Dec 9, 2025
When choosing between ChatGPT and Gemini for privacy and encryption, the key differences come down to how each platform handles data and user controls:
For highly sensitive tasks, NanoGPT stands out by keeping all data stored locally on your device, avoiding cloud risks entirely.
| Feature | ChatGPT | Gemini | NanoGPT |
|---|---|---|---|
| Encryption | TLS & AES; SOC 2 compliant | TLS & AES; SOC 2 compliant | Local device storage |
| Data Retention | 30 days (API); manual deletion | 18 months default; customizable | No retention; local deletion |
| Model Training | Enterprise: No training use | Opt-out available | Not used for training |
| Privacy Controls | Disable history, manual deletion | Retention settings, date-range deletion | Full local control |
| Enterprise Use | Data isolation; SOC 2; GDPR/CCPA | Google Workspace tools; SOC 2, HIPAA | Local-first, no cloud risks |
For general tasks, both ChatGPT and Gemini are robust options. For sensitive or regulated data, ChatGPT Enterprise or NanoGPT may offer better peace of mind.
When you interact with ChatGPT - whether through the web interface, mobile app, or API - your data is transmitted securely using HTTPS with TLS encryption. This ensures that your connection to OpenAI's servers is protected, preventing third parties from intercepting your prompts or conversations. The encryption standard used is TLS 1.2 or higher, which meets the requirements of most U.S. enterprises and regulatory frameworks.
Once your request reaches OpenAI's servers, it is stored with encryption at rest using AES-based storage encryption, managed through cloud key-management services. Access to this data is tightly controlled through role-based access controls and monitored via audit logs, adhering to practices aligned with SOC 2 security standards. Key management practices include access logging, separation of duties, and regular key rotation - standards expected by enterprise security teams when assessing vendor risks.
After ensuring encryption during transmission and storage, ChatGPT enforces specific data retention and usage policies based on the type of account. For free and standard consumer accounts, chat content may be retained and used to improve OpenAI's models unless you adjust your privacy settings. This means prompts from free-tier users, by default, could contribute to training future versions of ChatGPT.
For ChatGPT Enterprise and certain business plans, OpenAI guarantees that prompts and outputs are not used for model training. Retention is limited to operational needs like billing and abuse prevention. For API users, OpenAI retains prompt and response data for approximately 30 days for security and abuse monitoring but excludes this data from model training unless customers explicitly opt in.
ChatGPT includes several tools to give users control over their data. The chat history toggle allows you to disable the saving of new conversations, ensuring they are excluded from your history and not used for model training, apart from limited retention for security or abuse prevention. Users can delete individual conversations or clear their entire chat history, which either anonymizes or removes records as per OpenAI’s policies.
At the account level, users can manage data preferences and exercise rights under privacy laws such as CCPA/CPRA, including requests to access, correct, or delete personal data.
ChatGPT Enterprise builds on these privacy features with enhanced administrative and data isolation capabilities. Unlike the consumer product, ChatGPT Enterprise provides organizations with administrative controls to manage user access, configure single sign-on (SSO), and enforce security measures like multi-factor authentication and role-based permissions.
Enterprise customers benefit from data isolation, ensuring that their conversation data is kept separate from consumer workloads. OpenAI commits that enterprise data is not used to train its models, a guarantee formalized in their data-processing terms. Additionally, administrators have access to audit logs that track user logins, API activity, and key operations, helping with security monitoring and compliance reporting in line with corporate governance standards.
From a compliance perspective, OpenAI positions ChatGPT Enterprise as operating within a SOC 2-aligned control environment. This means its security, availability, and confidentiality controls have been independently audited. OpenAI also aligns with privacy laws like GDPR and CCPA/CPRA, offering data-subject rights, transparent data usage disclosures, and contractual data-processing addenda for its business customers. For organizations handling regulated data, OpenAI may support contractual protections similar to BAA-style agreements, but businesses should confirm the specifics directly with OpenAI before using the service for protected health information or other sensitive data.
For U.S. businesses, the implications are straightforward: free and Plus tiers are not suitable for corporate or regulated data since user prompts might be used to improve models. On the other hand, ChatGPT Enterprise is designed for handling sensitive corporate information, customer data, or proprietary intellectual property. It ensures that prompts and outputs remain isolated, encrypted, and protected by enterprise-level security and compliance measures.
Gemini employs strong encryption protocols at every step of its data handling process, similar to ChatGPT. When you send a prompt through the Gemini web interface or mobile app, your data is transmitted securely using HTTPS with TLS encryption. Once the data reaches its destination, it is processed and stored with AES-based encryption, following strict key management and access controls. These practices align with Google Cloud's established security standards. For features tied to Workspace - like summarizing Gmail threads or drafting in Google Docs - Gemini accesses your documents based on the permissions tied to your Google Account. All interactions are logged in Workspace audit logs for transparency.
By default, Gemini stores your conversation history in your Google Account for 18 months. However, you can adjust this retention period to 3 or 36 months in your privacy settings. Whether your interactions are used to improve Gemini's models depends on the account type. For personal accounts, your data may contribute to improving the service but is never used for advertising purposes. For business customers or Gemini in Google Workspace, customer data is excluded from training models unless you explicitly opt in.
In the U.S., users can manage their Gemini-related data through their Google Account under "Data & privacy" or "My Activity." These tools allow you to toggle activity tracking, set auto-delete intervals, or delete specific prompts. For example, if you share sensitive details - like financial or health-related information - you can delete individual conversations or clear activity for a specific date range. These changes sync across all your devices. Within the Gemini interface, you can also delete entire conversations directly. Deletion serves as the primary method for removing content, and the interface may include indicators to show when a conversation is shared or exported, helping you understand when others might view your content. For business users, Gemini scales these controls to meet more rigorous compliance standards.
Gemini's enterprise solution is designed to keep customer data isolated and comply with U.S. regulations, much like ChatGPT Enterprise. Operating within the Google Workspace or Google Cloud security framework, Gemini ensures that business data is distinct from consumer services. Administrators can enforce policies using advanced tools like DLP and audit logs. From a compliance standpoint, Gemini for Workspace and enterprise customers benefits from Google's certifications, such as SOC 2 and ISO 27001, and supports key U.S. regulations like HIPAA and FERPA under specific agreements. This makes Gemini suitable for industries like healthcare, education, or finance. For instance, organizations handling regulated data - such as protected health information or student records - may find the consumer Gemini web app insufficient. Instead, deploying Gemini through Workspace or Google Cloud offers a more secure and compliant environment for these needs.
Here’s a side-by-side look at how ChatGPT and Gemini compare when it comes to privacy and encryption.
| Feature | ChatGPT | Gemini |
|---|---|---|
| Encryption Standards | SOC 2 compliance, encrypts data both in transit and at rest | SOC 2 compliance, encrypts data both in transit and at rest |
| Default Data Retention | No fixed default; binary keep-or-delete option | 18 months by default, customizable to 3 or 36 months |
| Model Training Opt-Out | Enterprise tier ensures no training use; paid plans allow prevention | Opt-out available, though data collection supports Google's ecosystem |
| Conversation Archiving | Supported | Not supported |
| Context Window | 128,000 tokens (GPT-4o); 400,000 tokens (Pro) | 1 million tokens |
| Integration Ecosystem | Extensive third-party plugins and custom GPTs | Smooth integration with Google Workspace tools |
| Privacy Control Granularity | Simple interface; fewer options for customization | Highly detailed settings for retention and deletion by date range |
Gemini offers clear control over how long your data is stored, with options to set retention windows to 3, 18, or 36 months. ChatGPT, on the other hand, provides a simpler approach: you can either keep or delete your chats, but there’s no option to schedule automatic deletions. Individual conversations can be removed, or you can clear your entire chat history manually. Unlike Gemini, ChatGPT also includes a conversation archiving feature, which allows you to save older chats without cluttering your active list.
These differences highlight how each platform approaches user data: Gemini leans toward customizable retention policies, while ChatGPT focuses on straightforward manual controls.
ChatGPT’s Enterprise tier guarantees that your data won’t be used for training. However, free and standard users’ conversations may still contribute to improving the model unless they adjust privacy settings. Newer controls have made it easier to manage this, but the default for free users is still inclusion in training.
Gemini also allows users to opt out of training contributions, but its foundation in Google’s ecosystem means data collection plays a bigger role. Gemini is fine-tuned to provide more “responsible” responses and aims to combat bias and toxicity, but its data practices remain tied to Google’s broader infrastructure.
When it comes to privacy settings, Gemini provides a more detailed and user-friendly experience. You can easily adjust retention periods or delete conversations from specific time ranges through the Gemini Apps Activity settings.
ChatGPT, while simpler, offers fewer customization options. You can delete individual conversations or clear your history, and its archiving feature helps manage older chats without losing them. However, ChatGPT doesn’t allow you to set automatic deletion schedules or customize retention periods to the same degree as Gemini. Additionally, ChatGPT recently removed restrictions on sharing image-containing chats, offering more flexibility in sharing conversations, whereas Gemini lacks an archiving feature entirely.
For businesses dealing with sensitive or regulated data - like healthcare, finance, or education - both platforms bring robust security measures to the table, but they take different paths.
ChatGPT’s Enterprise tier is designed for high-security needs. It guarantees data isolation, doesn’t use your information for training, and complies with SOC 2 standards while encrypting data at every stage. This makes it particularly appealing for industries where strict data handling is critical.
Gemini benefits from Google’s established security infrastructure and integrates seamlessly with tools like Google Drive, Gmail, and Docs. For organizations already using Google Workspace, Gemini offers the convenience of working directly with live documents while keeping data within a unified system.
When working with large documents, Gemini has the edge with its 1 million-token context window. This makes it easier to process extensive reports or legal documents in a single request, reducing the need to split data over multiple prompts. ChatGPT Pro’s 400,000-token capacity is still substantial but falls short in comparison. From a privacy standpoint, Gemini’s larger context window may reduce the number of data transmissions needed for handling large files.
Ultimately, both platforms are equipped to handle enterprise-level operations, with the choice depending on your organization’s existing tools and specific needs for security and compliance.
NanoGPT prioritizes privacy by storing all user conversations directly on your device, bypassing the risks tied to remote servers. This means that every prompt and response stays local, significantly reducing the chances of data breaches.
The platform operates on a pay-as-you-go model, starting at just $0.10, with no subscription required. You only pay for what you use.
"We believe AI should be accessible to anyone. Therefore we enable you to only pay for what you use on NanoGPT, since a large part of the world does not have the possibility to pay for subscriptions." – NanoGPT
Getting started is simple - there’s no need to create an account. NanoGPT uses a secure cookie on your device to link to your funds. This approach minimizes personal data collection, ensuring that your information stays entirely in your hands. By focusing on local data storage, NanoGPT offers a unique and secure way to interact with AI models.
NanoGPT brings together models like ChatGPT and Gemini under one roof, but what sets it apart is its commitment to local data storage. Unlike traditional cloud-based systems, NanoGPT keeps all your prompts and responses on your device. The platform also provides access to over 400 AI models through a single interface.
Additionally, NanoGPT explicitly instructs providers not to use your data for model training.
"Conversations are saved on your device. We strictly inform providers not to train models on your data. Use us, and make sure that your data stays private." – NanoGPT
This unified, local-first platform eliminates the hassle of managing multiple subscriptions with varying data policies. Whether you’re generating text or images, NanoGPT ensures your data stays private and under your control.
NanoGPT’s local storage model aligns perfectly with the rigorous privacy standards required by many U.S. industries. By keeping data on your device, NanoGPT supports encryption and privacy measures that cloud-based systems often struggle to meet. For professionals in regulated fields, this approach can be a game-changer.
For example, healthcare providers can use ChatGPT for clinical decision-making without risking patient data on external servers. Similarly, law firms and financial advisors can maintain strict confidentiality for sensitive client information, such as attorney-client communications or financial records.
The pay-as-you-go pricing in U.S. dollars offers transparency and cost control, making it an attractive option for budget-conscious users and small businesses. NanoGPT also provides an API for seamless integration into existing workflows, enabling businesses to create privacy-focused AI solutions that meet enterprise security standards. And when you delete conversations in NanoGPT, they’re removed instantly from your device, giving you complete control over your data.
ChatGPT and Gemini both offer strong encryption and enterprise-level security, but their approaches to privacy differ. ChatGPT emphasizes isolated data practices and provides detailed user controls, such as the ability to disable chat history, opt out of training data usage, and secure contractual guarantees for enterprise users. This makes it a reliable option for U.S. businesses and professionals who prioritize clear data boundaries, particularly when handling proprietary information or sensitive client data.
Gemini, on the other hand, leverages Google's well-established enterprise infrastructure. For organizations already using Google Workspace, Gemini integrates seamlessly with existing identity management systems, data loss prevention policies, and compliance frameworks. This streamlined setup can simplify governance for U.S. companies that rely on Google's tools. However, its deeper connection to Google’s ecosystem means AI interactions may engage with more data touchpoints within Google services, a consideration for those with heightened privacy concerns.
For regulated U.S. data, consumer plans from either provider are not suitable. Both enterprise versions offer the necessary compliance features and administrative controls for regulated environments, but careful review of vendor terms and proper configuration are essential. Small practices and solo professionals without access to enterprise contracts face a tougher decision: consumer plans inherently carry risks when dealing with protected or sensitive information.
An alternative worth considering is NanoGPT, which eliminates cloud-based vulnerabilities with its local-first design. By storing all interactions directly on your device and prohibiting the use of your data for training, NanoGPT provides a higher level of control and privacy. This makes it particularly appealing for U.S. professionals such as attorneys drafting legal strategies, financial advisors working on client portfolios, or healthcare providers reviewing clinical notes. Keeping sensitive data off external servers can mean the difference between acceptable risk and a compliance breach.
NanoGPT’s pay-as-you-go pricing, starting at just $0.10, offers an affordable solution for those seeking privacy without the cost of enterprise plans. It supports both ChatGPT and Gemini models within a single interface, while ensuring conversations remain stored locally. When you delete a conversation in NanoGPT, it’s erased from your device immediately - no need to wait for a vendor’s retention policy to take effect.
Start by assessing your data’s sensitivity. For public or low-risk tasks like drafting blog posts, general research, or brainstorming, any platform can suffice. For internal business content that doesn’t fall under strict regulations, ChatGPT Plus with history disabled or Gemini Advanced integrated into Workspace may be appropriate. However, for highly sensitive material, especially in regulated industries, the best options are an enterprise plan configured with legal oversight or a local solution like NanoGPT that avoids cloud storage altogether.
In practice, many users will benefit from a hybrid approach: using enterprise ChatGPT or Gemini for collaborative workflows requiring cloud-based features, and NanoGPT for confidential tasks that demand local control. This strategy aligns with the varying security needs outlined above, helping you balance privacy with the capabilities of modern AI tools. Matching the right tool to the right use case ensures both data protection and effective AI utilization.
OpenAI takes strong precautions to safeguard enterprise data when using ChatGPT. By default, any data shared with ChatGPT is not used to train or refine their models unless users specifically choose to opt in. For enterprise clients, extra layers of protection are typically provided. These include data encryption during both transmission and storage, along with isolated environments designed to maintain privacy. It's always a good idea to review the service's terms and privacy policies to get the most accurate and current information.
Gemini's privacy features are built to work effortlessly within the Google ecosystem, but it's crucial for businesses to assess how their data is handled and stored. Given that Google services rely on centralized data processing, organizations need to determine if Gemini's privacy settings align with their specific data management and separation policies.
For companies prioritizing strict data separation, it's wise to examine Gemini's encryption methods and how user data integrates with Google's infrastructure. This step helps ensure compliance with both internal privacy guidelines and any applicable regulatory requirements.
NanoGPT keeps all user data stored directly on the user's device, ensuring a high level of privacy - especially important for industries bound by strict data regulations. Unlike cloud-based systems, this method removes the risk of third-party access or data being repurposed for AI training. It gives businesses tighter control over sensitive information while helping them stay compliant with regulatory standards.
