Exacerbating the problem is the skills shortage in the tech industry? cloud specialists who must have expertise not only in security but in cloud and compliance as well. Multi-cloud environments can get especially confusing because there are often no systems in place to monitor data infrastructure across multiple cloud entities.
AI can help to wrangle all of that by leveraging
The data about the data. For every file? there’s also information on its size? when it was created? where it lives? etc. AI can scan and aggregate this metadata from different sources to highlight anomalies and identify trends? creating reports on where all data is stored and where companies may be wasting their money. For example? identifying when an organization is unnecessarily storing data in the cloud and paying excess ingress and egress fees. AI discovers and studies these kinds of patterns better than enterprises have been able to do previously.
Businesses can use this information to analyze cloud performance and find opportunities to reduce redundancies. In the end? it will arm IT decision-makers with the information they need to make smarter choices about how and when they use the cloud.
The Role of Hybrid Cloud
Using AI? organizations will be able to answer the three most important questions related to their data security posture: where is my data? how much is it costing me to store? and how am I going to recover in the event of a cyberattack or outage. Traditional methods of data mapping are often error-prone? time-consuming? and ultimately can’t keep pace with complex cloud environments. Leveraging AI? organizations can automatically scan data across diverse storage locations – regardless of working in the cloud or on-premises. At the same time? AI can quickly analyze past storage usage and predict future needs? cutting out unnecessary costs to optimize storage allocation while also analyzing historical backup and disaster recovery plans and predicting potential future threats.