数据留存政策
PagerDuty keeps personal data as long as required to provide the Online Services you have requested or registered for and comply with applicable laws.
数据归档和移除政策
You may request that we delete your account information by sending an email to support@pagerduty.com, but please note that we may be required (by law or otherwise) to keep this information and not delete it (or to keep this information for a certain time, in which case we will comply with your deletion request only after we have fulfilled such requirements). PagerDuty will respond to such requests within thirty (30) days or sooner if required by applicable law. When we delete account information, it will be deleted from the active database, but may remain in our archives for a limited amount of time. We will otherwise retain your information for as long as your account is active, as needed to provide you with the Online Services you have requested, or as necessary to comply with our legal obligations, resolve disputes, and enforce our agreements.
数据存储政策
Physical backups are taken once a day, every day, and logical backups once a week. We also take an incremental backup every 6 hours over the course of the day. All backup data are encrypted while in transit and stored off-site using AES 256 encryption.
使用的 LLM 模型
Exposure to LLMs is an add-on feature which requires explicit opt-in within the PagerDuty platform. If enabled, we may utilize the following models: Claude (AWS Bedrock), OpenAI (Azure OpenAI), IBM (watsonx.ai).
LLM 数据留存设置
PagerDuty has not configured AWS Bedrock, Azure OpenAI or IBM services to retain any data, nor does PagerDuty use customer data for LLM training purposes. We are utilizing the default configuration for each model, with no retention.
LLM 数据租赁政策
PagerDuty has not configured AWS Bedrock, Azure OpenAI or IBM services to retain any data, nor does PagerDuty use customer data for LLM training purposes.
LLM 数据驻留政策
PagerDuty has not configured AWS Bedrock, Azure OpenAI or IBM services to retain any data, nor does PagerDuty use customer data for LLM training purposes.