AI-Enhanced Vulnerability Operations

Counts differ because each database indexes a different set of publications. We treat OpenAlex as the canonical count; Google Scholar is not shown (no API, and crawling it violates its ToS).

Designed and developed an AI-enhanced vulnerability operations system for contextual vulnerability triage, prioritization, and response. The solution uses a locally deployed NLP model on NVIDIA A100 infrastructure to analyze CVEs, scanner findings, and security advisories, correlate vulnerabilities with MITRE ATT&CK, identify potential exploitation paths, and generate contextual remediation guidance.The prioritization model extends beyond static CVSS scoring by incorporating exploitability, exposure, asset criticality, and business impact while keeping sensitive vulnerability data within the local environment.