Utilizing an Integrated Approach for Application Security

Among every industry and organizations, application security has emerged as a progressively complex and challenging issue. Over the past few years, the rapid innovation in this field has resulted in the increase of attack surfaces, significantly where firms have shifted to modern application stacks on cloud-based security. Attack surfaces have also been expanded by the increased deployment of the Internet of Things (IoT) and connected devices, as well as by new hybrid working patterns. 

The volume and sophistication of cybercrime attacks have sharply increased at the same time, causing concerns inside IT departments. According to the most recent study from Cisco AppDynamics, the shift to a security approach for the full application stack, 78% of technologists believe that their company is susceptible to a multi-stage cybersecurity attack that would target the entire application stack over the course of the following 12 months. Indeed, such an attack might have catastrophic results for brands. 

The major problem for IT teams is the lack of the right level of visibility and insights in order to recognize where new threats are emerging across a complicated topology of applications. More than half of engineers claim that they frequently find themselves operating in "security limbo" since they are unsure of their priorities and areas of concentration. 

IT teams can safeguard the complete stack of modern apps throughout the entire application lifecycle by using an integrated approach to application security. It offers total protection for applications across code, containers, and Kubernetes, from development to production. Moreover, with coupled application and security monitoring, engineers can assess the potential business effect of vulnerabilities and then prioritize their responses instead of being left in the dark. 

Moving to a Security Approach for the Full Application Stack 

In order to improve the organization security, tech experts are recognizing the need for adopting a security strategy for the entire application stack that provides comprehensive protection for their applications from development through to production across code, containers, and Kubernetes. 

Moreover, IT teams are required to integrate their performances and security checks to gain a better understanding of the way security flaws and incidents could impact users and organizations. Tech experts can assess the significance of risks using severity scoring while taking the threat's context into account thanks to business transaction insights. This entails that they can give priority to threats that pose a risk to an application or environment that is crucial for conducting business. 

Due to the complexity and dynamic nature of cloud-native technologies, as well as the quick expansion of attack surfaces, IT teams are increasingly relying on automation and artificial intelligence (AI) to automatically identify and fix problems across the entire technology stack, including cloud-native microservices, Kubernetes containers, multi-cloud environments, or mainframe data centers. 

AI is already being used for continuous detection and prioritization, maximizing speed and uptime while lowering risk by automatically identifying and blocking security exploits without human interaction. Also, more than 75% of technologists think AI will become more crucial in tackling the issues their firm has with speed, size, and application security skills. 

To safeguard modern application stacks, companies must encourage much closer IT team collaboration. With a DevSecOps strategy, security teams analyze and evaluate security risks and priorities during planning phases to establish a solid basis for development. This adds security testing early in the development process. 

IT teams can be far more proactive and strategic in how they manage risk with a comprehensive approach to application security that combines automation, integrated performance, security monitoring, and DevSecOps approaches. A security strategy for the entire application stack can free engineers from their impasse and enable them to create more secure products, prevent expensive downtime, and advance into the next innovation era.