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Product Data Collection and Usage Notice Version 1.6, last updated: July 7, 2026 Our Commitment to Transparency and Innovation In this Product Data Collection and Usage Notice, as part of our commitment to transparency, we describe what types of data (such as analytics) we collec...

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Product Data Collection and Usage Notice Version 1.6, last updated: July 7, 2026 Our Commitment to Transparency and Innovation In this Product Data Collection and Usage Notice, as part of our commitment to transparency, we describe what types of data (such as analytics) we collect, why we collect it, and the controls you have when interacting with our products. More details on collecting data in general are available in ourPrivacy Notice. Any request for such data will be transparent, clearly communicated through opt-in mechanisms, and subject to user control, with the ability to withdraw consent at any time.

  1. What Data We Can Collect To improve our products and build our next-generation AI features, we may collect four primary categories of data: a) Anonymous telemetry:This includes generalized, anonymous statistics about your interactions with IDE features.

It includes feature usage insights such as time spent on the project or mouse clicks.

b) Operational and product metadata:If you use any products under the JetBrains AI Terms of Service, JetBrains collects pseudonymized operational and product metadata, such as API call counts and error rates. This data is used for product improvement. Unless you provide us with your consent, we do not use this data for any marketing activities. We also do not train our AI on this data. c) Event-based data:We may also collect pseudonymized session data. This data is used for product improvement, and we apply extensive masking protection of session fields, so the collected data does not include any direct personal identifiers, source code, uploaded files or user prompts. We do not train our AI on this data. d) Behavioral data collection: The JetBrains AI service can collect this data to analyze product usage, improve product features, and train machine learning (ML) models that control the behavior of different product features (for example, controlling the automatic activation of ML features). It is not used for training ML models that generate code or text, or for other types of data from which outputs can be extracted. Behavioral data does not include any personally identifiable data or any source code files or fragments from the user project. e) Web-based products: We may collect and store trackers such as cookies when using web-based products. For more details, visitthis link. f) Detailed code-related data: This data collection includes general IDE usage, such as terminal usage (command runs) or edit history, and utilizes analytics from your AI features usage. This includes complete data about interactions with large language models. This means the full text of inputs sent by the IDE to the large language model and its responses, including source code snippets. The data collected may contain personal, business, or project-specific information. Detailed code-related data can be used for product improvement and training AI models. We do not collect Detailed code-related data from ourcommercial usersunlessexplicit, informed consenthas been obtained in advance. We have a safeguard in place that disallows data sharing for organizations unless there’s an explicit permission on a company level. We apply a 1-year data retention period for this data. Note that these data sharing preferences, once configured, apply to all installed JetBrains products. Detailed data is not currently collected in China. Detailed code-related data can be collected in the JetBrains IDEs as of the following versions: JetBrains IDE Version IntelliJ IDEA (Ultimate) [legacy version] Not applicable IntelliJ IDEA (Community) [legacy version] Disabled, can’t be enabled IntelliJ IDEA (unified distribution)2025.3.1; when switching to Community, detailed data sharing is disabled and can’t be enabled PyCharm Community [legacy version]Disabled, can’t be enabled

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Добавлено

  • Добавлено: стр. 1 a) Anonymous telemetry:This includes generalized, anonymous statistics about your interactions with IDE features.
  • Добавлено: стр. 1 It includes feature usage insights such as time spent on the project or mouse clicks.
  • Добавлено: стр. 1 JetBrains IDE Version IntelliJ IDEA (Ultimate) [legacy version] Not applicable IntelliJ IDEA (Community) [legacy version] Disabled, can’t be enabled IntelliJ IDEA (unified distribution)2025.3.1; when switching to Community, detailed data sharing is disabled and can’t be enabled PyCharm Community [legacy version]Disabled, can’t be enabled
  • Добавлено: стр. 2 CLion 2025.3.1
  • Добавлено: стр. 2 DataGrip 2025.3.1

Изменено

  • Изменено: стр. 1 Было In this Product Data Collection and Usage Notice, as part of our commitment to transparency, we describe what types of data (such as analytics) we collect, why we collect it, and the controls you have when interacting with our products. More details on collecting data in general are available in our Privacy Notice. Стало Product Data Collection and Usage Notice Version 1.6, last updated: July 7, 2026 Our Commitment to Transparency and Innovation In this Product Data Collection and Usage Notice, as part of our commitment to transparency, we describe what types of data (such as analytics) we collect, why we collect it, and the controls you have when interacting with our products. More details on collecting data in general are available in ourPrivacy Notice.
  • Изменено: п. 1 стр. 1 Было 1. What Data We Can Collect Стало 1. What Data We Can Collect To improve our products and build our next-generation AI features, we may collect four primary categories of data:
  • Изменено: стр. 1 Было f) Detailed code-related data : This data collection includes general IDE usage, such as terminal usage (command runs) or edit history, and utilizes analytics from your AI features usage. This includes complete data about interactions with large language models. This means the full text of inputs sent by the IDE to the large language model and its responses, including source code snippets. The data collected may contain personal, business, or project-specific information. Detailed code-related data can be used for product improvement and training AI models. We do not collect Detailed code-related data from our commercial users unless explicit , informed consent has been obtained in advance. We have a safeguard in place that disallows data sharing for organizations unless there ' s an explicit permission on a company level. We apply a 1-year data retention period for this data. Стало f) Detailed code-related data: This data collection includes general IDE usage, such as terminal usage (command runs) or edit history, and utilizes analytics from your AI features usage. This includes complete data about interactions with large language models. This means the full text of inputs sent by the IDE to the large language model and its responses, including source code snippets. The data collected may contain personal, business, or project-specific information. Detailed code-related data can be used for product improvement and training AI models. We do not collect Detailed code-related data from ourcommercial usersunlessexplicit , informed consenthas been obtained in advance. We have a safeguard in place that disallows data sharing for organizations unless there ’ s an explicit permission on a company level. We apply a 1-year data retention period for this data.
  • Изменено: стр. 1 → 2 Было | IntelliJ IDEA (unified distribution) | 2025.3.1; when switching to Community, detailed data sharing is disabled and can ' t b | Стало JetBrains IDE Version PyCharm Professional [legacy version]Not applicable PyCharm (unified distribution) 2025.3.1; when switching to Community, detailed data sharing is disabled and can ’ t be enabled
  • Изменено: п. 4 стр. 1 → 2 Было 4. Our Commitment to Data Privacy and Security Стало 4. Our Commitment to Data Privacy and Security We continue to strive for the highest security and privacy standards. Our processes are designed with robust safeguards to protect your information.
  • Изменено: стр. 1 → 3 Было Access to raw data is highly restricted to authorized personnel. Стало • Access to raw datais highly restricted to authorized personnel.

Удалено

  • Удалено: стр. 1 Product Data Collection and Usage Notice
  • Удалено: стр. 1 Version 1.6, last updated: July 7, 2026
  • Удалено: стр. 1 Our Commitment to Transparency and Innovation
  • Удалено: стр. 1 To improve our products and build our next-generation AI features, we may collect four primary categories of data:
  • Удалено: стр. 1 a) Anonymous telemetry: This includes generalized, anonymous statistics about your interactions with IDE features. It includes feature usage insights such as time spent on the project or mouse clicks.
  • Удалено: стр. 1 | JetBrains IDE | Version |
  • Удалено: стр. 1 |--------------------------------------------|--------------------------------------------------------------------------------------|
  • Удалено: стр. 1 | IntelliJ IDEA (Ultimate) [legacy version] | Not applicable |
  • Удалено: стр. 1 | IntelliJ IDEA (Community) [legacy version] | Disabled, can't be enabled |
  • Удалено: стр. 1 | PyCharm Community [legacy version] | Disabled, can't be enabled |
  • Удалено: стр. 1 | JetBrains IDE | Version |
  • Удалено: стр. 1 |------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------|
  • Удалено: стр. 1 | PyCharm Professional [legacy version] PyCharm (unified distribution) CLion DataGrip DataSpell Fleet GoLand | Not applicable 2025.3.1; when switching to Community, detailed data sharing is disabled and can't b 2025.3.1 2025.3.1 2025.3.1 Not applicable 2025.3.1 |
  • Удалено: п. 2 стр. 1 2. Why We Collect This Data
  • Удалено: стр. 1 Our primary goal is to provide you with tailor-made, data-based tools. To achieve this, we collect only the data necessary for the following purposes: product analytics, model evaluation, security and audibility, training our own AI models, and marketing. We respect both individual and corporate privacy policies. Any data you share will be handled responsibly and in full compliance with EU data protection laws.
  • Удалено: п. 3 стр. 1 3. How We Collect Data to Enhance Your Experience: Your Preferences
  • Удалено: стр. 1 Unless specified below, we collect analytics specified above with your explicit consent. You can always check and change your preferences in the product settings.
  • Удалено: стр. 1 | User category | License type |
  • Удалено: стр. 1 |---------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
  • Удалено: стр. 1 | Individual developer | Non-commercial license Individual (commercial), Trial, or Early Access Program (EAP) Organizational license Free Community versions of IntelliJ IDEA and PyCharm Free community licenses (open-source, students, classroom, content creators, user groups, and D |
  • Удалено: стр. 1 | Company | Organizational license |
  • Удалено: стр. 1 | Remote development mode | All license types |
  • Удалено: стр. 1 | Code With Me | All license types |
  • Удалено: стр. 1 | Products under JetBrains AI ToS | |
  • Удалено: стр. 1 We continue to strive for the highest security and privacy standards. Our processes are designed with robust safeguards to protect your information.
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Product Data Collection and Usage Notice Version 1.6, last updated: July 7, 2026 Our Commitment to Transparency and Innovation In this Product Data Collection and Usage Notice, as part of our commitment to transparency, we describe what types of data (such as analytics) we collec...

  • Product Data Collection and Usage Notice
  • Our Commitment to Transparency and Innovation
  • 1. What Data We Can Collect
  • 2. Why We Collect This Data
  • 3. How We Collect Data to Enhance Your Experience: Your Preferences
  • 4. Our Commitment to Data Privacy and Security
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