Behavior-Aware Cybersecurity: Integrating Trust Scores with Least Privilege via Game Theory

Dynamic computing environments question the validity of classical security institutions, especially the Principle of Least Privilege (PoLP), where predefined roles and behavior patterns are expected.These constraints prevent the system from customizing access rights per user context or dynamic trustworthiness, which usually leads to over-privileged or under-privileged access.In order to curtail this, a behavior-aware hybrid model that combines Game Theory with PoLP is introduced to allow for adaptive access control based on strategic play.The framework can make fine-grained privilege adjustments in real-time by modelling the user-system interactions as a repeated game and the dynamic assignment of trust scores based on observed behavior.Our method motivates compliant actions while discouraging harmful ones using thoughtful access reconfiguration.Some of the significant contributions are developing a trust score mechanism associated with privilege management, designing a game-theoretic engine to review user actions, and combining behavioral analytics with role-based controls.This model compromises between security and usability, providing scalable, context-aware solutions to rigid access policies.The proposed system can help push the boundaries of cyber security and pave the way for proactive, trust-aware access decisions that are especially critical in decentralized, cloud-based, and zero-trust architectures.These results provide new avenues for creating an intelligent and responsive security system consistent with the user intent and the system's integrity.