Curious about how we handle your conversations and account details? We built our systems around safety and trust. Anthropic began by focusing on ethical AI and on protecting user trust while crafting helpful services.
When you chat, each session stays separate. Conversations do not carry over from one chat to the next. We do not crawl the web in real time, and we avoid selling information to advertisers or brokers.
Our privacy policy explains how we manage account information, retention, and access controls. We keep retention practices strict, and we design systems to limit exposure of sensitive content.
For the latest policy updates, users can review official documentation at the support portal. We encourage avoiding highly sensitive entries and adjusting settings to match security needs.
Key Takeaways
- Conversations are session-based and do not persist across chats.
- Anthropic avoids selling user information to advertisers or brokers.
- Privacy policy details account handling, retention, and access rules.
- Systems emphasize safety, security, and controlled access for enterprise and consumer use.
- Check the official support portal for current policy updates and settings guidance.
Understanding the Foundations of Claude Privacy
Founding principles rooted in safety drive how we design systems and handle information.
Our privacy policy grew from a research mission to build safe, ethical AI. We process prompts, instructions, and uploaded files in real time so responses stay relevant to each session.
Servers operate across the United States, Europe, Asia, and Australia. We protect information through encryption both while in transit and at rest.
Security measures include anti-malware controls, network segmentation, and multi-factor authentication for accounts.
We collect basic account details, such as name and email, to deliver services and maintain user support. Consumer terms prevent use of conversations for training without consent.
Extensive documentation explains how models handle content and why we regularly review retention practices. Enterprise and consumer settings help manage access and usage.
| Area | Practice | Benefit |
|---|---|---|
| Global Processing | Regional servers across continents | Lower latency, legal compliance |
| Encryption | In transit and at rest | Reduced unauthorized access |
| Account Security | MFA and segmentation | Stronger access controls |
Is My Data Private With Claude
We take practical steps to protect user information and keep conversations secure.
Core Privacy Protections
We use layered controls, encryption, and strict access rules to limit exposure of account content.
Designated employees may view chats only for support or to investigate potential policy violations. Such access is logged and audited.
Users must accept updated consumer terms by October 8, 2025 to keep account access and continue to use Claude.
Third Party Data Sharing
We do not sell personal content to outside organizations for advertising or marketing purposes. Shared information only occurs under limited legal or operational needs.
Models are trained on broad sources, including licensed and public materials. You can revoke training consent by toggling “Help Improve Claude” in settings. If you opt out, retention drops to 30 days.
- Enterprise-grade controls protect conversations during processing.
- Clear settings let you manage training and retention preferences.
- We document how models interact with information in our privacy policy and policies for transparency.
| Area | Practice | User Benefit |
|---|---|---|
| Employee Access | Limited, logged review for support or violations | Auditable handling of chats |
| Training Controls | Opt-out toggle in settings | Shorter retention when opted out (30 days) |
| Third Parties | No sale to advertisers; limited sharing | Stronger protection of personal content |
How Anthropic Manages User Information
Our systems gather selected identifiers and usage patterns to keep services reliable.
What we collect. We store account details, payment entries, and technical identifiers such as IP addresses and browser types. Mobile dictation records are deleted after conversion; the converted text stays to process chats and responses.
How we share and protect information. We work with affiliates, service providers, and business partners to operate services. We may disclose records to law enforcement if law requires it. Across consumer and enterprise offerings, security measures limit access to authorized staff only.
Different rules for different uses. Claude for Work and API accounts follow distinct handling and retention practices compared to consumer accounts. Our documentation and consumer terms explain choices for retention and training.
- We collect only what is necessary to deliver a secure service.
- We never sell personal content to advertisers or brokers.
- Access is logged and audited for safety and compliance.
| Item | Practice | Benefit |
|---|---|---|
| Account details | Stored for billing and support | Reliable account access |
| Technical identifiers | IP, browser type logged | Improved security and troubleshooting |
| Third parties | Limited sharing for operations | Service continuity and maintenance |
The Role of Human Review in Safety
Human review complements automated tools to keep systems safe and reliable.
Human reviewers play a focused role in spotting safety gaps and misuse across a tiny sample of chats. Reviews help us detect patterns that automated filters miss and guide model improvement.
When human review occurs
We examine only selected conversations for safety testing, policy checks, or potential abuse. Access is limited to authorized staff and all reviews are logged and audited.
- We use human review to detect misuse and support model training while protecting privacy.
- Enterprise accounts get stronger protocols to reduce exposure during reviews.
- Highly sensitive personal information might rarely be seen; we restrict such access and monitor it.
- Legal requests from government or law enforcement can compel disclosure, and we comply when required.
- If users opt into training, feedback may be retained on secure systems for up to five years.
| Area | Practice | Benefit |
|---|---|---|
| Human review | Limited, logged sampling | Improved safety and model accuracy |
| Enterprise handling | Stricter controls and audits | Lower exposure risk during review |
| Training opt-in | Secure storage up to 5 years | Better long-term improvement |
We aim to balance user privacy, security, and ongoing improvement. You can manage settings to limit how your conversations are used and control retention where available.
Training Models on Your Conversations
You control whether content from chats feeds into training pipelines.
Opting out of training
We only use chat content for training when a user grants clear permission. If you turn that option off in settings, your conversations will not be included in model training. Deleted conversations are excluded from future use.
Impact on model improvement
When users opt in, selected content helps improve reasoning, coding, and analysis. Opted-in items may be retained longer for rigorous review and testing. For training-opted chats, retention can extend up to five years. Standard chats kept for 30 days are not used for long-term training.
Incognito mode benefits
Incognito chats are never used for training, even if global improvement settings remain on. Enterprise offerings such as Claude for Work do not use account content for training by default unless explicit consent is provided.
| Control | Behavior | Benefit |
|---|---|---|
| Opt-in toggle | Allows training use | Improves model performance |
| Opt-out / delete | Excludes conversation | Greater privacy and shorter retention |
| Incognito mode | No training use | Enhanced confidentiality |
Data Retention Policies and Timelines
We keep retention rules simple so you can control how long records remain accessible.
Standard consumer accounts keep chat records for 30 days when training is turned off. This short window limits exposure and supports basic service needs.
If users opt into model training, retention extends up to five years. That longer timeframe helps improve models and supports deeper analysis of patterns for safety and quality.
Enterprise plans follow a strict 30-day deletion policy by default. Organizations that need stricter guarantees, such as healthcare or finance teams, can request a Zero Data Retention agreement for APIs.
We store explicit feedback securely for up to five years to help refine models. Our consumer terms update explains these timelines and any policy updates.
- Timelines vary by account type and training choice.
- Short retention for standard use; extended retention for training opt-in.
- Enterprise and sensitive-sector options reduce retention further.
| Account type | Retention | Purpose |
|---|---|---|
| Consumer (opt-out) | 30 days | Service continuity and security |
| Consumer (opt-in training) | Up to 5 years | Model improvement and analysis |
| Enterprise / API | 30 days (ZDR negotiable) | Compliance and reduced exposure |
| Explicit feedback | Up to 5 years | Secure storage for product improvement |
Managing Your Privacy Settings
Adjusting settings in your account lets you limit how conversations are used.
Turn off training by toggling “Help Improve Claude” in Privacy Settings. That stops content from entering training pipelines and shortens retention in many cases.
Use Incognito mode for sensitive chats by clicking the ghost icon at the top right of a new chat window. Incognito prevents content from being used for model improvement.
Open the Connectors tab in Account Settings to review or remove connected services. This helps control which tools access your information.
Deleted chats are cleared from our back-end within 30 days unless already queued for training. You can revisit settings anytime after policy updates to confirm choices.
- We offer direct controls in your dashboard to manage retention and access.
- Enterprise accounts get additional controls to match organizational rules.
- Read our privacy policy for step-by-step guidance and recent updates.
| Control | Action | Benefit |
|---|---|---|
| Help Improve toggle | Disable training use | Shorter retention, less exposure |
| Incognito mode | Activate per chat | No training use, higher confidentiality |
| Connectors | Manage integrations | Limit external access to information |
Best Practices for Protecting Sensitive Information
Protecting sensitive files and conversations starts with clear habits and simple controls.
Before you share, decide what must stay offline. Avoid entering home addresses, phone numbers, passwords, financial records, or medical details into chats. Use pseudonyms or dummy entries when summarizing confidential transcripts or proprietary reports.
Handling Sensitive Business Data
When we use tools for work, anonymize client names and exact figures. Replace specifics with placeholders before pasting text into a chat.
For critical strategies, keep original files on secure drives. Use the assistant for brainstorming and analysis rather than long-term storage of secrets.
Review account settings and delete unneeded chats to limit retention on servers. Our privacy guidance covers handling and retention choices.
Securing Mobile Connections
Mobile carriers often collect rich metadata that may build profiles over time. We suggest using privacy-first carriers and encrypted messaging to reduce exposure.
Cape offers identifier rotation and encrypted texting to protect mobile identity. Legacy carriers have logged large breaches, so take extra care when using public networks.
Always use VPNs on public Wi‑Fi and keep apps and OS updates current to strengthen security measures.
- Avoid sharing passwords or financial details in chats.
- Use anonymized content for business summaries.
- Delete unnecessary conversations and check settings regularly.
- Prefer privacy-focused mobile tools like Cape to protect mobile identity.
Our policies support user control, but your proactive practices matter most. Follow these practices to reduce risks while using services for collaboration and analysis.
| Risk | Best Practice | Benefit |
|---|---|---|
| Sharing sensitive specifics | Use anonymized text or dummy values | Protects proprietary business plans |
| Mobile metadata collection | Use privacy-first carriers and VPNs | Limits tracking and profiling |
| Unneeded chat retention | Delete chats and adjust settings | Reduces long-term exposure and retention |
| Storing backups insecurely | Keep sensitive files on encrypted drives | Stronger control over access and backups |
For step-by-step privacy settings and policies, see our privacy policy.
Why AI Privacy Matters for Modern Businesses
As organizations adopt AI, they demand robust protections for sensitive inputs used during analysis.
Marketing teams and consultants now use AI to research competitors, draft strategies, and analyze trends. That practice raises real questions about how corporate information is handled and who can access it.
Our privacy-first design helps companies use AI for day-to-day work without fear of leakage. Enterprise terms such as those for Claude for Work prevent use of conversations for model training unless explicit consent exists.
Tools like AI Rank Checker let organizations monitor visibility in AI-generated search while protecting internal chats and records. We offer controls for training, retention, and access so teams keep control of proprietary material.
- Support competitive analysis and strategy drafting while limiting exposure.
- Provide enterprise settings that stop information from entering training systems.
- Balance visibility and confidentiality to protect brand presence in AI results.
| Need | Our Feature | Business Benefit |
|---|---|---|
| Competitive research | Training opt-out and incognito modes | Keeps insights private during analysis |
| Brand visibility | AI Rank Checker monitoring | Track presence without exposing conversations |
| Enterprise compliance | Dedicated terms and retention controls | Meets legal and regulatory requirements |
For teams that combine secure storage and AI workflows, see our guide to cloud storage and AI-powered organization for practical tips.
The Intersection of AI Visibility and Data Security
We know AI answers now shape discovery for millions every day.
Privacy protects internal records, while public visibility depends on strategy. If a business lacks mentions in model replies, a growing portion of search traffic may miss that brand.
We design systems to keep user conversations confidential and secure. At the same time, we encourage teams to use tools that track brand mentions and context in AI output.
- Balance privacy and visibility to reach new audiences without exposing sensitive material.
- Enterprise controls limit retention and access so analysis stays confidential.
- Use AI Rank Checker to monitor mentions, context, and competitor comparisons.
| Need | Our approach | Business benefit |
|---|---|---|
| Visibility | Monitor AI mentions | Better search reach |
| Security | Strict access & retention | Reduced exposure risk |
| Control | Settings for training opt-out | Clear governance for teams |
Final Thoughts on Maintaining Your Digital Privacy
Keeping control over online accounts starts with clear choices in your settings, and we urge a strong, habit of quick checks.
Read our privacy policy and review account terms so you know how long records remain. Short retention windows and clear policy notes help reduce exposure and improve security.
We encourage users to update settings regularly and delete chats they no longer need. Small acts lower risk, protect sensitive content, and keep the service aligned to user preferences.
For secure file storage options and extra tips on encrypted backups, see our guide to end-to-end encrypted cloud storage. We will keep issuing updates to help users manage retention and stay safe online.
