DSPM

This script checks for error entries based on provided entry IDs and returns "yes" if any errors are found or "no" if no errors are present. If errors are detected, it sets the error messages in the XSOAR context.

This XSOAR automation script generates a Slack message block to notify users of risks detected by a Data Security Posture Management (DSPM) tool. The Slack block is dynamically constructed based on the details of the security incident and includes options for users to take specific actions, such as creating a Jira ticket or remediating the risk.

This script processes user responses from a Slack block interaction, determining the appropriate action based on the selected option (either creating a Jira ticket or remediating a risk). It extracts relevant project details and ticket types from the user input, sets the necessary context in XSOAR, and handles errors gracefully.

This automation script takes asset file data as input, retrieves the container names from this data, and returns a list of all containers.

This automation script manages incidents in a list by adding or deleting incidents based on the provided action.
For incidents older than the configured time limit (default is 48 hours), the script performs a cleanup by removing
the incident from the list. Additionally, the script supports adding new incidents to the list if they do not already exist.

This automation script overwrites the value of a specified list and sends a Slack notification to inform the user that they failed to respond to an incident notification in a timely manner. The notification includes a message indicating the end of the incident playbook and an invitation to reopen the incident if necessary.

This script extracts risk details from an incident object, processes asset tags, and sets the user's Slack email for future notifications.
It retrieves the incident details, including risk information, asset tags, and configuration details from the DSPM integration. If the asset owner's email is found, it is stored; otherwise, a default email is used. The extracted data is stored in the XSOAR context and displayed in a readable markdown format.

Remediate your data security risks. Integrate with Prisma Cloud DSPM to fetch your data security risks and remediate them with OOTB playbooks.

"Send Slack Notification to User" playbook is designed to notify a user via Slack and handle their response. It begins by sending a Slack notification to a specified email using the SlackBlockBuilder script. Afterward, it waits for the user's response until a predefined time, as configured in Prisma Cloud DSPM. Once the response is received, it is inserted into the incident's context. If there is an error in generating the Slack block, the incident is added for a re-run. Finally, the playbook extracts the user's response from the Slack block state for further processing.

The playbook ensures efficient incident resolution and compliance with security policies by guiding the user through decision points based on incident type, such as empty storage assets or assets open to the world. It concludes by updating the incident status and closing the playbook upon resolution.

The DSPM Remediation playbook for Sensitive Asset Open to World is designed to handle incidents where sensitive assets are exposed to the public, with specific focus on remediating this vulnerability across several cloud providers(for example AWS).

This playbook is designed to remediate risks associated with empty storage assets across AWS, Azure, and GCP environments. It identifies the cloud provider for the asset and proceeds to delete the storage container or bucket accordingly. Additionally, it sends notifications via Slack to inform stakeholders about the status of the remediation process.

The DSPM Notify User in Case of Error playbook is designed to handle errors in DSPM incidents by notifying users and managing Slack notifications.

This playbook automates the process of creating and managing Jira issues for DSPM-related risks detected in XSOAR incidents. It creates a Jira ticket with risk details, checks for errors, updates incident details, and sends a Slack notification with ticket information. This streamlines risk tracking and notification.

The DSPM Valid User Response playbook is designed to assess and manage user responses to DSPM-identified risks. It checks the user’s selected action (e.g., creating a Jira ticket or remediating specific risk types) and initiates the appropriate remediation or notification workflows. If no user response is received, the playbook logs the incident for future action, ensuring comprehensive tracking and response handling for DSPM incidents.

The "DSPM Re-run Incident" playbook is designed to automatically re-run DSPM incidents. It starts by executing the RerunDSPMIncidents task, which reinitiates the incidents for further investigation or processing. After completing this task, the playbook proceeds to close the current incident using the closeInvestigation script. This playbook ensures that DSPM incidents can be efficiently retried and closed upon completion.