Amazon Security Lake is a centralized platform for collecting and analyzing security data across various sources, including AWS environments, SaaS providers, on-prem environments, and cloud sources. It uses the Open Cybersecurity Schema Framework (OCSF) to normalize security data into a common format, making it easier to integrate with other tools for analysis and response. To threat hunt in Amazon Security Lake, teams need to connect their S3 bucket with an external partner that can help with data analysis. This involves integrating with tools like ChaosSearch, which allows monitoring and analyzing security content at scale while reducing operational costs. A successful threat hunt requires a clear definition of roles and responsibilities within the security team, equipping them with necessary skills and knowledge to navigate Amazon Security Lake and its associated tools. The process also involves establishing a threat hunting framework, organizing searches for signs of potential compromises or security incidents, refining Indicators of Compromise (IoCs) through machine learning and hypothesis-driven hunting, and executing threat hunts using tools like ChaosSearch to analyze security data and identify anomalies and patterns that may indicate potential security threats.