Cloud Security and Artificial Intelligence

Le résumé fourni par la source

The developing dependence of undertakings on cloud administrations for computing, capacity, and applications highlights the basic need for solid security conventions in cloud situations. In order to strengthen computerized frameworks against ever-evolving cyber threats, this chapter investigates into the interconnected connect between cloud security and artificial intelligence (AI). This chapter lays out the fundamental thoughts of cloud computing and the numerous issues that emerge from security imperfections in cloud situations. It explores the progressive potential of AI-driven strategies for improving cloud security position, counting threat prevention, detection, and response systems, etc. Associations may proactively distinguish abnormalities, diminish risks, and strengthen protections against undesirable interruptions by using AI strategies, such as machine learning and natural language processing. In addition, this chapter clarifies the practical application of AI-driven security solutions across a variety of cloud deployment patterns, such as private, public, and hybrid clouds. It makes its way through case studies and actual situations to demonstrate how AI may be used to improve regulatory compliance in cloud infrastructures, automate incident response, and augment threat intelligence. In a period of increased cyber risks and technology conflict, organizations may strengthen their digital resilience and set them up for sustainable success by collaborating on innovative ideas and making strategic investments in AI-driven security technology.

Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.