Author

Alsharif Abuadbba

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Preprint Sep 2026

Continuous Assurance of Agentic Security Auditors for Software Delivery Decision Gates

Large language model (LLM)-based repository auditors are increasingly deployed as security controls within continuous integration (CI) pipelines, where their findings admit, block, or delay software changes. As Agentic Software Development Life Cycle (SDLC) Security Controls, their non-deterministic behaviour changes t...

Guy Lupo, Nguyen Hung Nguyen, V. Vo et al. · 0 citations

#artificial intelligence Review Sep 2026

Connecting the Dots in Agentic AI Security: A Cross-Dimensional Threat Taxonomy, Evaluation Maturity, and Open Challenges

Agentic AI extends LLM security beyond generated content to persistent state, autonomous actions, tool use, and interactions with humans and other agents. Existing threat classifications often emphasize individual dimensions, obscuring connections among entry points, affected components, and security consequences. The...

Heewon Baek, Alsharif Abuadbba, Kristen Moore et al. · 0 citations

Review Sep 2026

Shifting from Injection to Interaction: Rethinking Web Security in the Age of LLMs and Beyond

This survey provides a unified analysis of how LLMs amplify web vulnerabilities across client-side, server-side, and pipeline layers while evaluating defenses and their limitations, and outlines future directions for secure AI-enabled web systems.

Nivedita Singh, Alsharif Abuadbba, Yan-Song Gao et al. · 1 citation

#artificial intelligence Preprint Sep 2026

Shadow Queries for Private Retrieval in Vector Databases

SHAQ (shadow query generation), a semantic-decomposition and embedding-decoupling defense against EIAs, is proposed, which uses a generative language model to create diverse shadow queries that capture different semantic aspects of each document.

Xinguo Feng, Zhongkui Ma, Zi-Han Wang et al. · 0 citations

Preprint Aug 2026

GraftyVul: Synthesising Insecure Programs Through Real-World Vulnerability Grafting

This work presents GraftyVul, a system that constructs vulnerable programs by grafting real-world vulnerabilities into open-source projects, and introduces a language- and context-agnostic semantic embedding that compares vulnerabilities by sink, mechanism and host-feature rather than surface code.

Omri Ram, Mitchell Horner, R. van der Meyden et al. · 0 citations

#natural language process... Preprint Aug 2026

DisCTI: Who Needs to Know Timely? Automated Sector-Aware Cyber Threat Intelligence Dissemination

This work forms sector-targeted CTI dissemination as a multilabel classification problem, leveraging deep field knowledge of CTI structures and sector-specific threat patterns, and applies BERT, a transformer-based model, to automate the mapping of CTI events to sectors.

Fajar Wijitrisnanto, A. Abuadbba, Yan-Song Gao et al. · 0 citations

Preprint Jul 2026

Understanding the Impact of AI Code Assistants on Security API Usage: An Empirical Study

It is found that developers rarely raised security concerns when engaging with Copilot, and many did not recognize that their final implementations remained insecure, so future research directions to support safer AI-assisted software development are proposed.

Zahra Mousavi, Chadni Islam, M. A. Babar et al. · 0 citations