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paperJanuary 2026Unreviewed

SecureCAI: Injection-Resilient LLM Assistants for Cybersecurity Operations

Mohammed Himayath Ali, Mohammed Aqib Abdullah, Mohammed Mudassir Uddin, S. Alam

arXiv.org

Abstract

Large Language Models have emerged as transformative tools for Security Operations Centers, enabling automated log analysis, phishing triage, and malware explanation; however, deployment in adversarial cybersecurity environments exposes critical vulnerabilities to prompt injection attacks where malicious instructions embedded in security artifacts manipulate model behavior. This paper introduces SecureCAI, a novel defense framework extending Constitutional AI principles with security-aware guard

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Framework mappings

MITRE ATLAS
  • AML.T0051LLM Prompt Injection

Suggested from the entry's categories.

Cite

@misc{ali2026securecai,
  title = {{SecureCAI: Injection-Resilient LLM Assistants for Cybersecurity Operations}},
  author = {Mohammed Himayath Ali and Mohammed Aqib Abdullah and Mohammed Mudassir Uddin and S. Alam},
  year = {2026},
  month = jan,
  eprint = {2601.07835},
  archivePrefix = {arXiv},
  doi = {10.48550/arXiv.2601.07835},
  url = {https://www.semanticscholar.org/paper/3d16be498e90f357318f27bf8c476567a51d4e47}
}