How Automation Eliminates Security Risks

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For businesses, each of these factors increases agility and flexibility, which are fundamental elements of hyperscalability. With automated workflows, businesses can rebuild systems with greater speed and reliability.

While hyperscalability offers companies of all sizes the potential for increased efficiency, it also creates security risks. Automation can help keep systems secure as they hyperscale.

Increased complexity is one of the factors inherent in hyperscalability that leads to increased security risks. As a system expands, the attack surface increases, and each additional component adds potential vulnerabilities that must be addressed and protected.

The risk of misconfiguration also increases as the nigeria mobile database scales. Recent research has shown that misconfiguration is a very common attack vector, accounting for 11% of attacks on cloud infrastructures, according to IBM’s “Cost of a Data Breach Report 2023.” Only phishing and credential theft or compromise are more common.

The primary security benefit of automation is the ability to reduce the risks associated with human involvement, as human error accounts for 74% of cybersecurity breaches, according to Verizon’s 2023 Data Breach Investigations Report. The risk of the most common types of breaches is significantly reduced by implementing automation, which reduces the reliance on humans, especially in security-related processes.

The first step to reducing risk is to automate routine security and scaling tasks, including processes such as installing security patches and setting scaling limits. Automated processes ensure that these tasks are completed accurately and in a timely manner.

Infrastructure as code (IaC) is another automation component that reduces security risks. IaC eliminates the need for manual configuration of network components by defining provisioning and deployment processes using coding. In terms of scaling, IaC reduces the time required to change configurations and, therefore, the time required to adjust resource capabilities.