Zapier reports that AI security is crucial as AI usage grows, presenting risks like data breaches and adversarial attacks ...

AI advanced—but only where structure existed. In 2025, AI delivered measurable value in defined use cases such as document review, anomaly detection, continuous monitoring, and third-party risk ...

Published as an arXiv preprint, the paper details how unsupervised and self-supervised AI models are matching or surpassing ...

Fierrazo: Magnetite-rich skarn body extending approximately 700 metres (“m”) under cover, with only approximately 200 m ...

src/ # Core system ├── monitoring/ # Resource collection ├── preprocessing/ # Data cleaning & feature engineering ├── anomaly_detection/ # ML model (Isolation Forest) ├── adaptive_engine/ # Decision ...

Cloud infrastructure anomalies cause significant downtime and financial losses (estimated at $2.5 M/hour for major services). Traditional anomaly detection methods fail to capture complex dependencies ...

Abstract: With the rapid development of the Internet, various types of anomaly traffic are threatening network security. However, the difficulty of collecting and labelling anomalous traffic is a ...

Abstract: Weakly supervised video anomaly detection has gained attention for its effective performance and cost-efficient annotation, using video-level labels to distinguish between normal and ...