# Sentinel Sentinel is a new service which makes it possible for Meterian users to receive notifications about newly found vulnerabilities which are affecting libraries used on the projects in their Meterian account. If an application was scanned by Meterian and then went live, with no subsequent scans, Meterian still retains the structure of such application in terms of opensource components: if Sentinel is enabled, following daily checks run on the system, it can raise an alert when any new vulnerability is discovered, so that the appropriate remediation can be put in place. For more information about activation and prices please contact . **The Notification** The notification is related to the offending opensource component. The receiver will find detailed information about all the new vulnerabilities found since the last Meterian scan, and a list of all the projects related to the team of which the receiver is an admin. [Notification for Slack](/notifications/sentinel/slack.md) Notifications for Slack are either active or inactive for the whole team/account. When enabled, they will be directed to the Slack channel configured by the administrator. [Notification for Email](/notifications/sentinel/email-notification.md) Notifications for Email can be received by account admins or team admins. When enabled, they will be directed to the email account of the selected administrator. Your privacy is important to us. By activating Meterian notifications, you agree to our [Privacy Policy](https://www.meterian.io/gdpr.html). We are committed to protecting your data and ensuring that it is used only for the purpose of delivering these security notifications. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.meterian.io/notifications/sentinel.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.