KANVAS is an incident response case management tool designed for investigators, featuring a user-friendly desktop interface built in Python. It streamlines workflows by enabling collaboration on spreadsheets, offering visualization tools for attack chains and incident timelines, and integrating various API insights for enhanced data analysis. Key functionalities include one-click data sanitization, MITRE mapping, and reporting capabilities, making it a comprehensive tool for handling cybersecurity incidents.

The article discusses key lessons learned from building an AI data analyst, focusing on the importance of data quality, iterative development, and the integration of human expertise. It emphasizes the need for collaboration between data scientists and domain experts to effectively harness AI capabilities for data analysis. Additionally, it outlines common challenges faced during the development process and strategies to overcome them.