# CyberSentinel: An Emergent Threat Detection System for AI Security

**Authors:** Krti Tallam  
**arXiv:** [2502.14966](https://arxiv.org/abs/2502.14966)  
**Date:** 2025-02-20  
**Summary page:** https://www.summarizepaper.com/fr/paper/2502.14966v1/

## Abstract

The rapid advancement of artificial intelligence (AI) has significantly expanded the attack surface for AI-driven cybersecurity threats, necessitating adaptive defense strategies. This paper introduces CyberSentinel, a unified, single-agent system for emergent threat detection, designed to identify and mitigate novel security risks in real time. CyberSentinel integrates: (1) Brute-force attack detection through SSH log analysis, (2) Phishing threat assessment using domain blacklists and heuristic URL scoring, and (3) Emergent threat detection via machine learning-based anomaly detection. By continuously adapting to evolving adversarial tactics, CyberSentinel strengthens proactive cybersecurity defense, addressing critical vulnerabilities in AI security.