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This article discusses how Tenable Cloud Security provides visibility and protection across the entire cloud development lifecycle. It emphasizes early detection of misconfigurations and risks through continuous monitoring and automated policies, helping teams secure their cloud infrastructure efficiently.
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Tenable Cloud Security focuses on addressing risks in cloud environments by providing visibility and security throughout the software development lifecycle (SDLC). Misconfigurations and identity sprawl can create significant vulnerabilities, leading to an overwhelming number of alerts for security teams. The solution emphasizes early detection by scanning infrastructure as code (IaC) templates, such as Terraform and CloudFormation, which helps identify security issues before they reach production. By integrating code with runtime context, Tenable aims to streamline the development process and reduce the chances of rework.
The platform offers comprehensive security measures across development, operations, and incident response phases. Key features include continuous traceability from development to production, which allows teams to track vulnerabilities and misconfigurations effectively. Owner attribution is vital, as it links each issue to the responsible team or service, facilitating faster remediation. Drift-aware policy enforcement helps maintain security standards throughout the CI/CD pipeline, ensuring that any deviations from compliance are detected early.
Tenable Cloud Security enhances identity management by providing real-time mapping of access across various roles and users. This ensures that potential access risks are identified and mitigated promptly. The unified exposure graph allows organizations to correlate risks from both cloud-native and traditional IT environments, helping prioritize threats based on exploitability and their potential business impact. Overall, Tenable Cloud Security aims to simplify cloud security management, reduce manual processes, and improve the efficiency of security teams.
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