Everyone's Building Detections. No One Checking if the Data Behind Them is Even Usable.

We obsess over rules, SIEMs, and analytics while quietly ignoring the integrity of the data pipeline underneath it all.

👇 Here’s why your detection stack is only as smart as your pipeline and why that should scare you more than it does:

We keep tuning detection rules, scaling SIEMs, and obsessing over threat models while ignoring the quality, completeness, and timing of the data that feeds them.It’s not your detection logic that’s broken. It’s your pipeline.

You Don’t Need Smarter Detections. You Need Better Data.

Security teams spend months fine-tuning rules and aligning with MITRE ATT&CK. But most missed alerts don’t happen because the logic was wrong - they happen because the data was incomplete, delayed, or malformed.

• A missing field breaks correlation.
• A log arrives 20 minutes late.
• A critical event is stripped of context.
• A misclassified source goes unparsed and ignored.

These are pipeline problems, not detection problems. And the industry is barely talking about them.

Next week, we’ll unpack what your pipeline should be doing, and why it’s the reason your smartest detections are still failing.