SecOps
CloudOps
Flow Automation Highlights
Search for Public AWS S3 Buckets: Mindflow automates the search for public AWS S3 buckets using JupiterOne, a task that would typically require manual querying and monitoring. By setting up scheduled searches, Mindflow ensures continuous monitoring, reducing the risk of overlooked vulnerabilities and saving time spent on manual checks.
Issue Creation in Jira: Mindflow creates issues in Atlassian Jira when public S3 buckets are detected. Manually logging issues involves multiple steps and coordination, which can delay remediation. Automation ensures immediate issue creation with relevant details, speeding up the response time and improving coordination.
Adding Remediation Prompts: Mindflow adds remediation prompts to Jira issues, guiding teams on necessary actions to secure public S3 buckets. Manually creating these prompts is prone to human error and inconsistencies. Automation provides standardized, accurate instructions, leading to quicker and more effective remediation.
Setting S3 Public Access Block Policy: Mindflow automates the implementation of the S3 public access block policy using the S3 Control API. Manually applying these policies can be complex and time-consuming, with the potential for errors. Automated execution ensures precise and consistent policy application, enhancing security and compliance.
Updating Jira with Confirmation: After implementing the block access policy, Mindflow updates the Jira issue with confirmation. Manually tracking and updating the status can lead to delays and miscommunication. Automation provides real-time updates, improving transparency and tracking of remediation actions.
Orchestration Toolbox
JupiterOne: In this use case, JupiterOne is responsible for continuously searching for public AWS S3 buckets. It sets the search on a regular schedule, ensuring that any public S3 buckets are quickly identified. This replaces the need for manual scanning and monitoring, providing consistent and timely detection of potential security risks.
Atlassian Jira: Jira is used to create and manage issues when public S3 buckets are detected. It automates the logging of security issues, including detailed prompts for remediation. This integration ensures that security alerts are promptly recorded and assigned, improving response times and coordination among team members.
S3 Control: S3 Control is utilized to implement the S3 public access block policy automatically. When a public bucket is identified, S3 Control executes the necessary steps to restrict public access, ensuring that security policies are consistently applied without manual intervention. This enhances the security and compliance of AWS S3 buckets.
