Is Cloud Computing Secure or Not?

What is a cloud-based system?

A cloud-based system is often known as cloud computing and is a broad word for anything involving the delivery of hosted services through the internet.

Whether the public cloud is more or less secure appears to be a point of contention in businesses. There are several cases where moving an application to the cloud and standardized and extensive monitoring and support may make that application fundamentally more secure than previously. This is because a cloud provider is likely to have rigorous standards and processes in place and a talent pool capable of providing high-level security. However, there are many instances when IT teams want to preserve their security on-premises for specific crown-jewel datasets such as business intelligence and client information. This implies they'll be able to fulfill their own (or mandated) stricter and more detailed security criteria while avoiding new security concerns.

Insights from industry reports of 3500 clients and 500 breaches highlight what sets secure companies apart from others. These reports' valuable lessons and foresight may be adaptable for responsible data stewardship as an IT manager.

On average, security breaches in public cloud-based services are 32 percent more expensive than breaches in hybrid cloud models. In addition, certain breaches are frequent in cloud computing settings, as is evident with the vector of initial attacks. Cloud misconfiguration and compromised credentials in public cloud-based services are the most common attacks.

These breaches take months to rectify like other data breaches. The longest identify-and-contain time for an attack vector is 341 days, nearly a whole calendar year. However, that is only 16 percent longer than the global average for all attack vectors, currently 287 days.

If you have a cloud environment and any of this is keeping you up at night, you'll want to solve it. Specific proprietary technology employs hardware-based security for in-use data to increase cloud-based datasets' privacy assurance and counteract exploited authentication. Addressing the issue of misconfigurations and compromised credentials are two key cloud security issues.

Data Security in Cloud Computing

How can you use this for your future plans? To reduce the cost and response time for data breaches in different types of cloud computing, consider these three expert techniques:

Take Expert Caution in the Event of Cloud Migration

The duration of the initial planning stage is essential, whether you are upgrading your computing architecture or launching a new mobile application via cloud migration. According to expert research, cloud migration is risky and a predisposing factor for cloud data breaches. A well-developed migration process for enterprises facilitates the identification and containment of data breaches in a shorter time window. Thus, if you intend to move to a cloud environment or are currently in the process, focusing more on new user registrations, the tools and techniques in use, and establishing a sound management approach is practical and necessary. For starters, the average enterprise employs between 26 and 32 different cloud security technologies and more does not always make the situation better. It could simply imply more management.

Security Automation for Greater Intelligence

In recent times, working remotely has resulted in increased automation. The shorter breach lifespan and a reduced average cost of data breaches were linked with the use of AI solutions and security automation. Intelligent automation applications link and operationalize disparate security solutions and feeds to give more research time to security analysts. Using intelligent automation and AI to automate the incident management process gives businesses insight into which warnings require rapid response. Teams can more reliably counter threats, decrease human inaccuracy, and reduce the meantime to recovery (MTTR) by centralizing communication and removing time-consuming administrative functions. This makes sense given the exponential growth of data and security endpoints and the increasing capability of algorithms to detect vulnerabilities that conventional threshold-based signaling systems may miss. The option of AI platforms factors into the considerations for cost mitigation. With an average cost difference of 1.49 million USD, whether or not to employ an AI platform is a significant influence on cost reduction.

Adopt a "Zero Trust" Framework to Your Cloud Stack

Confidential computing technologies eliminate the inexplicit trust that applications accord to cloud providers and entire software stacks, allowing you to incorporate security into every development cycle stage and optimize operations to help limit the impact and cost. The industry employs zero trust security frameworks to manage several domains, including the data, identity, and network. This is quickly becoming an industry best practice with the recent executive order from the US. The typical cloud team should be moving towards a position of technical assurance, away from the sole control of policy and operational guarantees.

Moving to a Cloud Environment without Sacrificing Security

Explore some of the most secure infrastructures for your enterprise, comprising servers with little or no history of data breaches year after year, as provided by the ITIC Global Hardware, Server Reliability and Security Report. The next step should be adopting a Zero Trust cloud computing security architecture.

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