Zero Trust and Data Privacy: Inseparable in 2025
文章介绍了零信任安全模型的六个关键原则:最小权限访问、持续验证、微分段、每个连接的零信任、加密与数据保护以及实时监控和分析。这些原则通过限制访问权限、实时身份验证、网络隔离、全面连接保护、数据加密以及主动威胁检测来提升整体安全性。 2025-8-29 18:47:37 Author: securityboulevard.com(查看原文) 阅读量:14 收藏

1. Least Privilege Access

Least privilege access means granting users, devices, and applications only the minimum permissions they need to perform their tasks. By limiting access, organizations reduce the risk of accidental or malicious data exposure.

For example, an HR employee may have access to employee records but cannot access financial data. Similarly, contractors or temporary staff are given time-limited, restricted access. Implementing least privilege access requires clear policies, role definitions, and automated tools to continuously adjust privileges as roles change

2. Continuous Verification

Zero-Trust does not stop at login. Continuous verification ensures that every access request is checked in real time. This involves confirming the user’s identity, device security posture, location, and behavioral context before granting or maintaining access.

For instance, if a user’s device becomes non-compliant with security policies, access can be automatically restricted until the issue is resolved.

This ongoing verification prevents unauthorized access even if credentials are stolen or a device is compromised.

3. Micro-Segmentation

Micro-segmentation divides networks, applications, and data into smaller, isolated zones. This ensures that if an attacker gains access to one segment, they cannot move laterally to other parts of the network.

For example, sensitive financial systems can be segmented separately from marketing or customer support systems.

Even within cloud environments, segmentation can enforce strict boundaries between applications, workloads, and databases. Micro-segmentation works hand-in-hand with access policies to contain threats and reduce overall risk.

4. Zero Trust for Every Connection

Zero-Trust applies not only to external connections but also to internal communications. Every connection—whether between a user and an application, a device and a server, or two applications—must be verified and authorized.

This principle assumes that threats can originate from inside the network, making internal monitoring and verification just as important as external defenses.

5. Encryption and Data Protection

Protecting data both in transit and at rest is essential for Zero-Trust. Encryption ensures that even if data is intercepted or accessed without authorization, it remains unreadable.

Many organizations combine encryption with tokenization, masking, and data classification tools to enhance security further. These measures align with privacy regulations like GDPR and CCPA, demonstrating accountability and minimizing the risk of data breaches.

6. Real-Time Monitoring and Analytics

Monitoring is the backbone of Zero-Trust. Real-time analytics detect anomalies, potential threats, and unusual behaviors across users, devices, and applications. This proactive monitoring enables organizations to respond quickly to incidents, investigate potential breaches, and adjust policies dynamically.

This makes Zero-Trust more than a cybersecurity trend—it’s a privacy-enabling model.


文章来源: https://securityboulevard.com/2025/08/zero-trust-and-data-privacy-inseparable-in-2025/?utm_source=rss&utm_medium=rss&utm_campaign=zero-trust-and-data-privacy-inseparable-in-2025
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