A Cybersecurity Risk Analysis Framework for Systems with Artificial Intelligence Components
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Abstract (arXiv)
The introduction of the European Union Artificial Intelligence Act, the NIST Artificial Intelligence Risk Management Framework, and related norms demands a better understanding and implementation of novel risk analysis approaches to evaluate systems with Artificial Intelligence components. This paper provides a cybersecurity risk analysis framework that can help assessing such systems. We use an illustrative example concerning automated driving systems.
Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). First posted on arXiv 3 Jan 2024.
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Citing papers per year: 2025: 1; 2026: 2.
3 papers.
- 2026Reward Hacking and Agent Containment Failure: A Monte Carlo Study Based on the 2026 Hugging Face Incidentcited by 1
- 2025Standardized Threat Taxonomy for AI Security, Governance, and Regulatory Compliancecited by 0
- 2026A Knowledge-Based Multi-Agent Framework for Security Control Recommendationcited by 0
- 2026Reward Hacking and Agent Containment Failure: A Monte Carlo Study Based on the 2026 Hugging Face Incident26 Sep 2026
- 2026A Knowledge-Based Multi-Agent Framework for Security Control Recommendation10 Jul 2026
- 2025Standardized Threat Taxonomy for AI Security, Governance, and Regulatory Compliance26 Nov 2025