload onto IAM, data governance and platform engineering teams building the guardrails.

  • 01If an AI agent can reach multiple tools, the real control plane becomes the data layer and identity, not the BI dashboard permissions model.
  • 02Agent rollouts that stop at pre-production testing are likely to miss the failure mode operators actually see, post-deploy tool changes that alter what the agent can do.
  • 03“AI orphans” is a practical inventory problem: if teams can’t enumerate agents, they can’t set ownership, secrets rotation, or access reviews on a schedule.

Sep 2, 2026

AI agents are moving from chatbots to running workflows, and ops will feel it first

AI agents are moving from chatbots to running workflows, and ops will feel it first

Salesforce’s Winter ’27 release positions AI agents to run end-to-end workflows inside CRM and collaboration tools, including service case guidance, voice scheduling, and agent-driven commerce search, according to Salesforce. In parallel, NIST’s new AI Agent Standards Initiative is asking for industry input on AI agent security and is drafting guidance on software and AI agent identity and authorization, Federal News Network reported. On the infrastructure side, CoreWeave says it is unifying training, inference, observability, and reinforcement learning so autonomous agents can improve in production, while Cloudflare and Plume data highlighted by Cablefax show non-human traffic and AI agent requests rising sharply, creating measurable capacity and latency planning implications. The operational consequence is that “agent readiness” is becoming a joint program across app owners, security teams, and network operators, with identity, authorization, observability, and traffic management becoming gating items for scaling agents beyond pilots.

  • 01If AI agents are going to run workflows, the gating work shifts from prompt design to identity and authorization, NIST’s early initiative outputs are already centered there.
  • 02Agent traffic is not a rounding error: Cloudflare’s estimate that over half of internet traffic is non-human, plus Plume’s household-level data, is a planning signal for WAN, contact center voice, and Wi‑Fi policies.
  • 03The fastest path to better agents is increasingly “production learning,” CoreWeave’s closed-loop training-to-inference pitch, which raises the bar for observability and regression control in enterprise deployments.

Sep 1, 2026

Proptech money is clustering around ops automation, not new listing sites

Proptech money is clustering around ops automation, not new listing sites

In mid-2026, funding and product developments indicate a growing focus on operational automation tools in the proptech sector, rather than on new listing sites. AI agents and benchmarking tools are becoming increasingly significant for tasks such as leasing, collections, and managing portfolio KPIs.

  • 01Investment in proptech is increasingly directed towards operational automation rather than new listing sites.
  • 02AI agents and benchmarking tools are becoming vital in the management of leasing and collections.
  • 03Portfolio Key Performance Indicators (KPIs) are a critical focus area for new proptech solutions.

Aug 31, 2026

Explore More Software & Technology Insights

Read more expert perspectives from across Software & Technology.

Browse Software & Technology Hub

About the Expert

Ben Thomas
Ben Thomas

Head of Pro AV

MarketScale

Ben Thomas serves as Head of Pro AV at MarketScale, where he leads content and media strategy for the pro AV sector. With over 15 years of award-winning experience across large-scale events, network television, OTT platforms, and podcasting, he has guided major B2B brands including Intel, Sennheiser, Samsung, and Philips to billions of content interactions. He holds a B.A. in Mass Communications and is recognized for his expertise in podcast hosting, public speaking, marketing, and content strategy.

For B2B teams

Your experts could be publishing here

Stories like this one run on content MarketScale captures from real practitioners. See how your team's expertise becomes coverage in Software & Technology and beyond.

Book a 15-minute demo

Or call us. No forms required. We pick up. 214-945-2512