Zscaler Posture Control

Zscaler Posture Control addresses the complex challenge of securing cloud-native applications across multi-cloud environments, where traditional security tools often fall short due to siloed operations and overwhelming alert volumes. This solution is part of the Zscaler Zero Trust Exchange and is designed as a comprehensive Cloud-Native Application Protection Platform (CNAPP).

Technically, Posture Control employs an entirely agentless architecture, which streamlines workload security by eliminating the need for agents on VMs, containers, and serverless workloads. It integrates natively with major cloud providers, development platforms like VS Code, and DevOps tools such as GitHub and Jenkins. This integration allows for continuous automated risk assessment and security enforcement from the build phase through to runtime, reducing friction between development and security teams.

The platform correlates signals from multiple cloud security engines to identify and prioritize risks, including misconfigurations, vulnerabilities, and excessive entitlements. It uses machine learning to analyze the attack surface, providing a unified view of the cloud infrastructure and enabling teams to discover, prioritize, and remediate high-impact risks efficiently. The solution also includes features like infrastructure-as-code (IaC) security, vulnerability scanning, and compliance checks, all of which are managed through a unified policy engine and data model.

Operationally, Posture Control simplifies security operations by consolidating multiple point solutions such as Cloud Security Posture Management (CSPM), Cloud Infrastructure Entitlement Management (CIEM), and others into a single platform. This reduces complexity and costs associated with managing multiple tools. The platform also provides rich context and actionable information for remediation, along with automated guardrails and step-by-step guided remediation processes.

However, there are operational considerations, such as the potential for increased resource utilization during the initial onboarding and deployment phases, especially in large, complex cloud environments. Additionally, while the agentless approach simplifies deployment, it may require careful configuration to ensure comprehensive coverage of all cloud assets.