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How do you secure data in architecture reviews?

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Data architecture reviews are essential for ensuring the quality, performance, and scalability of your data systems. But they also have a critical role in data security, especially in the era of data breaches, privacy regulations, and cyberattacks. How do you secure data in architecture reviews? Here are some best practices to follow.

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Jwala Vedantam

#CloudComputing | #AWS | #DataCloud | #Snowflake | #INDIA

1 Identify data assets and risks

The first step in securing data in architecture reviews is to identify what data assets you have, where they are stored, how they are accessed, and what risks they face. Data assets include any data that is valuable, sensitive, or regulated, such as customer information, financial records, intellectual property, or personal data. Data risks include any threats or vulnerabilities that could compromise the confidentiality, integrity, or availability of your data assets, such as unauthorized access, data leakage, data corruption, or data loss. You can use tools such as data catalogs, data lineage diagrams, data flow diagrams, or data security matrices to document and visualize your data assets and risks.

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Jwala Vedantam

#CloudComputing | #AWS | #DataCloud | #Snowflake | #INDIA
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Regular internal security checks such as Pen tests can help assess ones own systems. Using cloud vendors can also enhance security controls especially physical security of data centers.

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2 Apply data security principles

The next step in securing data in architecture reviews is to apply data security principles to your data systems. These principles are the guidelines and best practices that help you design, implement, and maintain data systems that protect your data assets from data risks. Data minimization involves collecting and storing only the data that you need for business purposes and deleting or anonymizing the data that you no longer need. Additionally, encryption techniques should be used to protect your data at rest and in transit from unauthorized access or interception. Access control mechanisms should be employed to restrict who can access your data and what they can do with it. Data backup and recovery procedures should also be implemented to ensure that you can restore your data in case of loss or corruption. Finally, auditing and monitoring tools should be used to track and record who accesses your data, when, and why, as well as detect and respond to any data anomalies or incidents.

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Jwala Vedantam

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One of major client concerns of data security are co-location of multiple clients. These concerns are valid and should be addressed whenever multi-tenant systems are built.

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3 Review data security policies and standards

The final step in securing data in architecture reviews is to review your data security policies and standards. Data security policies and standards are the rules and requirements that govern how you handle your data assets and risks. They can be derived from internal or external sources, such as your organization's data strategy, data governance framework, or data ethics code, or from regulatory or industry standards, such as GDPR, HIPAA, or PCI-DSS. You should review your data security policies and standards regularly to ensure that they are aligned with your data security principles, your data architecture, and your business objectives. You should also verify that your data systems comply with your data security policies and standards, and that you have the evidence and documentation to prove it.

Securing data in architecture reviews is not a one-time activity, but a continuous process that requires collaboration, communication, and coordination among different stakeholders, such as data architects, data engineers, data analysts, data stewards, data owners, and data users. By following these best practices, you can ensure that your data architecture reviews not only improve the quality, performance, and scalability of your data systems, but also enhance the security, privacy, and trustworthiness of your data assets.

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4 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?

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Jwala Vedantam

#CloudComputing | #AWS | #DataCloud | #Snowflake | #INDIA
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Highly sensitive customers may also require us to deploy customer supplied encryption keys. Considering such requirements early on during architecture and design phases can help.

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How do you secure data in architecture reviews?

1

2

3

4

1 Identify data assets and risks

2 Apply data security principles

3 Review data security policies and standards

4 Here’s what else to consider

Data Architecture

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How do you secure data in architecture reviews?

1

2

3

4

1 Identify data assets and risks

2 Apply data security principles

3 Review data security policies and standards

4 Here’s what else to consider

Data Architecture

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