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Updates to Seer and AI docs
1. Branding: Ensure "issue fix" and "issue scan" are lowercased (when not used in a title) 2. Moved "Seer Privacy and Security" to "AI Privacy and Security" in the higher-level directory, since it applies to all gen AI features (not just Seer) 3. Shortened the privacy and security details in the main Seer's page, which was duplicate with what's in the legal page (it's linking to that for more details) 4. Moved "Disabling gen AI features" to the "AI in Sentry" page since that applies to all AI features not just Seer 5. Updated Seer privacy/legal term: removed note that it's not available in the EU (it is available now), and specified that we do not train gen AI on customer data by default (before it said only "without express consent" but wasn't clear that consent is not given by default) - this was approved by legal for a separate whitepaper
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---
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title: AI Privacy and Security
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sidebar_order: 30
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description: "Learn about how AI features in Sentry handle your data securely and protect your privacy."
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---
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Generative AI features in Sentry, including Seer, are designed with your privacy and security in mind. We take the following measures to ensure that your data is handled securely:
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## Data Processing for Generative AI
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We use the data listed below to provide insights, analysis, and solutions for your review. Your data will not be used to train any generative AI models by default and without your express consent, and AI-generated output from your data is shown only to you, not other customers.
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Our generative AI features are powered by large language models (LLMs) hosted by subprocessors identified on our [subprocessor list](https://sentry.io/legal/subprocessors/). Our subprocessors are only permitted to use the data as directed by us.
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The data used for these features includes:
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- Error messages
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- Stack traces
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- Spans and traces
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- Logs
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- DOM interactions
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- Profiles
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- Relevant code from linked repositories
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Data is stored and processed in your selected region (US or EU).
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You can learn more about our data privacy practices [here](/security-legal-pii/security/ai-ml-policy/#use-of-identifying-data-for-generative-ai-features).
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## Privacy Guarantees
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### No Training on Your Data
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Your data will **not** be used to train any generative AI models by default and without your express consent, and AI-generated output from your data is shown only to you, not other customers.

docs/product/ai-in-sentry/index.mdx

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Seer is Sentry's AI debugging agent that helps resolve errors and performance issues in your applications. Seer combines issue detection, analysis, and automated fixing capabilities to streamline your debugging workflow.
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- **[Issue Fix](/product/ai-in-sentry/seer/issue-fix/)**: Automated root cause analysis and suggested code fixes.
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- **Issue Scan**: Scans issues as they are ingested in Sentry to determine an actionability score and run Seer's Issue Fix on them automatically.
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- **[Issue Fix](/product/ai-in-sentry/seer/issue-fix/)**: Automated root cause analysis and suggested code fixes, for errors and performance issues.
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- **Issue Scan**: Scans issues as they are ingested in Sentry to determine an actionability score and run Seer's issue fix on them automatically.
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- **[Privacy & Security](/product/ai-in-sentry/seer/seer-privacy-and-security/)**: Understanding how Seer handles your data securely.
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## Issue Summary
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Issue Summary provides a quick overview of an issue by highlighting key insights taken from event and issue-level metadata. You'll see a quick overview of what's going wrong, a potential cause, and if relevant, insights from trace-connected issues.
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**Issue summary** provides a quick overview of an issue by highlighting key insights taken from event and issue-level metadata. You'll see a quick overview of what's going wrong, a potential cause, and if relevant, insights from trace-connected issues.
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## Privacy and security
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Sentry includes strong guarantees for privacy and security of your data. At a glance:
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- Sentry does not train generative AI models using your data by default and without your permission.
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- AI-generated output is shown only to you and other authorized users in your account.
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You can learn more about our data privacy practices [in the security and legal docs](/security-legal-pii/security/ai-ml-policy/#use-of-identifying-data-for-generative-ai-features).
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## Disabling Generative AI Features
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If you don't find Seer and other generative AI features useful and want to disable them for all users, you can do so in your organization's settings with the ["Show Generative AI Features" toggle](https://sentry.io/orgredirect/organizations/:orgslug/settings/#hideAiFeatures).

docs/product/ai-in-sentry/seer/index.mdx

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---
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Seer is Sentry's AI debugging agent that powers a set of features built on generative AI and ML that uses Sentry's rich context (issue details, tracing data, logs, and profiles) to help you troubleshoot and fix errors and performance issues faster.
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Seer is Sentry's AI debugging agent. It includes a set of features, built on generative AI, that use Sentry's rich context (issue details, tracing data, logs, and profiles) to help you troubleshoot and fix errors and performance issues faster.
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## Seer Capabilities
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Seer provides two main capabilities to enhance your debugging:
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- [**Issue Fix**](#issue-fix): A collaborative workflow to find the root cause and solution of issues
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- **Issue Scan**: Intelligently analyzes your issues and provides actionability scores to help you prioritize what to work on.
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- [**Issue fix**](#issue-fix): A collaborative workflow to find the root cause and solution of errors and performance issues.
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- **Issue scan**: Intelligently analyzes your issues and provides actionability scores to help you prioritize what to work on.
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### Issue Fix
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Issue Fix uses AI to find the root cause of your issues and suggest solutions. WIth Issue Fix, you can:
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Issue fix uses AI to find the root cause of your apps' issues and suggest solutions. With issue fix, you can:
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- Get automated root cause analysis using Sentry's context and your codebase
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- Receive AI-generated code fixes and unit tests
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- Get an accurate root cause analysis, using Sentry's context and your codebases
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- Receive suggested code fixes and unit tests
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- Collaborate with Seer throughout the debugging process
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- Create pull requests directly from the Seer Interface
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- Benefit from Github integration for seamless code changes
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- Create pull requests directly from the Seer interface
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Learn more about [Issue Fix](./issue-fix/).
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Learn more about [issue fix](./issue-fix/).
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### Issue Scan
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Issue Scan intelligently analyzes your issues and helps you prioritize what to work on. With Issue Scan, you can:
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Issue scan intelligently analyzes your issues and helps you prioritize what to work on. With issue scan, you can:
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- View actionability scores that indicate how likely an issue is to be fixable with a code change, manually or with Seer's issue fix
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- Enable Seer's issue fix to be started automatically once an issue is ingested in Sentry
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- Filter issues by their latest scan results
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- View actionability scores that indicate how likely an issue is to be resolvable
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- Se Seer labels in the issue stream for quick identification
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- Get insights into which issues need immediate attention
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- Enable Seer's Issue Fix to be started automatically once an issue is ingested in Sentry
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## How Seer Works
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Seer leverages multiple data sources to provide accurate analysis and solutions:
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- **Issue Context**: Error messages, stack traces, and event metadata from your [Issues](/product/issues/)
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- **Tracing Data**: Distributed [traces](/concepts/key-terms/tracing/#whats-a-trace) and span information
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- **Your Codebase**: Relevant code from linked GitHub repositories and [logs](/product/explore/logs/)
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- **Logs**: Structured [Logs](/product/explore/logs/) from your application (beta)
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- **Your Codebase**: Relevant code from linked GitHub repositories, with support for multiple repos for distributed services
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- **Performance Data**: Profiles and performance metrics
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- **Interactive Feedback**: Your input and guidance during the process
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To start using Seer's capabilities:
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1. **Enable Seer**: Make sure AI features are enabled in your [organization settings](https://sentry.io/orgredirect/organizations/:orgslug/settings/#hideAiFeatures)
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2. **Set up GitHub Integration**: For Issue Fix capabilities, [connect your GitHub repositories](/organization/integrations/source-code-mgmt/github/)
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2. **Set up GitHub Integration**: For issue fix capabilities, [connect your GitHub repositories](/organization/integrations/source-code-mgmt/github/)
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3. **Configure Settings**: Customize Seer's behavior in your project settings
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4. **Start Using**: Look for Seer options in your issue details pages
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## Data Processing for Generative AI
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## Privacy and security
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We use the data listed below to provide insights, analysis, and solutions for your review. Your data will not be used to train any generative AI models without your express consent and AI-generated output from your data is shown only to you, not other customers. Our generative AI features are powered by generative AI models hosted by subprocessors identified on our [subprocessor list](https://sentry.io/legal/subprocessors/). Our subprocessors are only permitted to use the data as directed by us.
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Sentry includes strong guarantees for privacy and security of your data. At a glance:
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The data used for these features includes:
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- Sentry does not train generative AI models using your data by default and without your permission.
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- AI-generated output is shown only to you and other authorized users in your account.
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- Error messages
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- Stack traces
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- Sentry spans
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- DOM interactions
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- Logs
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- Profiles
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- Relevant code from linked repositories
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You can learn more about our data privacy practices [here](/security-legal-pii/security/ai-ml-policy/#use-of-identifying-data-for-generative-ai-features).
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## Disabling Generative AI Features
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If you don't find Seer useful and want to disable it for all users, you can do so in your organization's settings with the ["Show Generative AI Features" toggle](https://sentry.io/orgredirect/organizations/:orgslug/settings/#hideAiFeatures).
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You can learn more about our data privacy practices [in the security and legal docs](/security-legal-pii/security/ai-ml-policy/#use-of-identifying-data-for-generative-ai-features).

docs/product/ai-in-sentry/seer/seer-privacy-and-security/index.mdx

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docs/security-legal-pii/security/service-data-usage.mdx

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## Use of Identifying Data for Generative AI Features
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For generative AI features like [Seer](/product/issues/issue-details/sentry-seer/), Sentry may access the following forms of service data to provide insights, analysis, and solutions for your review. Your data will not be used to train any generative AI models without your express consent, and AI-generated output from your data is shown only to you, not other customers.
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For generative AI features like [Seer](/product/issues/issue-details/sentry-seer/) or issue summary, Sentry may access the following forms of service data to provide insights, analysis, and solutions for your review. Your data will not be used to train any generative AI models by default and without your express consent, and AI-generated output from your data is shown only to you, not other customers.
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- Error messages
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- Stack traces
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- Sentry spans
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- Spans and traces
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- Logs
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- DOM interactions
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- Profiles
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To ensure that data is stored in your selected region, we will disable generative AI features in Sentry for EU region customers by default where data storage in the EU region is not available.
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Data is stored and processed in your selected region (US or EU).
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## Data Access Summary
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redirects.js

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source: '/product/issues/issue-details/sentry-seer/',
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destination: '/product/ai-in-sentry/seer/',
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},
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{
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source: '/product/ai-in-sentry/seer/seer-privacy-and-security',
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destination: '/product/ai-in-sentry/ai-privacy-and-security/',
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},
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];
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