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Found 16 Skills
Real-time monitoring and detection of adversarial attacks and model drift in production
Run forensic ratio and trend checks from SEC filing data to validate or challenge Shenanigans hypotheses. Use when users ask for quantitative red-flag checks, earnings quality diagnostics, or quarter-over-quarter anomaly detection.
Detect anomalies in data using statistical and ML methods. Z-score, IQR, Isolation Forest, and time-series anomalies.
Analyzes system and application logs to detect anomalies and security threats in blue-team operations.