A minimalist, zero-overhead security audit engine built on Vectorized Quantum Features. While the industry burns billions on massive models, Axiom-Q achieves superior precision with a model small enough to fit in a CPU's L1 cache.
- SOTA Evolution: Derived from the research behind Planck-99.
- Minimalist Architecture: Designed out of boredom, optimized for raw execution speed.
- The 1KB Milestone: The logic is compressed into a C-header that is literally smaller than a standard icon.
_production.pkl 4.5 Kb
_production.h 915 B (Yes, bytes. Read that again.)
View First Pilot Results (Under-Dev)
Testing sequence count: 51x training sequence length.
| Confusion Matrix | ROC Curve |
|---|---|
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| Latency Distribution | Score Distribution |
|---|---|
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➜ Axiom-Qsecurity python benchmark.py --csv ../Planck-99/someDEV/IoTsyscalls.csv --load-model _production.pkl
+==============================================================================+
| AXIOM-QUANTUM v3.1 | Security Audit Engine [QSVM + C ENGINE] |
| Vectorized Quantum Features | LinearSVC | ~100% Precision | Fast path |
+==============================================================================+
Loading: ../Planck-99/someDEV/IoTsyscalls.csv
Loaded 1504 records (1266 malware, 238 benign)
Loading pre-trained model: _production.pkl
Model OK | acc=0.9595 prec=0.9707 mode=fast
+-- Compiling C Engine -------
Compiling C engine from model ...
[C Engine] Generating C source ...
[C Engine] Source written: axiom_engine.c (17,056 chars)
[C Engine] Compiled in 14167 ms -> axiom_engine.so
[C Engine] Shared library loaded
C engine ready in 15064 ms
+-- Batch Inference (1504 records) -------
Batch inference (1504 records) ...
Done: 453.6 ms | 55.060 us/rec | 3,315 rec/s
+-- C Demo ---------------------------------------------------
[BENIGN ] features=[REDACTED]
AXIOM-QUANTUM v3.1 C Inference Engine
Decision : BENIGN
SVM Score : -11.504249
Latency : 975500 ns (975.500 us)
[MALWARE ] features=[REDACTED]
AXIOM-QUANTUM v3.1 C Inference Engine
Decision : ANOMALOUS (MALWARE)
SVM Score : +32.211083
Latency : 129500 ns (129.500 us)
+--------------------------------------------------------------
==================================================================================
AXIOM-QUANTUM v3.1 | run_20260416_004103
==================================================================================
Metric Value Metric Value
..................................................................................
Total Records 1504 True Positives 1265
Malware in dataset 1266 False Positives 54
Benign in dataset 238 True Negatives 184
False Negatives 1
..................................................................................
CV Accuracy 0.9631 Accuracy 0.9634
CV Precision 0.9686 Precision 0.9591
CV Recall 0.9578 Recall 0.9992
CV F1 0.9632 F1-Score 0.9787
..................................................................................
Mean Latency 55.060 us Throughput 3,315 rec/s
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