Why Your Data Protection Program Should Be Policy-Based
嗯,用户让我用中文帮他总结一下这篇文章的内容,控制在一百个字以内,而且不需要以“文章内容总结”或者“这篇文章”这样的开头,直接写描述。好的,首先我需要通读整篇文章,理解它的主要观点和结构。 文章主要讲的是数据保护的传统方法复杂且难以管理,容易导致数据泄露或不合规。然后引入了基于策略的现代数据保护方法,强调其优势:标准化保护、提高生产力、减少对用户的依赖。接着详细说明了基于策略的数据保护程序如何确保一致性,包括发现、删除、加密等措施。还提到了策略驱动的加密如何不影响生产力,并举例说明。最后介绍了PK Protect这个平台的优势。 现在我需要把这些要点浓缩到100字以内。重点包括:传统方法的问题、基于策略的优势、具体措施如发现和加密、以及解决方案PK Protect带来的好处。 可能的结构是:传统数据保护复杂困难,基于策略的方法统一管理和自动化,提升安全性和效率,并满足合规要求。最后提到PK Protect作为解决方案。 这样组织起来应该能控制在100字左右。 </think> 传统数据保护复杂且难以管理,基于策略的方法通过统一化管理和自动化提升安全性与效率,满足合规要求。 2026-3-5 21:6:12 Author: securityboulevard.com(查看原文) 阅读量:2 收藏

Traditionally, data protection programs have been complex and difficult to manage. Without a consistent approach, gaps arise that can lead to data exposure or non-compliance. A more modern option is to centralize policy-based security. This strategy standardizes protections across environments. It also maintains productivity and reduces reliance on users to make the right security decisions.

Policy-based approaches also scale better. As data volumes grow and environments multiply, it’s impractical to manage protection and compliance manually. When you centralize policies, you can apply, audit, and update protections uniformly. As a result, you can improve security posture while making compliance easier to demonstrate. This is why policy-driven controls are foundational rather than optional.

What Is a Policy-Based Data Protection Program?

A policy-based data protection program ensures consistent enforcement across all environments. You can apply discovery and remediation actions, including classify, encrypt, mask, redact, delete, or quarantine.

  • Discovery: Policy-based discovery replaces manual, error-prone processes with automated, continuous scanning of repositories and files.
  • Redaction: Policies that redact sensitive elements like credit card numbers, PHI, or PII minimize sensitive data exposure. Tailor policies by data type and enforce redaction automatically as you create, modify, or store data in repositories.
  • Masking: This type of remediation provides a way to safely use data in testing, analytics, and AI models while maintaining compliance. You can mask across many environments and manage them all through centralized policies.
  • Encryption: Certificate-free, policy-based encryption removes the administrative burden of traditional key management. Centrally enforced encryption policies secure data enterprise-wide without breaking workflows.

Policy-Driven Encryption Prevents Disruption

One of the primary concerns about encryption is its impact on productivity. Traditional strategies can cause interruptions. However, your employees, applications, and workflows need encrypted data for business operations.

Policy-based encryption eliminates this challenge. It doesn’t slow down business or create friction. Rather, it automatically secures files on desktops, servers, and file shares and allows applications and workflows to interact with encrypted files. This ensures encrypted files remain accessible to authorized users and applications that need them. It’s centralized, streamlined, and scalable across your entire enterprise.

For example, one of the largest U.S. banks uses policy-based encryption to process 20–30 million encryptions monthly. Over 150,000 users interact with encrypted files with zero friction. The technology that allows this is Smartkeys, which combine encryption keys and access control lists. There’s no need for a separate key infrastructure, which also reduces costs.

Encryption and decryption with Smartkeys is policy-driv en. When users create or modify files, they enforce protection without user action. Additionally, the encryption is persistent. It travels with the data at rest, in motion, and in use across disparate systems, including Windows, MacOS, Unix, Linux, and IBMi.

Policy Settings Are Customizable

Data-Centric Security to Eliminate ExposureEvery organization has a unique data protection program, driven by regulatory requirements and industry-specific needs. As a result, you need a solution with granular customization settings that are adjustable and in one central spot. With this approach, you can consistently ensure uniform application and no gaps.

Administrators define the policies, which are then automatically enforced across users, groups, or locations.

A Policy-Based Data Protection Program Eliminates the Trade-Off Between Compliance and Productivity

Compliance can infringe on operational efficiency when protection isn’t policy-based. Friction in security processes can frustrate users, and in some cases, cause them to find risky workarounds so they can simply do their job.

Ideally, you have to find a solution to satisfy both ends of the equation. Central management via policy for discovery and remediation empowers you to leverage smart automation that doesn’t jeopardize compliance or efficiency.

How Policy-Based Data Protection Closes Gaps and Supports Compliance

Data-Centric Security to Eliminate ExposureAn enterprise data protection platform enables policy-driven protection. You can secure all sensitive information to reduce risk and simplify compliance. Here are some examples.

TISAX-specific requirements include using a consistent, policy-based classification scheme based on criteria such as value, confidentiality, and legal requirements. You can do this throughout the enterprise with a solution that centralizes your policies.

Multiple regulations require encryption at rest and in transit, including GLBA, PCI DSS, HIPAA, and FISMA. Policy-based encryption solutions provide security that follows your data and ensures seamless access.

PK Protect: Your Policy-Based Platform

Moving to policy-driven data protection delivers clear advantages. You can meet compliance mandates, eliminate usability issues, and protect data wherever it lives or moves.

PK Protect is a policy-based platform that enables consistent data discovery and remediation. It works across the organization through centrally managed policies. Simplify security on endpoints, servers, on-prem, cloud, databases, data lakes, applications, and even the mainframe. See how it works by requesting a demo today.


文章来源: https://securityboulevard.com/2026/03/why-your-data-protection-program-should-be-policy-based/
如有侵权请联系:admin#unsafe.sh