“Is this AI tool safe?” is one of the most common questions people ask about ChatGPT, Claude, Gemini, Microsoft Copilot and the hundreds of apps built on top of them. It is also a question with no one-word answer. A tool can be excellent at refusing dangerous requests and still keep your conversations longer than you expect. It can have strong privacy settings that are switched off by default. It can be safe for drafting emails and risky when connected to your inbox.
This page explains how Safely Clever reviews the safety features of AI tools, what each safety dimension means, and how you can run your own quick check before trusting a tool with your work or personal data. It is the hub for our AI Tool Safety Reviews section.
Last reviewed: September 29, 2026.
What “safe” means for an AI tool
We break AI tool safety into seven dimensions. A tool can score well on some and poorly on others, so we report them separately instead of producing a single “safety score” that hides trade-offs.
1. Data privacy and model training
What happens to what you type? The key questions are whether your conversations may be used to train future models, whether you can opt out, how long chats are retained, whether humans may review them, and whether you can export or delete your data. Consumer, business and enterprise versions of the same product often have different defaults, so the answer depends on which plan and account you use.
2. Content safety
How does the tool handle requests for dangerous, illegal or abusive content? We look at published usage policies, how consistently the tool follows them, whether refusals are explained, and whether there are ways to report harmful outputs. Good content safety also means not over-refusing: blocking harmless questions about medicine or security research is a usability failure, not a safety win.
3. Accuracy and honesty
Every current chatbot can produce false statements with confidence. We check whether the tool cites sources, whether those sources actually support the claim, whether it signals uncertainty, and how it behaves when asked about recent events it may not know. Tools that make verification easy are safer in practice, even if their error rate is similar.
4. Account security and admin controls
Does the tool support two-factor authentication, single sign-on for organizations, audit logs, and admin controls over data sharing and integrations? For teams, these controls often matter more than the model itself.
5. Transparency
Does the company publish model or system cards, clear usage policies, a readable privacy policy, and information about known limitations? Does it disclose incidents and changes to its safety practices? Transparency does not prove safety, but its absence makes independent assessment much harder.
6. Agent and integration controls
Modern assistants can browse the web, read files, connect to email and calendars, run code and take actions in other apps. Each connection raises the stakes. We look at how permissions are granted and scoped, whether the tool asks for confirmation before consequential actions such as sending messages or making purchases, and what protections exist against prompt injection, where hidden instructions in a web page or document try to hijack the assistant.
7. Protections for younger users
We check minimum age requirements, whether age assurance or teen-specific experiences exist, what parental controls are offered, and how the tool handles sensitive topics such as self-harm.
Our AI tool safety scorecard
Every review on this site answers the same core questions, so tools can be compared fairly:
| Dimension | Questions we answer |
|---|---|
| Data and training | Is chat data used for training by default? Can you opt out? How long is data kept? Can you delete it? |
| Content safety | Are usage policies clear? Are harmful requests handled consistently? Is over-refusal a problem? |
| Accuracy | Does the tool cite sources? Do citations hold up? Does it admit uncertainty? |
| Security | Is two-factor authentication available? Are there admin, SSO and audit features for teams? |
| Transparency | Are system cards, policies and change logs published and readable? |
| Agents and integrations | Are permissions scoped? Are risky actions confirmed? Are prompt injection risks addressed? |
| Younger users | What are the age rules, teen protections and parental controls? |
How we test
Our reviews combine three kinds of evidence:
- Official documentation. We read the provider’s privacy policy, terms, usage policies, help-center articles and, where available, system cards. We quote or link the source so you can check it.
- Hands-on checks. We walk through the actual settings screens and test common scenarios, such as turning off training, deleting a chat, connecting an integration and trying borderline requests, using ordinary accounts.
- Dated snapshots. AI products change constantly. Every review states the date it was checked and the plan or version tested, and we update reviews when significant changes occur.
We do not accept payment for reviews or rankings. If we ever use affiliate links, they will be clearly disclosed and will not affect our assessments. Our editorial policy explains our standards and how to request corrections.
For the full step-by-step process, including what we don’t do and the limits of our testing, read How We Test AI Tools.
Common AI safety settings, explained
Most major assistants now offer some version of the following controls. Names vary by product.
- Training opt-out. A setting that stops your conversations from being used to improve the provider’s models. It may be on or off by default depending on the product and plan.
- Temporary or incognito chats. Conversations that are not saved to your history and, depending on the provider, are excluded from training. They may still be kept for a limited period for abuse monitoring.
- Memory controls. Some assistants remember details across conversations. Look for ways to view, edit and switch off memory.
- Data export and deletion. Options to download your data or delete individual chats or your whole account. Check whether deletion is immediate or delayed.
- Connected apps and permissions. Pages where you can see and revoke access to email, files, calendars and other services.
- Reporting tools. Buttons to flag harmful, inaccurate or unsafe outputs to the provider.
- Family and teen settings. Controls for supervised accounts, where offered.
For a side-by-side look at where these controls live in ChatGPT, Claude, Gemini and Copilot, read our comparison of AI chatbot safety features.
Red flags in AI apps
Be especially careful with tools that show these warning signs:
- A vague or missing privacy policy, or one that allows broad sharing or sale of your data.
- No way to delete conversations or your account.
- “Wrapper” apps that resell access to a well-known model under a different brand, where you are subject to both companies’ data practices, and the smaller company’s may be weaker.
- Browser extensions that request permission to read and change data on all websites.
- AI companion or “friend” apps that push emotional dependence, lack clear age protections or use manipulative subscription tactics.
- Claims that a tool is “100% private”, “unhackable” or “never wrong”. No AI system can honestly promise that.
Your 10-minute AI tool safety check
Before you use a new AI tool for anything important, run through this list:
- Confirm which company operates the tool and which underlying model it uses.
- Find the privacy policy and search it for “training”, “retention”, “human review” and “third parties”.
- Open the settings and turn off training on your data if you do not want it, or use a temporary chat.
- Check whether your plan (free, paid, business) changes those defaults.
- Turn on two-factor authentication.
- Review connected apps and remove any you do not need.
- Test a factual question you already know the answer to and check the cited sources.
- Decide in advance what you will never paste in, such as passwords, ID numbers, client data or health records, unless you have a plan that covers it.
Special cases
Coding assistants
AI coding tools can suggest insecure code, pull in unfamiliar packages or, in agent mode, run commands on your machine. Review generated code like you would a junior colleague’s, keep agents sandboxed, and require approval before commands or commits run. Developers should also read our guide to responsible AI for developers.
Image, voice and video generators
Check the provider’s rules on generating real people, whether outputs carry provenance signals such as C2PA content credentials or watermarks, and how uploaded photos are stored and used.
Workplace AI
If your employer provides an AI tool, use the approved version rather than a personal account. Business plans typically include contractual data protections that consumer plans do not.
Why no tool gets a simple “safe” badge
Safety is contextual. A tool that is appropriate for brainstorming may be inappropriate for handling medical records. Settings change, new features add new risks, and your own choices, such as what you connect and what you share, matter as much as the provider’s safeguards. Our reviews aim to give you the facts to make that call yourself. For the bigger picture of how AI models are trained and why they fail, start with AI safety and alignment explained, and for the rules that increasingly govern these tools, see our AI risk and policy guide.
Frequently asked questions
Which AI chatbot is the safest?
There is no single safest chatbot. Tools differ in privacy defaults, content policies, accuracy and integration controls, and the right choice depends on your use case, plan and settings. We compare these dimensions separately so you can decide what matters most to you.
Do AI chatbots use my conversations for training?
It depends on the provider, product and plan. Some consumer products use conversations for training unless you opt out, while business and enterprise plans usually exclude customer data by default. Check the provider’s data controls and privacy policy for your specific account.
Is it safe to put personal or work information into an AI tool?
Avoid sharing passwords, government ID numbers, health records or confidential client data unless you are using a plan with contractual data protections approved by your organization. For everyday use, turn off training where possible and use temporary chats for sensitive topics.
Are third-party AI apps less safe than official ones?
Not always, but they add another company that handles your data. Check who operates the app, which model it uses and what both privacy policies say before you sign in or pay.
How often are Safely Clever reviews updated?
Each review shows the date it was last checked. We revisit reviews when providers make significant changes to features, policies or settings, and readers can report outdated information through our contact page.
Sources
Primary sources used for this guide, checked on September 29, 2026. Policies and products change, so always check the latest version at the source.
- Data Controls in ChatGPT, OpenAI Help Center
- Memory in ChatGPT, OpenAI Help Center
- Anthropic Privacy Center, Anthropic (Claude)
- Gemini Apps Privacy Hub, Google
- Microsoft Copilot privacy controls, Microsoft Support
- Privacy FAQ for Microsoft Copilot, Microsoft Support
- OWASP Top 10 for Large Language Model Applications, OWASP GenAI Security Project (agent and integration risks)
- AI Risk Management Framework, NIST
Latest AI tool safety reviews
- AI Chatbot Safety Features Compared: What to Check Before You ChatCompare the privacy and safety controls in ChatGPT, Claude, Gemini and Microsoft Copilot: data controls, training opt-outs, chat history and what to check before you chat.
