Because a GitHub repo with KQL isn't a detection program.
Another threat report hits your inbox. New persistence technique. Your coverage: zero.
So you start the cycle again:
Scattered blog posts. Outdated threat intel. That one Microsoft doc from 2022 that's mostly still accurate.
Writing KQL from scratch. No template. No validation. No blueprint. Just you and a blinking cursor.
In production. Because there's no lab. Because there's never a lab.
False positives flood the queue. Your analysts are drowning. You're back in the code.
If there's time. There's never time.
15 to 30 hours. Per detection.
And while you're still researching, the attacker is already inside.
Your coverage sits at 40%. You know this. Leadership knows this. The auditors definitely know this.
But here's what really hurts:
When something slips through (and something always slips through) your name is on the incident report.
Not the vendor's. Not the blogger's whose half-finished KQL you adapted. Yours.
Not a blog post with pseudocode. Not a conference talk with "left as an exercise for the reader."
A complete detection playbook:
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Service Principal Credential Addition Detection:
The persistence technique most teams miss.
Building this yourself: 15-30 hours
Hiring a contractor: $3,000+
This playbook: $49
A new detection playbook every month built around the threats that matter most in Azure environments. Founding members get priority input on the roadmap.
This isn't a content subscription. It's your detection gap closing every month.
✔ November 2025: Service Principal Credential Addition Detection
✔ December 2025: Malicious App Registration Detection
✔ January 2026: Illicit OAuth Consent Grant Detection
→ February 2026: [Shaped by founding members]
→ March 2026: [Shaped by founding members]
→ April 2026: [Shaped by founding members]
I wrote the Cloud Threat Hunting Field Manual: Azure and the Azure Cloud Defense Field Manual—350+ pages of detection engineering, incident response, and MITRE ATT&CK mappings.
I've validated, tuned, and fixed hundreds of detections in financial services environments. I know what survives production, what drowns teams in false positives, and what actually catches threats.
No theory. No blog post speculation.
Just detections that work, documented so you can deploy them today.
"An awesome lab environment to level up threat detection and incident response skills."
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"What Charles is putting together is the 'rubber meets the road' part of security that is very important (and often overlooked)."
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Markdown. Easy to reference, easy to adapt, easy to drop into your documentation.
Founding members shape what gets built. If you're seeing a threat, tell me. I'll build the detection.
One playbook from a contractor: $3,000+
One playbook built yourself: 15-30 hours
This: $150/month. New playbook on the 1st.
Day you join, then every 30 days. You get immediate access to the full playbook library.
Price goes to $200/month. You can still request coverage, but founding members get priority.
Start here: Get a playbook for $49 and see what production-ready looks like.
Already convinced? Lock in founding member pricing before spots fill.