Search results for: 'application delivery'

Modern application environments are built on cloud-native architectures, IaC, and microservices deployed through Kubernetes and containers. While these technologies deliver agility and scalability, they also significantly expand the attack surface, making vulnerabilities more difficult to track and remediate across the software development life cyc...

Cloud adoption globally continues to expand the enterprise attack surface, making cloud risk more dynamic, distributed, and operationally complex than earlier posture-centric models assumed. Modern cloud-native security needs more than a traditional shift-left approach that requires early security integration throughout the application development ...

06 Aug 2025  |  Global  |  Market Research

Cloud-Native Application Monitoring Platforms, Global, 2024–2029

Rapid Adoption of Cloud-Native Technologies Fuels Demand

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The use of cloud-native technologies, such as containers and Kubernetes (K8s), has enabled a faster application development and delivery process and more efficient resource usage. However, it also introduced a level of operational complexity that traditional application monitoring tools are not equipped to solve as it has not been designed to addre...

The multilayered architecture of cloud-native applications, involving containers, microservices, and underlying infrastructure, complicates threat detection and incident response. Attacks can move across these layers, starting at the application level, exploiting API or unknown vulnerabilities, and moving laterally through the container layer to th...

24 Jan 2025  |  Global  |  Market Research

Cloud-native Application Protection Platform (CNAPP) Market, Global, 2025–2029

CNAPP is Experiencing Transformational Growth Due to Increasing Requirements for a Unified Cloud Security Platform

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Modern cloud-native security requires a paradigm shift to a shift-left security model to protect applications by moving security closer to identified dynamic workloads and applications based on attributes and metadata, such as labels and tags. It requires integrating security early and throughout the application development life cycle (ADLC)—instea...

According to the United Nations, 68% of the world’s population will be living in cities by 2050. Massive investments, developments, and population shifts will require smart security systems to ensure data privacy and cybersecurity of the urban population and digital assets. The US spent $409 billion from 2003 to 2024 on the agencies for immigratio...

This report examines the growing importance of AI governance platforms in enabling responsible and scalable artificial intelligence adoption, with a focused analysis of their applications and opportunities across interoperability, data privacy, and digital ethics. As organizations increasingly deploy complex AI systems, the need for structured gove...

This study provides an in-depth examination of recent advancements in next-generation terahertz (THz) imaging and sensing technologies and their increasingly transformative impact across healthcare diagnostics and security-related applications. It focuses on how emerging THz systems, enabled by significant progress in quantum cascade lasers (QCLs),...

Software supply chain security (SSCS) refers to the security solutions, including tools, services, and practices that protect the software development life cycle (SDLC) against cybersecurity attacks covering phases from software development (initial coding and testing) to runtime. Typical vectors that SSCS secures include open-source or third-party...