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Introducing the Datadog Code Security MCP

Introducing the Datadog Code Security MCP

DevOps Datadog
Datadog launched Code Security MCP, a new service that scans AI-generated code in real time for vulnerabilities, secrets, and risky dependencies directly within a developer's local workflow.
What: Datadog Code Security MCP (Model Context Protocol) is designed to scan code, including AI-generated output, at generation time. It detects SQL injection vulnerabilities, insecure dependencies, and hardcoded secrets, consolidating SAST, SCA, secrets detection, and IaC scanning into a single local server. The service was published on April 7, 2026.
Why it matters: This highlights the growing security concerns around the proliferation of AI-generated code and the industry's response to integrate security checks earlier in the development lifecycle, shifting from post-commit reviews to real-time, local analysis.
Takeaway: If your team uses AI-assisted development, consider exploring Datadog Code Security MCP to integrate real-time vulnerability detection directly into your developers' local workflows.
Decoder
  • SAST (Static Application Security Testing): Analyzes source code or compiled application code for security vulnerabilities without executing the code.
  • SCA (Software Composition Analysis): Identifies and inventories open-source components in an application to detect known vulnerabilities.
  • IaC (Infrastructure as Code) scanning: Analyzes configuration files for infrastructure (e.g., Terraform, CloudFormation) to identify security misconfigurations or policy violations.
  • Model Context Protocol (MCP): A protocol used by AI agents and coding assistants to securely access external tools and information.
Original article

Datadog Code Security MCP scans AI-generated code in real time to detect vulnerabilities, secrets, and risky dependencies while consolidating multiple security checks into a single local workflow, enabling early issue detection and consistent security across development.

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