🤖 AI Summary
Existing vulnerability management approaches lack systematic reasoning capabilities for the vulnerability posture during system design, hindering proactive security control design. This paper introduces the first automated vulnerability reasoning mechanism tailored for the design phase, leveraging formal modeling and automated reasoning to support end-to-end vulnerability identification, mitigation option generation, and security control specification. The mechanism is deeply integrated into an open-source security design tool and validated in real-world industrial settings: it accurately identifies applicable vulnerabilities and significantly improves both the accuracy and efficiency of security control design, thereby shifting vulnerability management from reactive response to design-driven assurance. Its core contribution lies in establishing verifiable, formal relationships among design artifacts, vulnerabilities, and security controls—addressing a critical gap in automation-enabled security left-shifting.
📝 Abstract
For securing systems, it is essential to manage their vulnerability posture and design appropriate security controls. Vulnerability management allows to proactively address vulnerabilities by incorporating pertinent security controls into systems designs. Current vulnerability management approaches do not support systematic reasoning about the vulnerability postures of systems designs. To effectively manage vulnerabilities and design security controls, we propose a formally grounded automated reasoning mechanism. We integrate the mechanism into an open-source security design tool and demonstrate its application through an illustrative example driven by real-world challenges. The automated reasoning mechanism allows system designers to identify vulnerabilities that are applicable to a specific system design, explicitly specify vulnerability mitigation options, declare selected controls, and thus systematically manage vulnerability postures.