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.

翻译：人工智能（AI）的快速发展显著扩大了AI驱动的网络安全威胁的攻击面，从而需要适应性防御策略。本文介绍了CyberSentinel，一个用于新兴威胁检测的统一单智能体系统，旨在实时识别和缓解新型安全风险。CyberSentinel整合了：（1）通过SSH日志分析实现的暴力攻击检测，（2）利用域名黑名单和启发式URL评分进行的钓鱼威胁评估，以及（3）通过基于机器学习的异常检测实现的新兴威胁发现。通过持续适应不断演变的对抗策略，CyberSentinel增强了主动网络安全防御能力，解决了AI安全中的关键漏洞。