My anomaly detector just scored a perfect 1.000 AUC. Caught every bad sample, zero false...
My anomaly detector just scored a perfect 1.000 AUC. Caught every bad sample, zero false positives.
Four months ago I'd never trained a model. So my first instinct wasn't to celebrate — it was: that's
too clean. What am I missing?
Turns out, everything.
The confound. My "bad" samples were trained differently from my "clean" ones — not just bad, but
My detector passed every synthetic test with zero false positives. Then I pointed it at one real...
I built an AI security benchmark this week. By the end of one night I had killed six of my own...
If you build anything that touches user generated text, sooner or later someone asks: can we just...
There is a number that haunts every fraud detection engineer: 0.13%. That is the fraud rate in the...
"Accuracy lied to you. Here's the complete toolkit—confusion matrix, precision, recall, F1, ROC/AUC,...
TL;DR: 95% of AML alerts are noise. We spent years assuming better detection models would fix that....
