Serverless architectures are increasingly popular as they simplify scalability and infrastructure management, with significant adoption seen across major cloud platforms such as Azure, Google Cloud, and AWS. However, securing serverless applications remains a challenge due to their distributed nature and stateless components, which require security measures at multiple layers, including both code and invocation levels. Datadog App and API Protection (AAP) addresses these challenges by providing real-time monitoring of serverless applications, particularly AWS Lambda functions, to detect and respond to security threats like SQL injection and Cross-Site Scripting (XSS) attacks. AAP uses Datadog's tracing library to monitor application traffic without additional agents, generating security signals for detected threats and enabling users to quickly investigate attack details through distributed tracing. This feature allows for efficient threat response and remediation within existing workflows, integrating easily with tools such as Slack and Jira. Datadog AAP's out-of-the-box detection rules and customizable options help organizations maintain robust security postures, allowing them to focus on development and innovation while ensuring the protection of their serverless environments.