VulnSage leverages large language models to detect software vulnerabilities without prior training on specific vulnerability types, addressing limitations in current evaluation methodologies.

• Introduces context-aware robustness to better capture real-world complexities and cross-component interactions
• Provides a comprehensive evaluation framework specifically designed for security vulnerability detection
• Demonstrates how LLMs can reason about code security without specialized training
• Enhances practical security assessment capabilities for modern software systems

This research significantly advances automated security testing by enabling more thorough and adaptive vulnerability detection in increasingly complex software landscapes, potentially reducing security risks before deployment.

Reasoning with LLMs for Zero-Shot Vulnerability Detection