Quantum-Inspired, Self-Healing Artificial Intelligence: A Dynamic Framework for Encrypted Cybersecurity Defense
Document Type
Conference Proceeding
Publication Date
4-2025
Abstract
This conceptual research introduces a quantum-inspired, self-healing artificial intelligence (AI) framework to revolutionize modern cybersecurity. The proposed system dynamically alters encryption protocols and autonomously patches vulnerabilities in real-time based on continuous threat analysis. Unlike static Artificial Intelligent (AI) systems or fixed Advanced Encryption Standard (AES)-256 encryption, this model adapts encryption strength and structure by mimicking quantum randomness, unpredictability, and quick key rotation. This would help prevent attackers from penetrating environments at a faster, more persistent rate than the current landscape. With the ability to detect, defend, and heal itself without manual input, the framework presents a resilient and proactive defense strategy. Though implementing such a system may require infrastructure shifts and additional overhead, the long-term benefits of reduced breaches, stronger adaptability, and forward compatibility make it a compelling innovation. This idea opens the door to redefining how we protect sensitive data in an era of rising cyber threats and quantum computing risks.
Recommended Citation
Williams, Marie, "Quantum-Inspired, Self-Healing Artificial Intelligence: A Dynamic Framework for Encrypted Cybersecurity Defense" (2025). Student Research Symposium 2025. 53.
https://digitalcommons.tamusa.edu/srs_2025/53
Comments
Poster Session 2
5:30-7:00 p.m.
BLH Lobby