Evaluating AI Risk and Governance in Generative AI Systems: A Prompt-Level Analysis

Abstract

Generative Artificial Intelligence systems—particularly those built on Large Language Models (LLMs)—have become central to modern enterprise computing, yet they carry with them a class of vulnerabilities that traditional cybersecurity models were never designed to address. Decoder-only transformer architectures process system instructions and untrusted user inputs as a single undifferentiated sequence of tokens, which makes them susceptible to direct and indirect prompt injections, jailb

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@misc{farooqi2026evaluating,
  title = {{Evaluating AI Risk and Governance in Generative AI Systems: A Prompt-Level Analysis}},
  author = {Dr. Abdul Majid Farooqi Dr. Abdul Majid Farooqi and Ziya Anjum Ziya Anjum},
  year = {2026},
  month = jul,
  doi = {10.55041/isjem08122},
  url = {https://doi.org/10.55041/isjem08122}
}