Abstract
<jats:p>The multiplication of digital infrastructures and cloud services and of cyber-physical systems connected with each other has resulted in the significant growth of cybersecurity challenges. Traditional security mechanisms are usually not qualified to process large quantities of security data and identify complex cyber threats in real-time. The combination of artificial intelligence (AI), parallel computing, and blockchain technologies show a promising way forward on creating secure, scalable and resilient cybersecurity frameworks for distributed digital infrastructures. This Chapter puts forth a conceptual framework that incorporates parallel computing architectures and block-chain enabled security mechanisms in order to increase the efficiency and trustworthiness of AI-enabled Cybersecurity systems. Parallel computing helps high-performance processing of big amounts of network traffic and security logs, so that AI models can perform better analysis of picker threat patterns and find out anomalies more efficiently.</jats:p>