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AI assistants

Chatbots and AI assistants compared by where your prompts go, who keeps them and for how long, with local models as the private default.

Last reviewed · 24 entries

People tell AI chatbots things they would never type into a search box: health worries, legal trouble, relationship problems, drafts of private messages, whole documents, and code with passwords still in it. With a mainstream assistant all of that goes to the company’s servers in readable form, is tied to your account, and may be kept for years, read by reviewers, used to train future models, used to choose ads, or handed over under a court order.

This guide sorts assistants by how much of that you have to trust. A model running on your own device sends nothing anywhere. Privacy-focused services keep less, and a few use hardware isolation so that even the operator should not be able to read your prompts. Mainstream assistants can be made less invasive with the right settings, but you still depend on the company keeping its word, and its policies can change.

ToolVerdictPlatforms
JanHighly recommended
OllamaRecommended
llama.cppRecommended
KoboldCppRecommended
llamafileRecommended
PocketPal AIRecommended
LM StudioUse with caution
Open WebUIUse with caution
GPT4AllNot recommended
MapleRecommended
ConferUse with caution
Proton LumoUse with caution
Duck.aiUse with caution
Brave LeoUse with caution
Kagi AssistantUse with caution
VeniceUse with caution
ChatGPTUse with caution
ClaudeUse with caution
GeminiUse with caution
Microsoft CopilotUse with caution
Mistral VibeUse with caution
Meta AINot recommended
GrokNot recommended
DeepSeekNot recommended

Where your prompts go

A hosted assistant runs the language model on the provider’s computers. Your prompt, any files you attach and the reply are processed there as plain text, then usually saved to your chat history. From that point the provider’s policies decide what happens: how long the chat is kept, whether it is used to train the next model, whether people read samples of it, and what it hands over when a court or the police ask. A local model avoids all of this because the prompt never leaves your device.

ApproachWho can read your promptWhat you rely onExamples on this page
Local modelNobody else: it stays on your deviceThe security of your own deviceJan, Ollama, llama.cpp, PocketPal AI
Confidential computingIn principle only the verified code inside a hardware enclaveChip makers, correct attestation checks and the physical security of the data centreMaple, Confer, Venice (TEE and E2EE modes), some Duck.ai models
No-logs policyThe operator, while processing itThe operator’s honesty and its legal situationProton Lumo, Duck.ai, Brave Leo, Kagi Assistant
Standard account-based assistantThe provider, its reviewers and anyone who can compel itSettings you have to find, switch off and re-checkChatGPT, Claude, Gemini, Copilot, Vibe, Meta AI, Grok, DeepSeek
Four ways an assistant can handle your prompt, from most to least private

What "encrypted" means for an AI service

In a messenger, end-to-end encryption (E2EE) means the server only ever handles scrambled data. An AI service cannot work that way: the model has to read your prompt somewhere. If it runs on ordinary servers, "encrypted" only describes the connection (TLS) or the stored chat history. Zero-access encryption of history means saved chats are locked with a key only you hold, but the prompt was still readable while it was being answered. Only when the model runs inside a trusted execution environment (TEE), and your app checks that environment before sending, can the operator be shut out by technical means rather than by promise.

What can go wrong

None of these risks is hypothetical. Every item below happened in 2025 or 2026.

  • Training and human review. An October 2025 Stanford study of Amazon, Anthropic, Google, Meta, Microsoft and OpenAI found that all six used chats to train models by default; some kept them indefinitely and some let people read transcripts (Stanford HAI). Google keeps human-reviewed Gemini chats for up to three years, even if you delete your activity (Google).
  • Court orders. In May 2025 a US judge ordered OpenAI to preserve ChatGPT output logs, including deleted and temporary chats, for the New York Times copyright case. The order stopped applying to new chats from 26 September 2025, but logs already saved stayed preserved (Engadget). In January 2026 a judge upheld an order to hand 20 million de-identified ChatGPT conversations to the news plaintiffs (Bloomberg Law).
  • No legal privilege. OpenAI’s chief executive said in July 2025 that chats with ChatGPT have none of the confidentiality of talking to a therapist, doctor or lawyer, and could have to be produced in a lawsuit (TechCrunch).
  • Reports to the police. Providers scan chats with automated classifiers. OpenAI said in August 2025 that it sends chats about harming others to human reviewers and may refer imminent threats to law enforcement (Futurism). In September 2026 a Florida woman was charged after Anthropic’s safety systems flagged her messages to its AI platform threatening a sheriff’s office and its reviewers reported them to police; she said she used AI like a diary (WINK News).
  • Shared chats in search results. In July 2025 ChatGPT conversations shared with a "discoverable" option showed up in Google; OpenAI removed the option (TechCrunch). In August 2025 hundreds of thousands of shared Grok chats were searchable on Google, Bing and DuckDuckGo (TechCrunch). Meta AI app users published conversations containing home addresses and court details without realising (TechCrunch).
  • Ads. Since 16 December 2025 Meta uses conversations with Meta AI to personalise ads and posts in most regions (Meta). ChatGPT began showing ads in its free tier in the US in February 2026, chosen using the conversation’s context, and by September 2026 in more than 40 countries (CTech). Copilot shows ads to people without Microsoft 365. Anthropic said in February 2026 that Claude would stay ad-free.
  • Leaks between users. In January 2025 an open DeepSeek database exposed over a million log lines, including chat history and API keys (Wiz). From August to September 2026 a caching bug in Cloudflare’s hosted GLM-5.3 model put fragments of other customers’ prompts into 155 responses (Cloudflare).
  • Tools that take more than you expect. In July 2026 the Grok Build coding agent was found uploading whole Git repositories, including old commits with deleted secrets, to cloud storage (The Register).

Memory and connected accounts

Memory features save facts about you (name, job, health, plans) and feed them into later chats. Since August 2025 Gemini has been rolling out personalisation from past chats, on by default for adult accounts, and Copilot keeps saved memories until you remove them. Connected apps go further: linking email, calendar or cloud storage lets the assistant, and therefore the provider, read that data too. Google notes that disconnecting an app does not delete what Gemini already saved from it, and Meta uses AI chats to personalise every account linked in its Accounts Center. Every link you add widens what one subpoena, breach or policy change can expose.

Run a model on your own device

The most private assistant is one that runs on your own hardware: no account, no server, no log, and it keeps working offline. This is possible because many developers publish open-weight models, meaning the trained model file can be downloaded and run by anyone. Current families include Qwen, Gemma, gpt-oss, Mistral, DeepSeek, GLM and Kimi. Open weights are not the same as open source: the training data and training code are usually not published.

The trade-off is hardware. Model size is counted in billions of parameters (7B, 13B, 70B), and the whole model has to fit in memory. Local apps usually download quantised versions, which store the model’s numbers at lower precision so they fit in less memory, at some cost in quality. A model that runs on a laptop is less capable than the largest hosted models, but is often good enough for drafting, summarising, translating and private brainstorming. Privacy Guides suggests these rough minimums:

Model sizeMemoryProcessor
7B8 GB RAMModern CPU with AVX2 support
13B16 GB RAMModern CPU with AVX2 support
70B72 GB RAMGPU with dedicated video memory (VRAM)
Rough minimums from Privacy Guides (updated May 2026). Long chats and large documents need more memory; a GPU or fast memory makes replies much quicker.

Jan

Highly recommended
Jan website (opens in a new tab)

Open-source desktop app from Menlo Research for downloading open-weight models and chatting with them entirely offline. The easiest fully open option for most people. It can also connect to cloud providers if you add an API key, so check which model each chat uses.

Platform Support

WindowsmacOSLinuxOpen sourceNo account

Advantages

  • Open source (Apache 2.0)
  • Runs fully offline once a model is downloaded
  • Built-in model downloader from Hugging Face
  • Chats and logs stay on your computer, per its privacy page
  • Local OpenAI-compatible server for other apps
  • Actively developed (v0.8.8, October 2026)

Drawbacks

  • Optional cloud connections send prompts to that provider
  • Needs enough RAM for the model you choose
  • Laptop-sized models are less capable than the largest hosted ones

Open-source tool that downloads and runs open-weight models with one command and serves them to other apps, such as Open WebUI. Recommended by Privacy Guides. It now also sells hosted cloud models, which are not private in the same way.

Platform Support

WindowsmacOSLinuxCommand lineOpen sourceSelf-hostableNo account

Advantages

  • Open source (MIT); very active development
  • One-command setup and a large model library
  • Says it does not see your prompts when models run locally
  • Many front ends can use it as a back end

Drawbacks

  • Models whose names end in cloud run on Ollama’s servers, mainly in the US
  • Cloud models need an Ollama account
  • Collects app version, request counts and IP address, not prompts, per its policy
  • Server port 11434 must never be exposed to the internet

The open-source inference engine that LM Studio, llamafile, KoboldCpp and many other apps build on. On its own it offers a command-line chat and a server with a built-in web interface and an OpenAI-compatible API.

Platform Support

WindowsmacOSLinuxCommand lineOpen sourceSelf-hostableNo account

Advantages

  • Open source (MIT)
  • Runs on CPUs and on NVIDIA, AMD, Intel and Apple GPUs
  • New builds published continually
  • Security advisories are published and fixed openly

Drawbacks

  • Command-line setup; less friendly than desktop apps
  • Critical flaw in its optional networked RPC backend fixed in March 2026

Single program built on llama.cpp that runs open-weight models with a bundled web interface. Popular for creative writing and role-play, with many tuning options. Recommended by Privacy Guides.

Platform Support

WindowsmacOSLinuxOpen sourceSelf-hostableNo account

Advantages

  • Open source (AGPL-3.0)
  • One executable, no installation
  • Bundled web interface on your own machine
  • Actively developed (1.123.1, October 2026)

Drawbacks

  • Many settings can overwhelm beginners
  • Prebuilt macOS download is for Apple Silicon only

Mozilla.ai project that packs llama.cpp into a single executable file that runs on most operating systems without installation. Recommended by Privacy Guides.

Platform Support

WindowsmacOSLinuxCommand lineOpen sourceSelf-hostableNo account

Advantages

  • Open source (Apache 2.0)
  • One file runs on Windows, macOS and Linux
  • Regular releases

Drawbacks

  • Windows cannot run files over 4 GB; larger models must be loaded separately
  • The version 0.10 rebuild dropped some older features, per its release notes

Open-source app for Android and iOS that downloads small open-weight models and runs them entirely on your phone.

Platform Support

AndroidiOSOpen sourceNo account

Advantages

  • Open source (MIT)
  • Works offline once a model is downloaded
  • Downloads models from Hugging Face inside the app
  • Data leaves the phone only if you share benchmarks or feedback
  • Android APK also published on GitHub
  • Actively developed (v1.21.4, October 2026)

Drawbacks

  • Phones can only run small models, so answers are weaker
  • iPhone and iPad version only through the App Store

LM Studio

Use with caution
LM Studio website (opens in a new tab)

Polished desktop app for finding, downloading and running local models, with a local API server. The app itself is closed source; its SDKs, command-line tool and Apple MLX engine are open source.

Platform Support

WindowsmacOSLinuxNo account

Advantages

  • Easy model search and download
  • Free for home and work use since July 2025
  • Privacy policy: local chats and documents stay on your device
  • Uses the llama.cpp and Apple MLX engines

Drawbacks

  • Closed-source app: you cannot check what it does
  • Update checks send app version, operating system and your IP address
  • Optional paid cloud models and web search send data off the device
  • macOS version needs Apple Silicon

Open WebUI

Use with caution
Open WebUI website (opens in a new tab)

Self-hosted web interface that gives Ollama, llama.cpp or any OpenAI-compatible server a ChatGPT-style front end, with several users, document chat and plugins. Useful for sharing one local model across a household.

Platform Support

WebSelf-hostableNo account

Advantages

  • Runs on your own computer or server; no account with the project
  • Works fully offline with local back ends
  • Source code is public

Drawbacks

  • Since April 2025 under its own licence with a branding clause, not OSI open source
  • Remote back ends you connect receive your prompts
  • A shared server is yours to secure and update

Desktop app from Nomic for chatting with local models and your own documents. It still runs offline, but development appears to have stopped.

No release since v3.10.0 in February 2025 and no code changes since May 2025.

Platform Support

WindowsmacOSLinuxOpen sourceNo account

Advantages

  • Open source (MIT)
  • Runs offline; Nomic says no data leaves your machine

Drawbacks

  • No release for more than 18 months
  • Last release predates llama.cpp fixes for malicious model files (2025 and 2026)

Privacy-focused hosted services

When your hardware is not enough, these services keep far less than mainstream assistants. They differ in how they protect you. Maple and Confer are built around confidential computing with attestation, so your app can check what the server runs; Venice and Duck.ai offer this for some models. Otherwise these services rely on policies and contracts: no logs, no training, prompts forwarded without your IP address. That is a big improvement on the default, but you cannot verify it from outside, and you still should not paste anything you could not afford to see leaked.

Private AI chat that runs open-weight models inside hardware enclaves. The app checks the enclave’s attestation before sending anything, and stored chats are encrypted so that the operator should not be able to read them.

Platform Support

WindowsmacOSLinuxAndroidiOSWebOpen sourceEnd-to-end encrypted

Advantages

  • Code public under the MIT licence, backend included
  • Remote attestation and reproducible enclave builds
  • Says it does not use your chats for training
  • Apps for web, Windows, macOS, Linux, Android and iOS
  • Free tier; Pro costs $20 a month

Drawbacks

  • Needs an account
  • Relies on cloud enclave hardware (such as AWS Nitro) working as promised
  • Open models only (Kimi, GLM, DeepSeek, gpt-oss and others)

Private AI chat from Signal founder Moxie Marlinspike, publicly available since December 2025. Prompts are encrypted from your device into an attested confidential virtual machine, and saved chats are encrypted with keys derived from your passkey.

March 2026: Confer said it will help bring its privacy technology to Meta AI, and that it continues to operate independently.

Platform Support

WebEnd-to-end encrypted

Advantages

  • Designed so the operator cannot read prompts, replies or saved chats
  • Reproducible builds and a public, append-only log of releases
  • Passkey sign-in without passwords or seed phrases
  • Detailed public write-ups of the design

Drawbacks

  • Young service with little independent review so far
  • Its GitHub lists server images and a proxy, not the app; not all show a licence
  • Needs a passkey-capable browser; Windows and Linux need a password manager

Proton Lumo

Use with caution
Proton Lumo website (opens in a new tab)

Assistant from Proton that runs open models on servers it controls in Europe. Proton says it keeps no logs and stores chat history with zero-access encryption, but prompts are decrypted on its GPU servers to be answered.

Platform Support

AndroidiOSWebOpen sourceNo account

Advantages

  • No-logs policy; chats not used for training
  • Saved history encrypted so only you can read it
  • Guest mode without an account
  • Web client is open source (GPL-3.0)
  • Web search is off unless you enable it

Drawbacks

  • Prompts are readable on Proton’s servers while being processed
  • No attestation: the no-logs promise cannot be checked
  • Open models only (Qwen 3.5, GLM 5.3 and others)
  • Free tier is limited; unlimited use needs Lumo Plus

Duck.ai

Use with caution
Duck.ai website (opens in a new tab)

Free AI chat from DuckDuckGo that forwards your prompts to OpenAI, Anthropic, Mistral, Microsoft Azure and to open models run by Tinfoil, after removing your IP address. Recent chats are stored on your device, not on DuckDuckGo’s servers.

Platform Support

WebNo account

Advantages

  • No account; usage limits enforced anonymously
  • IP address and other metadata removed before forwarding
  • Providers agreed to delete prompts after replying and not to train on them
  • Some open models run in Tinfoil’s attested enclaves
  • Optional end-to-end encrypted sync

Drawbacks

  • Providers may hold chats in memory for up to an hour (prompt caching)
  • Anthropic may keep chats where law requires or to fight abuse
  • Relies on contracts you cannot check; closed source
  • Best models need a paid DuckDuckGo subscription
  • US jurisdiction

Brave Leo

Use with caution
Brave Leo website (opens in a new tab)

Assistant built into the Brave browser. Brave says it does not store prompts or replies, does not collect your IP address and does not train on chats. You can also point Leo at a model running on your own computer.

Platform Support

WindowsmacOSLinuxAndroidiOSOpen sourceNo account

Advantages

  • No account for the free version
  • Premium uses unlinkable tokens, separating payment from use
  • Chat history stays on your device
  • Bring your own model, including a local one
  • Browser is open source (MPL-2.0)

Drawbacks

  • Sends the page’s content when you ask about a page
  • Large prompts may be cached for minutes; feedback kept one year
  • Only available inside Brave
  • US company

Kagi Assistant

Use with caution
Kagi Assistant website (opens in a new tab)

Assistant included with Kagi search accounts, offering models from many providers. Threads are deleted after one day by default, and Kagi publishes each model provider’s retention terms.

Platform Support

Web

Advantages

  • Threads auto-delete after one day unless you keep them
  • No account details sent to model providers
  • Public table of each provider’s retention and training terms
  • Accepts cryptocurrency; Privacy Pass sign-in available

Drawbacks

  • Needs a Kagi account; premium models need the Ultimate plan
  • Major model providers keep prompts up to 30 days, per Kagi’s table
  • Reported threads kept 30 days
  • Closed source

AI platform from a US company that markets itself as private and uncensored. It offers several privacy modes, from forwarding prompts to frontier models with identifying metadata removed to running them in enclaves with end-to-end encryption.

Platform Support

Web

Advantages

  • Chat history stored on your device, not its servers
  • Private mode: open models, prompts and replies not stored
  • TEE and end-to-end encrypted modes on Pro
  • Free tier available

Drawbacks

  • In Anonymous mode the model provider "likely saves" your prompt
  • Strongest modes need Pro ($18 a month)
  • End-to-end encrypted mode disables web search and memory
  • Registered in Wyoming, US

Mainstream assistants

All of these need an account for full use, read your prompts in plain text on the company’s servers, and depend on settings you have to find yourself. They are judged here by the same criteria: whether chats train models by default, how long they are kept, whether people read them, whether they feed advertising, past incidents, and where the company is based.

AssistantChats used for trainingHow long chats are keptCompany
ChatGPTYes, unless you opt out; Temporary Chat excludedUntil you delete them; temporary chats 30 daysOpenAI, US
ClaudeOnly with Model Improvement on (2025 pop-up preset to On); Incognito excludedUntil you delete them (then purged within 30 days); up to 5 years de-identified if training is onAnthropic, US
GeminiYes while Keep Activity is on; temporary chats excluded18 months by default; human-reviewed chats up to 3 yearsGoogle, US
CopilotNot for foundation models (app updated August 2026)Not stated for the new app; older app 18 monthsMicrosoft, US
Vibe (Le Chat)Yes for individual accounts, unless you opt outNo period given in its help centreMistral AI, France; EU hosting by default
Meta AIYes, with no clear opt-out"As long as we need it"Meta, US
GrokNot stated in its FAQ; EU inquiry into training on X postsDeleted chats removed "within standard retention windows"SpaceXAI LLC (branded SpaceXSI, formerly xAI), US
DeepSeekYes; opt-out only by email requestAs long as you have an accountDeepSeek, China; data stored in China
Consumer plans as of October 2026. Details and sources are in each entry below.

Use with caution

ChatGPT

Use with caution
ChatGPT website (opens in a new tab)

OpenAI’s assistant, the most widely used chatbot. Consumer chats are used for training unless you opt out, and the free tier has shown ads since February 2026.

Ads in the free tier since February 2026, chosen using conversation context; in more than 40 countries by September 2026.

Platform Support

WindowsmacOSAndroidiOSWeb

Advantages

  • Training opt-out in settings
  • Temporary Chat: not in history, not used for training
  • Memory is optional

Drawbacks

  • Trains on chats by default
  • Chats kept until you delete them; humans may review them
  • Temporary chats still kept for up to 30 days
  • Court order made OpenAI keep deleted chats from May to September 2025
  • 20 million de-identified chats ordered handed to news plaintiffs (January 2026)
  • May refer chats about threats of violence to police

Anthropic’s assistant. Since late 2025, consumer chats are used for training and kept for up to five years unless you switch off Model Improvement. Anthropic has committed to keeping Claude free of ads.

Platform Support

WindowsmacOSAndroidiOSWeb

Advantages

  • No ads (February 2026 commitment)
  • Incognito chats never used for training
  • With training off, deleted chats removed within 30 days
  • Shared links can be revoked from settings

Drawbacks

  • The 2025 pop-up for existing users had training preset to On
  • Up to 5 years of de-identified retention when training is on
  • Rating a reply stores the whole chat for 5 years
  • Flagged chats kept 2 years and safety scores 7 years
  • Reported threatening chats to police in 2026
  • Same rules on paid Pro and Max plans

Google’s assistant, tied to your Google account. While Keep Activity is on, chats are saved, used to improve Google services including model training, and a sample is read by human reviewers.

Platform Support

AndroidiOSWeb

Advantages

  • Temporary chats: not used for training, kept 72 hours
  • Keep Activity can be switched off
  • Audio and Gemini Live video not used for improvement by default
  • Auto-delete can be shortened to 3 months

Drawbacks

  • Human-reviewed chats kept up to 3 years, even after you delete activity
  • Default auto-delete is 18 months
  • Personalises from past chats by default (rolling out since August 2025)
  • Disconnecting a linked app does not delete what Gemini saved from it
  • Feedback you send is collected and used even with Keep Activity off

Microsoft Copilot

Use with caution
Microsoft Copilot website (opens in a new tab)

Microsoft’s consumer assistant. For the app released on 18 August 2026, Microsoft says prompts, responses and files are not used to train foundation models, but people without Microsoft 365 see ads that can draw on their chat history.

New app and privacy terms since 18 August 2026; older app versions follow the previous privacy FAQ.

Platform Support

WindowsmacOSAndroidiOSWeb

Advantages

  • New app: chats not used to train foundation models
  • Memory and ad personalisation can each be turned off
  • No personalised ads for signed-in users under 18

Drawbacks

  • Ads for users without Microsoft 365; may use chat history and memories
  • No retention period stated for the new app
  • Older app trained on chats by default and kept them 18 months
  • Human review of suspected policy violations, with no opt-out (older FAQ)

Mistral Vibe

Use with caution
Mistral Vibe website (opens in a new tab)

Assistant from the French company Mistral AI, called Le Chat until August 2026. Data is hosted in the EU by default, but individual accounts are used for training unless you opt out.

Le Chat was renamed Vibe on 12 August 2026; accounts and conversations carried over.

Platform Support

AndroidiOSWeb

Advantages

  • EU hosting by default
  • Training opt-out on web and mobile
  • Mistral publishes open-weight models you can run locally instead

Drawbacks

  • Training on by default for individual accounts
  • Thumbs up or down sends that exchange for training on any plan
  • Some features send data outside the EU
  • Help centre gives no retention period for chats

Not recommended

Meta’s assistant in Facebook, Instagram, WhatsApp, Messenger and its own app. Conversations are used for training and, since December 2025, to personalise ads and content across Meta’s apps.

Since 16 December 2025, chats with Meta AI personalise ads and feeds in most regions.

Platform Support

AndroidiOSWeb

Advantages

  • Meta says chats about health, religion, politics and other sensitive topics are not used for ads

Drawbacks

  • Trains on chats by default with no clear opt-out
  • No way to stop ad use described other than not using Meta AI
  • Data shared across all accounts linked in Accounts Center
  • App users published private chats without realising (2025)
  • Keeps data "as long as we need it"

Assistant from xAI, built into X and available as its own app. SpaceX bought xAI in February 2026, and the company now trades as SpaceXSI.

February 2026: SpaceX acquired xAI, which was renamed SpaceXAI and, in October 2026, branded SpaceXSI.

Platform Support

AndroidiOSWeb

Advantages

  • Data controls and chat deletion in settings

Drawbacks

  • Hundreds of thousands of shared chats indexed by search engines (2025)
  • Irish regulator investigating training on EU users’ X posts since April 2025
  • Grok Build agent uploaded whole code repositories, secrets included (2026)
  • Used to make sexualised edits of real people’s photos (2025 and 2026)
  • Canada’s privacy commissioner found it broke privacy law (June 2026)
  • Proposed class actions over face data from uploaded photos (October 2026)
  • Deleted chats may be kept longer for legal, compliance or safety reasons

Chatbot from Hangzhou-based DeepSeek, whose privacy policy says personal data is collected, processed and stored in China. Its open-weight models are a different matter: run locally, they send nothing to DeepSeek.

October 2026: a July 2026 US Department of Homeland Security order banning DeepSeek from civilian government agencies was made public.

Platform Support

AndroidiOSWeb

Advantages

  • Open-weight models under the MIT licence for local use

Drawbacks

  • Data stored in China
  • Uses inputs for training; opt-out only by emailing DeepSeek
  • Keeps data as long as you have an account
  • Exposed database leaked chat history and API keys (January 2025)
  • Korean regulator: sent prompts to a Chinese cloud without consent (2025)
  • Blocked in Italy in January 2025; banned on many government devices

AI browsers and agents

Agents do more than answer: they browse, click, fill in forms, read your email or run code for you. Examples include AI browsers such as ChatGPT Atlas (launched October 2025) and Perplexity Comet, coding agents, and self-hosted assistants such as OpenClaw that connect to your messaging apps. An agent acts with your logged-in sessions, so anything it can be tricked into doing, it does as you.

The main weakness is prompt injection: instructions hidden in a web page, email, document or code comment that the model reads and obeys as if you had typed them. In 2025 Brave showed that a hidden Reddit comment could make Comet, when asked to summarise the page, fetch the user’s email address and a one-time login code and post them back to the attacker; Brave later found Perplexity’s first fix incomplete (Brave). Simon Willison calls the dangerous combination the lethal trifecta: access to private data, exposure to untrusted content, and a way to send data out. Any agent with all three can be made to leak (Simon Willison).

  • Do not run an agent in a browser profile that is signed in to your email, bank, password manager or work accounts. Use a separate profile or browser with nothing in it.
  • Avoid giving one agent your private data, the open web and a way to send messages at the same time.
  • Turn on confirmation prompts for purchases, logins, sending messages and deleting files, and read what the agent is about to do.
  • Do not install third-party agent "skills" or plugins you have not read. Skills for OpenClaw are zip files with instructions and scripts, and can be malicious (Simon Willison).
  • Check what coding agents upload. Grok Build sent whole repositories, including old secrets, until a server setting was changed in July 2026.

Practical tips and common mistakes

Before you type

  • Never paste secrets. Passwords, API keys, recovery codes, ID and bank numbers do not belong in any hosted assistant. Treat every prompt as something that may be stored for years and read by a stranger.
  • Leave out names and identifying details. Describe the situation instead of the person. A question about "a colleague" reveals less than one with a name, employer and town.
  • Strip metadata from photos and documents before uploading them; see the metadata guide. Do not upload other people’s photos or private messages without their consent.
  • Use a local model for anything sensitive: health, legal matters, sources, finances or your employer’s data.

Settings worth changing

  • Turn off training. In Claude, switch off Model Improvement (the "Help improve our AI models" toggle under Settings, Privacy); in Gemini, turn off Keep Activity; in Vibe, turn off "Allow your interactions to be used to train our models"; in ChatGPT, use the data controls in settings. Check again after major app updates.
  • Use temporary modes for one-off questions: ChatGPT Temporary Chat (kept up to 30 days), Claude Incognito, Gemini Temporary Chat (72 hours).
  • Skip the thumbs up and down buttons. Feedback can override your opt-out: Anthropic keeps the whole rated conversation for five years, Mistral may train on rated exchanges on any plan, and Google may use chats you send as feedback.
  • Review memory and connected apps. Delete saved memories you do not want, turn memory off if you do not need it, and disconnect email, calendar and storage you are not actively using.
  • Unshare old links. A shared chat is public to anyone with the URL and can end up in search engines. Claude lists them under Settings, Privacy, Shared chats; other assistants have similar pages.
  • Delete chats you no longer need, but do not treat deletion as instant or complete: copies may remain for weeks, under legal holds, or in models already trained.

Keep it separate from your identity

  • Use a separate account with an email address that is not tied to your name, and do not sign in with Google, Apple or Facebook; see the alting guide.
  • Hide your IP address from hosted services with a VPN or Tor where that is legal for you; see the VPN guide. Duck.ai and Brave Leo already strip it before forwarding prompts.
  • Pay privately where you can: Kagi accepts cryptocurrency, and Brave Leo Premium uses unlinkable tokens.
  • Do not mix work and personal use in one account, and do not paste your employer’s confidential material into a personal assistant.

Common mistakes

  • Assuming a paid plan is private. Claude Pro and Max, for example, follow the same training rules as the free plan.
  • Trusting the word "encrypted". Ask where the model runs and who can read the prompt while it is being answered.
  • Forgetting browser extensions. An extension allowed to read all websites can read your AI chats too; see the browser guide.
  • Opening a local model server to the network without a password, or running an outdated local app.
  • Pasting text from untrusted sources into an agent without reading it first: that is how prompt injection gets in.

Further reading