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Send an AI service only the minimum information needed to complete the task, and never put credentials in a prompt. Before sharing anything sensitive, confirm that the exact product, account, endpoint, feature, and workflow are approved for that data.

“Not used for training” and “zero data retention” do not necessarily mean that no prompt, output, file, derived metadata, or application state is stored. Data may pass through provider safety logs, file or retrieval storage, your own application and telemetry, and other systems—not just the model.

What should I do before putting sensitive data into an AI prompt?

  1. Classify and approve the data. Identify its owner, sensitivity, contractual or legal restrictions, and approved uses. Confirm that the exact provider account or tenant, endpoint, model, feature, and workflow are approved for it. Approval to use an AI service generally does not approve every dataset or use case. The U.S. Department of Energy (DOE) guidance says its recommendations do not authorize a data use or replace institutional privacy, cybersecurity, export-control, or research-security requirements.
  2. Reduce the information to what the task needs. Remove unrelated fields and records, names, direct identifiers, account details, internal URLs, and proprietary passages where they are not necessary. Substitute synthetic examples or stable placeholders if they preserve the task. Keep any required original data separately under appropriate access controls. OWASP AI Exchange recommends limiting sensitive data throughout collection, preparation, training, evaluation, and runtime logging; it notes that AI models may tolerate reduced feature sets and incomplete data.
  3. Check the complete data path. Map where prompts, outputs, attachments, retrieved documents, embeddings, memory, tool results, and application state travel and persist. Include your own gateway, observability stack, backups, and exports, as well as provider systems. For each copy, determine who can access it, how it can be deleted, and how long it remains.
  4. Check the terms for this precise workflow. Verify training or service-improvement use, content and metadata logging, retention, deletion, feature eligibility, processing location, and access terms. Check whether the provider is processing a direct API request or a cloud partner-operated deployment. Provider controls can differ by product, endpoint, account, feature, and contract.
  5. Keep evidence without retaining the payload. Record the information needed to explain and investigate a workflow, but redact or omit raw sensitive content. Restrict access and set a retention period for the records you keep.

Removing names alone does not prove that information is anonymous. The guidance cited here supports minimization and obfuscation, but it does not establish that any particular masking method guarantees anonymity in every context.

Which kinds of sensitive information should never go into prompts?

Never paste passwords, API keys, access tokens, certificates, or connection strings into prompts. Keep them out of notebooks, screenshots, agent instructions, committed configuration files, test fixtures, and logs as well. DOE recommends using an approved secret manager for systems that need credentials, granting only the necessary permissions, and using separate, short-lived, scope-limited credentials where supported. Know how to revoke them.

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For other confidential information, use the data owner’s rules and the approved-use decision for the exact workflow. Minimize identifiers, account details, internal addresses, proprietary text, and unrelated records rather than assuming that a provider setting makes unnecessary disclosure safe.

Do AI providers keep prompts in model logs, and how long?

There is no single retention rule for all AI products, interfaces, endpoints, or jurisdictions. Also distinguish training use from operational logging: a service can exclude API data from model training by default and still retain content in abuse-monitoring logs or application state. The following are examples from provider documentation, not a ranking or universal policies.

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Provider and documented scope What the documentation says Scope to verify
OpenAI API API data is not used to train or improve models by default unless the customer opts in. Abuse-monitoring logs may contain prompts, responses, and derived metadata and are retained for up to 30 days by default. Longer retention may apply where required by law or to protect services or third parties. Approved customers can request Modified Abuse Monitoring or Zero Data Retention (ZDR). ZDR changes storage behavior for certain endpoints; some features may still store application state. Confirm the endpoint, feature, and account eligibility.
Anthropic Claude API and other deployments Anthropic distinguishes direct Claude API use, where Anthropic is the processor, from consumer products and partner-operated deployments. Its ZDR arrangement is specific to eligible API use and must be enabled for the organization. For deployments through Amazon Bedrock or Google Cloud’s Agent Platform, consult the relevant cloud provider’s terms.
Google Cloud Gemini Enterprise Agent Platform documentation For the documented circumstances, suspicious-use prompt logs may be stored for up to 90 days. The Advanced AI safety section describes prompt and response logging for up to 30 days for specified designated services. Some features may not offer an opt-out. These durations apply to the documented service scopes, not to every Google Cloud service. The page was last updated 2026-10-02.

These examples show why “not used for training” and “ZDR” are not interchangeable with “nothing is retained.” Review the live provider documentation and your contract for the workspace, project, endpoint, and feature you actually use; controls and eligibility can change.

How can I check whether privacy settings cover my exact AI workflow?

Use a short review record for each approved workflow. Ask the provider, cloud administrator, or data owner to confirm the answers rather than relying on a product-wide label.

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Rank #3
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  • Filter Dimensions: Width: 11 15/16" (304 mm), Height: 7 1/2" (190 mm), Diagonal: 14.1" (358.14 mm) - SightPro Blackout Privacy Filter is engineered to be compatible with Lenovo, HP, Dell, Acer, Asus, Samsung, and other laptop brands. Please verify your screen's width and height measurements before ordering. It's not recommended to make your selection based solely on your screen's diagonal size. [Not optimized for touchscreens.]
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  • Service and responsibility: Which product, tenant, project, model endpoint, and feature process the request? Is the provider processing a direct API call, or is a cloud platform the processor?
  • Training and improvement: Are prompts or outputs used for training or service improvement? Does opting in change the default?
  • Content and metadata logs: Which prompts, outputs, files, or derived metadata may be logged? What are the retention periods and exceptions, and who can access those records?
  • Separate storage: Do files, retrieval content, transcripts, memory, or application state persist outside abuse-monitoring logs? What deletion mechanism applies to each?
  • Retention controls: Is ZDR or modified monitoring available for this organization, endpoint, and feature? Does it require approval or explicit enablement, and what storage behavior does it actually change?
  • Processing and contract: Where is data stored and processed? What contractual commitments and customer-managed controls apply, and are there legal or safety exceptions?
  • Local copies: Does your own application, gateway, monitoring service, backup, or export retain request or response content? Who can access each copy, and how long is it kept?

OpenAI’s business documentation describes access-management and regional storage or processing options for eligible products and customers. Those organization-specific options do not remove the need to minimize inputs or inspect other data paths.

How can I keep useful audit logs without copying sensitive prompt content?

Keep records that help explain what happened without turning the log into another copy of confidential data. DOE lists the following as potentially useful evidence:

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  • 【Superior Privacy】- Our advanced multi-layered film filter blacks out your screen when viewing from the side, while maintaining a crystal clear screen straight-on. It also protects your eyes from harmful UV and blue light. [Note: It does not block visibility directly behind you, regardless of the distance.]
  • 【Perfect for Travel and Open Workspaces】- The Laptop Privacy Screen Filter is the ideal solution for healthcare providers, mobile workers, commuters, students, and business travelers. Now you can stay compliant and safeguard sensitive corporate information while working in airplanes, subways, airports, and public areas.
  • 【Package Contents】- Each package includes a magnetic privacy screen filter, magnetic stickers, a webcam privacy cover, a storage folder, and a cleaning cloth. Buy with confidence – located in the US, Sight Pro specializes in providing best-in-class privacy solutions to individuals, small businesses, corporations, government, and educational institutions. Our privacy screens are Section 889 and TAA compliant.
  • Provider, endpoint, model ID, date, and framework and tool versions.
  • Versioned prompt identifiers, data provenance, and the actions the system took.
  • Approvals, errors, timestamps, resource use, and test results.
  • Outputs and human-review decisions when they are needed for the workflow.

Redact or omit secrets and unrestricted copies of sensitive prompts, files, and data. Limit log access and define retention for the evidence you keep. OWASP AI Exchange describes removing or anonymizing data after use as a short-retention control.

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What if the AI workflow can take actions?

Do not rely on prompt wording to prevent access or actions. DOE’s guidance puts it plainly: “A prompt such as ‘never delete files’ is not an access control.” Enforce least privilege in the application, operating system, API gateway, database, or policy layer. Where possible, restrict allowed data and destinations, use read-only access, and require human review for consequential actions.

Special offer. See more information about Outbyte and uninstall instructions. Please review EULA and Privacy policy.
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SightPro 15.6 Inch 16:9 Laptop Privacy Screen Filter - Computer Monitor Privacy Shield and Anti-Glare Protector
  • 【Filter Dimensions】: Width: 13 9/16" (345 mm), Height: 7 5/8" (194 mm), Diagonal: 15.6" (396.24 mm) - SightPro Blackout Privacy Filter is engineered to be compatible with Lenovo, HP, Dell, Acer, Asus, Samsung, and other laptop brands. Please verify your screen's width and height measurements before ordering. It's not recommended to make your selection based solely on your screen's diagonal size. [Not optimized for touchscreens.]
  • 【Two Attachment Options】- Installs in minutes. Option 1 uses clear adhesive strips that securely attach to any screen. Option 2 uses slide mount tabs that easily stick to the display frame, allowing you to slide the filter on and off the screen as needed.
  • 【Superior Privacy and Reduce Glare】- Our advanced multi-layered film filter blacks out your screen when viewing from the side, while maintaining a crystal clear screen straight-on. It also protects your eyes from harmful glare, UV, and blue light. [Note: It does not block visibility directly behind you, regardless of the distance.]
  • 【Perfect for Travel and Open Workspaces】- Our computer screen privacy filter is the ideal solution for healthcare providers, mobile workers, commuters, students, and business travelers. Now you can stay compliant and safeguard sensitive corporate information while working in airplanes, subways, airports and public areas.
  • 【Package Contents】- Each package includes one privacy screen shield filter, two sets of clear adhesive strips, two sets of slide mount tabs, and a microfiber cleaning cloth. Buy with confidence – located in the US, Sight Pro specializes in providing best-in-class privacy solutions to individuals, small businesses, corporations, government, and educational institutions. Our privacy screens are Section 889 and TAA compliant.

Product prices and availability are accurate as of the date/time indicated and are subject to change. Any price and availability information displayed on Amazon at the time of purchase will apply.