Check Point’s CloudGuard Named Leader for Cloud Security in GigaOm Report

In a major acknowledgment of its innovation and leadership in cloud security, Check Point Software Technologies has been named a Leader and Fast Mover in GigaOm’s Radar Report for Cloud-Native Application Protection Platforms (CNAPPs) for its CloudGuard solution. The recognition underscores Check Point’s pivotal role in securing cloud-native applications and highlights its commitment to providing robust, scalable protection for evolving cloud environments. The GigaOm report evaluated 17 different CNAPP solutions, assessing each for critical features including threat detection, misconfiguration management, and integration with DevOps processes, among other criteria. Notably, CloudGuard scored a perfect 5 out of 5 in several categories, demonstrating its comprehensive capabilities and cohesive strategy in cloud security.

Cloud-native application protection platforms are essential for addressing the increasingly complex security challenges presented by modern cloud environments. These solutions offer features that range from advanced threat detection and prevention to real-time API security and seamless code security integration, ensuring vulnerabilities are identified and mitigated early in the development process. Analyst Chris Ray praised CloudGuard for its all-encompassing approach, which not only manages misconfigurations and protects against advanced threats but also integrates smoothly with DevOps processes to support DevSecOps practices. This level of integration is vital for organizations transitioning towards more collaborative, security-focused development methodologies. CloudGuard’s ability to handle these multifaceted requirements makes it a valuable asset for any organization looking to safeguard their cloud-native applications.

Features and Recognition

Check Point’s CloudGuard was particularly commended for its advanced threat detection and AI-driven remediation suggestions, which enable real-time responses to potential security incidents. The platform’s real-time API security capabilities ensure that exposed APIs are continuously monitored and protected, addressing a crucial vulnerability point in many cloud applications. Additionally, CloudGuard’s code security features catch vulnerabilities during the development phase, preventing potential security issues from reaching production environments. The report also highlighted CloudGuard’s scalable security measures, which adapt to an organization’s growing demands and changing threat landscapes. This scalability ensures continuous protection without sacrificing performance or user experience.

As Paul Barbosa, a representative of Check Point, expressed, the company takes great pride in this recognition. CloudGuard allows organizations to innovate with confidence, knowing their cloud-native applications are protected by a solution that evolves alongside the threat landscape. The GigaOm report is further validation of CloudGuard’s leading position in the market and its pioneering approach to cloud security. This endorsement is particularly timely as more companies adopt cloud services and require reliable security measures to protect their digital assets from sophisticated threats.

Growing Importance of Cloud Security

Check Point Software Technologies has been recognized as a Leader and Fast Mover in GigaOm’s Radar Report for Cloud-Native Application Protection Platforms (CNAPPs) for its CloudGuard solution. This accolade highlights Check Point’s significant innovation and leadership in cloud security. The report assessed 17 CNAPP solutions, evaluating critical features like threat detection, misconfiguration management, and DevOps integration. Impressively, CloudGuard scored a perfect 5 out of 5 in multiple categories, showcasing its extensive capabilities in securing cloud-native applications.

Cloud-native application protection platforms address growing security challenges in modern cloud environments. These solutions offer advanced threat detection, real-time API security, and seamless code security integration, ensuring early identification and mitigation of vulnerabilities during development. Analyst Chris Ray commended CloudGuard’s holistic approach, which not only prevents misconfigurations and advanced threats but also integrates smoothly with DevOps processes, promoting DevSecOps practices. This makes CloudGuard an invaluable asset for organizations aiming to protect their cloud-native applications effectively.

Explore more

Trend Analysis: Agentic AI in Data Engineering

The modern enterprise is drowning in a deluge of data yet simultaneously thirsting for actionable insights, a paradox born from the persistent bottleneck of manual and time-consuming data preparation. As organizations accumulate vast digital reserves, the human-led processes required to clean, structure, and ready this data for analysis have become a significant drag on innovation. Into this challenging landscape emerges

Why Does AI Unite Marketing and Data Engineering?

The organizational chart of a modern company often tells a story of separation, with clear lines dividing functions and responsibilities, but the customer’s journey tells a story of seamless unity, demanding a single, coherent conversation with the brand. For years, the gap between the teams that manage customer data and the teams that manage customer engagement has widened, creating friction

Trend Analysis: Intelligent Data Architecture

The paradox at the heart of modern healthcare is that while artificial intelligence can predict patient mortality with stunning accuracy, its life-saving potential is often neutralized by the very systems designed to manage patient data. While AI has already proven its ability to save lives and streamline clinical workflows, its progress is critically stalled. The true revolution in healthcare is

Can AI Fix a Broken Customer Experience by 2026?

The promise of an AI-driven revolution in customer service has echoed through boardrooms for years, yet the average consumer’s experience often remains a frustrating maze of automated dead ends and unresolved issues. We find ourselves in 2026 at a critical inflection point, where the immense hype surrounding artificial intelligence collides with the stubborn realities of tight budgets, deep-seated operational flaws,

Trend Analysis: AI-Driven Customer Experience

The once-distant promise of artificial intelligence creating truly seamless and intuitive customer interactions has now become the established benchmark for business success. From an experimental technology to a strategic imperative, Artificial Intelligence is fundamentally reshaping the customer experience (CX) landscape. As businesses move beyond the initial phase of basic automation, the focus is shifting decisively toward leveraging AI to build