A Unified Framework Approach for Automated Vulnerability Assessment

Kamatchy, B and N, Kalaichelvi (2025) A Unified Framework Approach for Automated Vulnerability Assessment. In: NextGen Computing and Future Technologies.

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Abstract

The rapid growth of cyber security threats has made vulnerability assessment crucial for
organizational defense strategies. Conventional methods rely on running separate scanners individually
and manually linking their results. This approach is becoming less efficient, uses more resources, and is
more likely to involve human error. These issues not only slow down the assessment process but also
increase the chance of overlooking important vulnerabilities. To address these challenges, this paper
introduces a unified framework for automated vulnerability assessment. The framework combines several
widely used security scanners into one automated system that handles tool execution, brings together
results, and smartly connects findings. This unified process cuts down on redundancy, improves detection
accuracy, reduces false positives, and ensures that even subtle or less obvious vulnerabilities are found
and prioritized. By automating the entire workflow, the framework significantly reduces assessment time.
This allows cyber security professionals to focus on remediation, incident response, and strategic defense.
In the end, this approach improves efficiency, consistency, and resilience in vulnerability management,
giving organizations a stronger defense against changing cyber threats.

Item Type: Conference or Workshop Item (Paper)
Subjects: Computer Applications > Artificial Intelligence
Domains: Computer Science
Depositing User: Mr IR Admin
Date Deposited: 07 May 2026 15:44
Last Modified: 10 May 2026 09:20
URI: https://ir.vistas.ac.in/id/eprint/13992

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