The regulatory environment across the world is becoming increasingly stringent day by day. It is expanding across several business sectors, and the technology sector is not far behind. Cloud computing and artificial intelligence (AI) have been at the center stage without a doubt. While both technologies have brought about immense abundance, the industry is grappling with increasing pressure to comply with complex laws and regulatory frameworks such as GDPR, HIPAA, SOC 2, and industry-specific standards. Work on traditional compliance approaches focuses mainly on manual audits, static policies, and periodic reviews. This needs to be rethought, as these approaches need to keep pace with the speed and scale of modern cloud environments. 

In this context, AI becomes a powerful tool to manage cloud compliance. AI can assist across a broad scope of use cases — from machine learning and predictive analytics to intelligent automation — the range is endless. Beyond routine automation of day-to-day tasks, AI can enable teams to not only anticipate risks and optimize governance strategies but also maintain proactive compliance across hybrid and multi-cloud infrastructures. In this article, let’s understand the different ways in which AI is redefining cloud compliance, which helps organizations achieve proactive and intelligent governance.