Data Theorem Cloud Secure

2 reviews

Data Theorem's Cloud Secure is an automated, continuous security service that integrates Cloud-Native Application Protection Platform (CNAPP) and Application Security (AppSec) capabilities across multi-cloud environments, encompassing both public and private assets. It offers a comprehensive, application-centric approach to cloud security, ensuring robust protection for cloud-native applications and infrastructure. Key Features and Functionality: - Monitoring: Implements Cloud Security Posture Management (CSPM) for continuous asset discovery, vulnerability assessments—including Static Application Security Testing (SAST), Dynamic Application Security Testing (DAST), Software Composition Analysis (SCA), and Infrastructure as Code (IaC) analysis—and Cloud Identity and Entitlement Management (CIEM). - Hacking: Utilizes innovative Hacker Toolkits that provide daily updates on security vulnerabilities and exploits, identifying potential external attack vectors and data breach risks within cloud environments. - Protection: Offers runtime protections designed to prevent data breaches across cloud-native APIs and applications, leveraging Data Theorem's Software Development Kit (SDK) libraries for real-time telemetry collection and policy-based blocking. Primary Value and Problem Solved: Cloud Secure addresses the critical need for comprehensive security in cloud-native applications by providing continuous monitoring, proactive vulnerability identification, and real-time protection mechanisms. By integrating CNAPP and AppSec functionalities, it enables organizations to effectively manage and secure their multi-cloud assets, thereby reducing the risk of data breaches and ensuring compliance with security standards. This holistic approach empowers businesses to maintain a strong security posture in the dynamic landscape of cloud computing.

Data Theorem

1 review

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