Security Observability and the Mystery of Detection as Code

Security Observability integrates operational observability concepts to provide a comprehensive understanding of risks and incidents, moving beyond the traditional focus on notable events. This approach is closely linked with "Detection as Code," which treats security operations rules as software development problems. Historically, security detection involved manually inputting rules into systems, a process that evolved with the introduction of source code control systems and automated scripts. The current landscape, influenced by Infrastructure as Code, encourages modular, version-controlled security rule management that can be shared across platforms. However, challenges remain, particularly in cross-vendor and cross-tool integration, where shared content and consistent performance are hard to achieve. Metrics tracking and CI/CD pipelines can enhance the efficacy of Detection as Code, although their application often requires human intervention. AI and cognitive computing offer promising advancements in translating security rules between languages and improving anomaly detection. While Detection as Code has the potential to shift the economics of enterprise SIEM, its success may depend on fostering collaboration across IT teams and utilizing shared languages for security actions.

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