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Darlan Noetzold, Anubis Graciela de Moraes Rossetto, de Paz Santana, Juan Francisco & Valderi Leithardt (2026). A microservices-based endpoint monitoring platform with predictive NLP models for real-time security and hate-speech risk alerting. arXiv.

D. Noetzold et al.,  "A microservices-based endpoint monitoring platform with predictive NLP models for real-time security and hate-speech risk alerting", in arXiv, 2026

@null{noetzold2026_1779059376306,
	year = "2026",
	url = "https://arxiv.org/abs/2605.11997"
}

TY  - GEN
TI  - A microservices-based endpoint monitoring platform with predictive NLP models for real-time security and hate-speech risk alerting
T2  - arXiv
AU  - Darlan Noetzold
AU  - Anubis Graciela de Moraes Rossetto
AU  - de Paz Santana, Juan Francisco
AU  - Valderi Leithardt
PY  - 2026
DO  - 10.48550/arXiv.2605.11997
UR  - https://arxiv.org/abs/2605.11997
AB  - Organizations increasingly depend on endpoint devices and corporate communication channels, yet they still face critical risks such as sensitive data leakage, suspicious user behavior, and the circulation of hateful or harmful language in workplace contexts. Current solutions frequently address these issues in isolation (e.g., productivity tracking, data loss prevention, or hate-speech detection), limiting correlation across signals and delaying incident response. This work proposes a unified, microservices-based platform that collects endpoint telemetry and applies predictive natural language processing models to support real-time security and compliance alerting. The architecture is modular and scalable, relying on RabbitMQ for event ingestion and routing and Redis for low-latency data access and alert delivery. For text classification, transformer-based models such as BERT are evaluated for hate-speech risk detection, achieving an average accuracy of 87\%. Experimental results indicate that the proposed platform can promptly surface indicators of data exfiltration and policy violations while centralizing alert management, providing an integrated framework that combines monitoring, security analytics, and predictive capabilities.
ER  -