Contextualization of Third-Party Cloud Security Findings

arXiv:2610.08895 · cs.CR, cs.AI · Submitted 2026-10-06 · Read on arXiv

cs.CR, cs.AI

Submitted: 2026-10-06

Updated: 2026-10-06

Code: https://github.com/prowler-cloud/prowler

Terminology

• Trace — 14× in this paper · explained in 2 episodes
• Verification — 4× in this paper · explained in 2 episodes
• Benchmark — 3× in this paper · explained in 2 episodes
• Common Vulnerability Scoring System — 3× in this paper
• LLM judge — 3× in this paper · explained in 2 episodes
• Analyzer — 2× in this paper · explained in 1 episode
• Forum of Incident Response and Security Teams — 2× in this paper
• National Institute of Standards and Technology — 2× in this paper
• Accuracy — 1× in this paper · explained in 1 episode
• Agentic AI — 1× in this paper · explained in 1 episode
• Amazon Web Services — 1× in this paper
• Benchmarking — 1× in this paper · explained in 3 episodes
• Common Vulnerabilities and Exposures — 1× in this paper
• Empirical Software Engineering and Measurement — 1× in this paper
• Graph Construction — 1× in this paper · explained in 3 episodes
• International Conference on Software Maintenance and Evolution — 1× in this paper
• Knowledge Graph — 1× in this paper · explained in 7 episodes
• Knowledge graphs — 1× in this paper · explained in 2 episodes
• Large Language Model (LLM) — 1× in this paper · explained in 3 episodes
• Ontology — 1× in this paper · explained in 2 episodes
• Pruning — 1× in this paper · explained in 4 episodes
• Stakeholder-Specific Vulnerability Categorization — 1× in this paper

Sources

• Adaptive Incident Prioritization for Security Operations at Scale
• Precision over Noise: Tailoring S3 Public Access Detection to Reduce False Positives in Cloud Security Platforms
• Reducing False Positives with Active Behavioral Analysis for Cloud Security
• Does Runtime Topology Context Improve LLM-Generated Kubernetes Security Patches?
• Coding Agents Aren't Enough! Evaluating an Enterprise Security Brain for Agentic Cloud Investigations
• AI Native Asset Intelligence
• A Non-Intrusive and Context-Based Vulnerability Scoring Framework for Cloud Services
• From Description to Score: Can LLMs Quantify Vulnerabilities?
• Prompting the Priorities: A First Look at Evaluating LLMs for Vulnerability Triage and Prioritization
• SastBench: A Benchmark for Testing Agentic SAST Triage
• JAF: Judge Agent Forest
• KubeGuard: LLM-Assisted Kubernetes Hardening via Configuration Files and Runtime Logs Analysis
• Deep Research Agents: A Systematic Examination And Roadmap
• ReAct: Synergizing Reasoning and Acting in Language Models
• FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation

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