Cloud services, predominantly AWS, Azure, and GCP, have become indispensable for modern enterprises. The multi-cloud strategy allows businesses to mitigate risks associated with relying on a single provider, such as outages or price changes. However, the rapid adoption of this approach has outpaced governance capabilities in organizations, leading to challenges in identity and access management, compliance, and cost management. The complexity of managing connections, risks of ‘ghost accounts’, and the need to comply with multiple data regulations create a Pandora’s box of governance difficulties.
As global data regulations like GDPR and CLOUD Act push companies towards multi-cloud systems, they face the challenge of navigating distinct compliance requirements across jurisdictions. Integrating AI into multi-cloud environments adds another layer of complexity, complicating audit trails due to the interactions between various clouds. This governance difficulty is especially pronounced in industries like finance, manufacturing, and the public sector, where regulatory compliance, transparency, and real-time responsiveness are critical. Companies must develop effective governance frameworks that can manage this complexity to maintain competitive advantages in the evolving digital landscape.
👉 Pročitaj original: CIO Magazine
