SecOps
CloudOps
Flow Automation Highlights
Checking Alert Origin: Mindflow automates the verification of alert origins by integrating with tools like AWS and IAM. This task, which would typically require manual investigation and cross-referencing, is streamlined through automation, significantly reducing the time needed to confirm alert authenticity and minimizing the risk of human error.
Adding to Exclusion List: Mindflow automates the addition of IP addresses, usernames, or file hashes to the alert exclusion list. Traditionally, this involves manual updates to security systems, which is time-consuming and prone to mistakes. Automation ensures that these updates are made quickly and accurately, enhancing the overall efficiency of the alert management process.
Closing False Positive Alerts: Mindflow automates the decision-making process for closing false positive alerts by analyzing predefined criteria. Manually, this task involves reviewing each alert individually, leading to potential delays and inconsistent handling. With automation, alerts are closed promptly based on established rules, ensuring consistent and swift resolution, which frees up valuable time for security teams to focus on real threats.
Orchestration Toolbox
AWS IAM: In this use case, AWS IAM is utilized to verify the alert origin, ensuring that the alerts are coming from legitimate and expected sources. This helps in distinguishing between genuine alerts and false positives, thus enhancing the accuracy of the alert management process.
XDR AI Agent: Mindflow XDR AI Agent is critical in providing detailed information about the alert source. It helps in identifying whether the alert is a result of suspicious activity or a benign action, thereby aiding in the decision-making process for handling the alert
