Time series data provides critical insights into system interactions and can be used to monitor security threats in real-time, helping companies identify patterns and anomalies that may indicate a security breach. By using this type of data, companies can create deeper security profiles by placing events in context with other events and patterns. InfluxDB is being used to collect and process time series data to build these profiles, allowing for the identification of authentication patterns, elimination of false positives, and tracking of employee security activity across multiple SaaS providers. The solution also includes capturing and visualizing this data, as well as exploring new features such as Bollinger bands to establish normal ranges and detect anomalies.