Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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MITRE Techniques
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Detects sustained, statistically significant degradation in AI model performance (confidence and accuracy) and anomalous drift scores associated with specific callers or input sources. This behavior suggests a targeted attempt to erode model integrity through adversarial inputs rather than organic data drift.
