Detect runtime threats in Python Lambda functions with Datadog AAP

Datadog's App and API Protection (AAP) now provides in-process application security monitoring specifically for Python AWS Lambda functions, addressing the challenge of securing serverless environments where traditional perimeter defenses fall short. By integrating with the application runtime through Datadog tracing libraries, AAP offers deeper visibility into how requests interact with code, allowing detection of exploit attempts and correlation with vulnerable code paths. This approach enhances security by embedding AAP directly into the Python runtime, enabling real-time observation of function calls and request contexts. The Exploit Prevention feature adds runtime application self-protection (RASP) by analyzing data flow to detect injection attacks, while account takeover (ATO) attempts are identified through monitoring authentication-related events across invocations. This integration allows for a more comprehensive and responsive security strategy, helping teams quickly identify and mitigate threats in serverless applications.

Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.