This workflow automates the monitoring of Twitter for cybersecurity-related keywords, such as brand mentions and vulnerability alerts. It triggers at scheduled intervals with a Twitter search node, filtering tweets containing specific terms. The relevant tweets are then formatted into clear notification messages by a code node, which extracts key details like user handle, tweet content, and URL. A filter node ensures only relevant mentions are processed, avoiding spam or irrelevant content. If the mention passes the filter, an alert is sent instantly to a Slack channel, keeping security teams informed of real-time online discussions and potential threats. This workflow is ideal for cybersecurity teams, IT security personnel, or brand managers to maintain continuous awareness without manual effort, especially useful for proactive threat intelligence and reputation management.