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What are the best ways to secure your organization's data?

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Data is one of the most valuable assets of any organization, especially in the field of data science, where it is used to generate insights, predictions, and solutions. However, data also comes with risks, such as breaches, theft, loss, or misuse, that can compromise the privacy, integrity, and reputation of the organization and its stakeholders. Therefore, it is essential to implement effective data security measures that can protect the data from unauthorized access, modification, or disclosure. In this article, we will explore some of the best ways to secure your organization's data, covering both technical and non-technical aspects.

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Jon Shen

IAPA Top 10 Analytics Leader | Data Science Actuary | Enabling organisations to extract value from data
Alicia Ha

Automation Developer | Associate Analyst | Data Science Enthusiast | Bs. Med Sci & IT

1 Encrypt your data

One of the most basic and important ways to secure your data is to encrypt it, both at rest and in transit. Encryption is the process of transforming data into a coded form that can only be read by authorized parties who have the key or password to decrypt it. Encryption can prevent hackers, cybercriminals, or malicious insiders from accessing or stealing your sensitive data, such as personal information, financial records, or intellectual property. There are different types of encryption methods and tools available, depending on the type and location of your data. For example, you can use symmetric or asymmetric encryption, public key infrastructure (PKI), or secure sockets layer (SSL) to encrypt your data.

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Alicia Ha

Automation Developer | Associate Analyst | Data Science Enthusiast | Bs. Med Sci & IT
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With an increasing number of cyber attacks over the years, it's become more important than ever to focus on protecting your data. Which is why there's a large demand for cybersecurity roles. It's best to mitigate these risks early by preventing access to the data via encryption.

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2 Manage your access

Another way to secure your data is to manage your access, which means controlling who can access, view, modify, or share your data, and under what conditions. Access management involves setting up roles, permissions, and policies that define the level and scope of access for different users, groups, or devices. For example, you can use role-based access control (RBAC), which assigns access rights based on the role or function of the user, or attribute-based access control (ABAC), which assigns access rights based on the attributes or characteristics of the user, data, or environment. Access management can help you enforce the principle of least privilege, which means granting the minimum amount of access necessary for a specific task or purpose.

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3 Backup your data

A third way to secure your data is to backup your data, which means creating and storing copies of your data in a separate location or medium. Backup can help you recover your data in case of accidental deletion, corruption, or damage, or in case of a disaster, such as a fire, flood, or power outage. Backup can also help you restore your data in case of a ransomware attack, which is a type of malware that encrypts your data and demands a ransom for its decryption. There are different types of backup methods and solutions available, depending on the frequency and volume of your data. For example, you can use full, incremental, or differential backup, or cloud-based or on-premise backup.

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4 Audit your data

A fourth way to secure your data is to audit your data, which means monitoring and recording the activities and events related to your data. Auditing can help you track and verify the source, destination, and usage of your data, as well as detect and respond to any anomalies, errors, or violations. Auditing can also help you comply with the legal and regulatory requirements, standards, and best practices for data security and privacy, such as the General Data Protection Regulation (GDPR), the Health Insurance Portability and Accountability Act (HIPAA), or the ISO 27001. There are different types of audit methods and tools available, depending on the type and complexity of your data. For example, you can use manual or automated audit, or log analysis or data lineage tools.

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5 Train your staff

A fifth way to secure your data is to train your staff, which means educating and raising awareness among your employees, contractors, or partners about the importance and implications of data security. Training can help you prevent or mitigate the human factor, which is one of the most common and costly causes of data breaches, such as negligence, ignorance, or malicious intent. Training can also help you foster a culture of data security and responsibility, where everyone understands and follows the rules and best practices for handling and protecting data. There are different types of training methods and materials available, depending on the level and role of your staff. For example, you can use online or offline training, or videos, quizzes, or simulations.

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Jon Shen

IAPA Top 10 Analytics Leader | Data Science Actuary | Enabling organisations to extract value from data
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In addition to training, it is critical to establish a data governance framework which outlines key data roles and their responsibilities within your organisation e.g. data owners, data stewards and data custodians. Having these structures in place can help reduce the risk of a data breach, and ensure appropriate procedures are in place to respond if a data breach does occur.

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Alicia Ha

Automation Developer | Associate Analyst | Data Science Enthusiast | Bs. Med Sci & IT
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Staff should also have a good understanding of the types of data that are considered more sensitive and therefore should be handled/protected more carefully.

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6 Update your software

A sixth way to secure your data is to update your software, which means keeping your operating systems, applications, and tools up to date with the latest patches, fixes, and features. Updating can help you improve the performance, functionality, and compatibility of your software, as well as address any vulnerabilities, bugs, or flaws that can expose your data to hackers, viruses, or malware. Updating can also help you take advantage of the new and emerging technologies and trends that can enhance your data security and capabilities. There are different types of update methods and options available, depending on the type and provider of your software. For example, you can use manual or automatic update, or on-demand or scheduled update.

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Jon Shen

IAPA Top 10 Analytics Leader | Data Science Actuary | Enabling organisations to extract value from data
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In addition to regularly applying software patches, it is important to evaluate your data science 'supply chain' for potential security vulnerabilities or other undesired outcomes. For example, open source Python packages can have code vulnerabilities which expose your data, or using commercial LLM's or chatbot services may result in your data and IP being used as part of another organisation's algorithm training data. This requires careful consideration, long before your models and pipelines are deployed to production.

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7 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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What are the best ways to secure your organization's data?

1

2

3

4

5

6

7

1 Encrypt your data

2 Manage your access

3 Backup your data

4 Audit your data

5 Train your staff

6 Update your software

7 Here’s what else to consider

Data Science

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What are the best ways to secure your organization's data?

1

2

3

4

5

6

7

1 Encrypt your data

2 Manage your access

3 Backup your data

4 Audit your data

5 Train your staff

6 Update your software

7 Here’s what else to consider

Data Science

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