Detection-as-Code & CI/CD for Detection Engineering with Dennis Chow | Detection Opportunities EP 9

Detection-as-Code & CI/CD for Detection Engineering with Dennis Chow | Detection Opportunities EP 9

This video discusses detection as code, emphasizing automation for security detection pipelines using CI/CD, synthetic AI testing, and policy as code with cloud custodian in GCP. Practical demonstrations include setting up detection pipelines, deploying security policies, and decoding PubSub messages, highlighting modern detection engineering practices. #DetectionAsCode #CloudCustodian

Keypoints :

  • Detection as code treats security detection logic as software code, enabling version control, testing, and automated deployment.
  • Using CI/CD pipelines improves detection rule reliability, reproducibility, and collaboration among detection teams.
  • Hands-on demonstrations cover synthetic AI testing with multiple models and policy enforcement using cloud custodian in GCP.
  • Resource setup includes GitHub repositories, secrets management, Terraform for infrastructure as code, and cloud-specific configurations.
  • Decoding PubSub messages from cloud platforms is essential for analyzing security alerts and automating responses.
  • Modular and configurable scripts allow customization for detection models, policies, and cloud environments.
  • The approach encourages experimentation across different threats, cloud providers, and detection tools for scalable security operations.

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