Multi-Cloud Blockchain Application Trust with AI-Powered Security Analytics
Keywords:
AI, blockchain, security analytics, multi-cloudAbstract
Multi-cloud and blockchain integration presents security and trust challenges. AI-automated security analytics is innovative. AI-powered security solutions' intelligent monitoring, anomaly detection, and automated attack response make cloud blockchain applications more reliable. AI security for multi-cloud blockchains is examined in the article. We study real-time monitoring, predictive threat detection, and vulnerability management in multi-cloud systems utilizing blockchain platforms and AI models including machine learning and deep learning. AI-based blockchain security analytics case studies. Scalability, data security, and cyberattacks are issues and trends.
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