Securing sensitive information in code is a challenging task, often complicated by developers hardcoding credentials or using AI-generated code that includes live API keys, leading to inadvertent exposure of enterprise secrets. Datadog Secret Scanning, now generally available as part of Datadog Code Security, addresses this issue by detecting, validating, and blocking exposed credentials to prevent security and compliance risks. Secret Scanning continuously monitors source code, repositories, and CI/CD pipelines for credential leaks, integrating directly into developer workflows to ensure rapid remediation and shift-left security. It prioritizes real, active credentials through live third-party validation, reducing false positives and alert fatigue, while proactively enforcing pre-commit and pre-merge checks to block secrets from entering codebases. This tool also correlates exposure data with runtime signals, vulnerabilities, and misconfigurations to provide a comprehensive view of application security, helping teams to trace exposures, revoke keys, and implement preventive policies. As part of the broader Code Security suite, Secret Scanning complements other tools such as Software Composition Analysis, Static and Runtime Code Analysis, and Infrastructure-as-Code Security to offer a unified risk management solution throughout the software development lifecycle.