Are Detection-as-Code Pipelines Overrated?

📰 Medium · Cybersecurity

Learn to evaluate the effectiveness of Detection-as-Code pipelines in cybersecurity and consider alternative approaches to improve detection logic management

intermediate Published 19 Apr 2026

Action Steps

Assess your current detection logic management process
Evaluate the benefits and limitations of Detection-as-Code pipelines
Consider implementing a centralized version control system for detection rules
Develop a peer review process for detection logic
Implement programmatic enforcement of standards for consistent output

Who Needs to Know This

Cybersecurity teams and professionals can benefit from this article to reassess their detection strategies and improve their overall security posture

Key Insight

💡 Detection-as-Code pipelines may not be the most effective approach for every organization, and alternative methods can improve detection logic management and overall security posture

Key Takeaways

Learn to evaluate the effectiveness of Detection-as-Code pipelines in cybersecurity and consider alternative approaches to improve detection logic management

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Title: Are Detection-as-Code Pipelines Overrated?

URL Source: https://medium.com/@harrisonpomeroy/are-detection-as-code-pipelines-overrated-2fe21f80f269?source=rss------cybersecurity-5

Published Time: 2026-04-19T00:04:58Z

Markdown Content:
# Are Detection-as-Code Pipelines Overrated? | by Harrison Pomeroy | Apr, 2026 | Medium

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# Are Detection-as-Code Pipelines Overrated?

## As agentic capabilities continue to improve, are traditional Detection-as-Code pipelines becoming overrated?

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Over the last couple of years, I’ve been working to pull detection logic out of siloed platforms and into version control. Rather than having rules scattered across a SIEM, EDR, and everything in between, the goal was to centralize and manage them in one place.

I wanted detections to be standardized, with meaningful metadata and tagging, along with clear use-case documentation such as the Alerting & Detection Strategy Framework (ADS) for every single detection we maintain.

I also wanted peer review of detection logic and programmatic enforcement of standards so output is consistent, predictable, and higher quality for analysts. Eventually, extending to validation testing using adversary emulation (think Atomic Red Team or TTPForge).

All of these are reasonable goal

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Are Detection-as-Code Pipelines Overrated?

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