SecOps
Flow Automation Highlights
Alert Classification by Risk
Mindflow automates the classification of <strong>Hunters.ai</strong> alerts based on predefined risk levels. Traditionally, this classification requires manual review, which can be slow and inconsistent. Automation ensures immediate and accurate categorization, crucial for prioritizing incident response tasks.
Notification via Slack
Upon detection, Mindflow triggers a notification in Slack, replacing the manual process of informing team members about potential incidents. This immediate notification accelerates the response time, enabling teams to act swiftly on high-risk alerts.
Case Creation in Jira
For each alert, Mindflow automates the creation of a Jira Ticket. This task, when done manually, is time-consuming and prone to errors. Automated ticket creation ensures that every alert is logged and tracked systematically, enhancing accountability and response effectiveness.
Orchestration Toolbox
Slack
In this use case, Slack acts as the notification hub. It alerts team members of new Hunters.ai risks and provides the option to initiate a response action. Slack's role is to facilitate immediate communication, ensuring that high-priority issues are dealt with promptly.
Atlassian Jira
Jira functions as the task management system within this workflow. It is where incidents reported by Hunters.ai are converted into trackable tickets, allowing for systematic monitoring and resolution of each case. Jira replaces manual tracking sheets and emails, providing a single source of truth for incident response tasks.
Hunters.ai
Hunters.ai serves as the initial data source, supplying the alerts to be classified and acted upon. It scans for potential threats and risks, providing the essential information that triggers the automated workflow within Mindflow.
