ARTIFICIAL INTELLIGENCE IN CYBERSECURITY: OPPORTUNITIES, RISKS, AND RESPONSIBLE IMPLEMENTATION
Аннотация
This article examines the dual role of artificial intelligence in cybersecurity. AI can help security teams analyze large event streams, detect suspicious behavior, prioritize vulnerabilities, and respond to incidents more quickly. At the same time, AI systems create new risks involving poisoned data, adversarial inputs, model theft, privacy leakage, prompt injection, and unsafe automation. The paper proposes a responsible implementation model that combines secure data, validated models, human oversight, continuous monitoring, and measurable governance.
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Autio, C., Schwartz, R., Dunietz, J., Jain, S., Stanley, M., Tabassi, E., Hall, P., & Roberts, K. (2024). Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile. NIST AI 600-1. https://doi.org/10.6028/NIST.AI.600-1
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