CyberSentinel: An Emergent Threat Detection System for AI Security
Fuente:
arXiv
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866915164402483200 |
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| author | Tallam, Krti |
| author_facet | Tallam, Krti |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2502_14966 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | CyberSentinel: An Emergent Threat Detection System for AI Security Tallam, Krti Cryptography and Security Artificial Intelligence 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. |
| title | CyberSentinel: An Emergent Threat Detection System for AI Security |
| topic | Cryptography and Security Artificial Intelligence |
| url | https://arxiv.org/abs/2502.14966 |