Explainable AI-Driven Cyber Risk Analytics and Model Reliability Assessment for Intelligent Governance of U.S. Critical Infrastructure: An XGBoost and SHAP-Based Intrusion Detection Framework
arXiv:2606.05710v1 Announce Type: cross Abstract: The increasing penetrations of the critical infrastructure sector in the United States with intelligent digital technologies have greatly increased exposure to advanced cyber adversaries and operational vulnerabilities. AI-powered governance and automated decision-making systems are becoming a key part of the operation of critical infrastructure systems, including energy, healthcare, transportation, financial services, and communication infrastructure, in order to improve efficiency and strategic management. The growing cyber threat environment
The increasing digitalization of critical infrastructure, coupled with an escalating cyber threat landscape, makes robust AI-driven security solutions a pressing need, especially as AI itself becomes more integrated into operational systems.
This development highlights the dual role of AI in both creating new vulnerabilities and providing sophisticated solutions for cybersecurity within essential national systems, impacting national security and economic stability.
The explicit focus on explainable AI (XAI) and model reliability assessments signifies a move towards more trustworthy and auditable autonomous decision-making in critical infrastructure governance, shifting from black-box AI approaches.
- · Cybersecurity vendors specializing in AI/ML
- · U.S. critical infrastructure operators
- · National security agencies
- · AI/ML research community
- · Cyber adversaries targeting critical infrastructure
- · Organizations with legacy cybersecurity systems
- · AI solutions lacking explainability and reliability features
Increased resilience and reduced attack surface for U.S. critical infrastructure sectors through advanced, AI-driven threat detection.
Accelerated investment and policy development around AI ethics, explainability, and governance standards for national security applications.
A potential arms race in AI-powered cybersecurity, with adversaries also leveraging advanced AI for offensive operations, leading to dynamic and complex cyber warfare.
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Read at arXiv cs.AI