How to maintain Data Security while using AI Tools?

With AI and machine learning tools becoming more integrated into the business, It is important to know how employees are using AI-based tools and for what purpose. For example, using Chat GPT for business by entering sensitive information, etc. ISO 27701 Standard and ISO 27001 IT Security Standard provides the base of data security in today’s organizations.

Employees are increasingly using AI tools like ChatGPT to assist with their daily tasks. There is a consequence of uploading sensitive content to these AI-based engines that must be a concern to the organization.

The information shared could be legal contracts, source codes, patient data, customer information, personal data, and more. Hence, it is very essential to have ISO Certification for IT Security and Data Privacy in all organizations.

How to eliminate the risk from AI Data Sharing?

The AI-based tools will help in various instances by providing a human-like response from the input signals provided. Undeniably these tools help increase productivity and efficiency among employees. At the same time, they pose serious threats to the organization in terms of risk the of data leakage.

Employees often overlook the importance of data security. There are potential data risks that they are exposed. Involuntarily they are risking sensitive company information during their engagement with AI-based online tools.


The ISO 27701 Data Privacy Standard has guidelines that will help employees to be aware of the best practices to follow. The Data Privacy Standard consists of policies to follow for the organization to keep their information confidential and also protect the employees from any unauthorized hacking activities.

Ranging from password protection, and 2-Factor authentication, to anti-virus and device protection, there are multiple ways to protect the data. The employees can secure their devices and the information they hold by implementing the best practices listed in the ISO 27701 Standard policy manual.

Which are the common data types that are leaked through AI tools

There are chances of data leaks through AI tools that employees may involuntarily be not aware of. For obtaining assistance from the AI-based tools the employees will provide company information partially or fully.

Employees are now relying on AI-based tools for obtaining support in many business activities. Following are a few of the common activities that employees take AI support for:

1. Legal Contracts

Legal contracts often contain confidential terms and conditions that are vital for business success. Hence, including parts of the contracts with AI tools can result in a breach of confidentiality and legal consequences.

2. Source Code

Source codes are an important component of a software product. Any unauthorized exposure can lead to the loss of intellectual property and the competitive advantage of a company. Valuable trade secrets could be leaked by uploading the source code in an authorized way

3. Patient Data

Patient data is highly sensitive and is subject to strict privacy regulations. There are high chances of data leaks in Healthcare Organizations as the information is very valuable for hackers to negotiate.

ISO Certification for Data Security

So, any unauthorized disclosure of patient information will lead to legal actions, penalties, and loss of reputation.

 4. Customer Information

Companies that store customer information such as credit card numbers, addresses, purchase history, etc., must secure their systems. These data must be loaded into an online AI engine for training or analysis.

Employees must be aware that it is a breach of privacy and trust in doing so. Also, it will eventually result in a loss of company reputation and financial loss.

5. Personal Data

Employees may often share their personal data or details of their co-workers through AI tools. It results in risking their privacy. It could lead to identity theft, fraud, etc.

So, the above-mentioned data types must be secured from any vulnerabilities and especially with the new development of various AI-based online tools. Organizations handling these data points must have a robust Cyber Security System in place.

What are the methods to eliminate the risk of Data Leak in an Organization?

In fact, the ISO 27001:2013 IT Security Management System will significantly help the organization to secure its information database and systems. The ISO 27701 Data Privacy Standard and ISO 27001 IT Security standard will help in mitigating the risks of any form of data leak including AI-based systems.

Hence, the following are the ways to mitigate the risk of AI tools.

1. Develop a Comprehensive Data Security Policy

The organization must develop a robust Data Security Policy. The ISO 27701 and ISO 27001 Standard guidelines can be adopted for framing a comprehensive Data Security Policy. The IT quality team must update the policy regularly and share it with the employees.

Periodic awareness training on the points of vulnerability and the policy changes must be provided to the employees for them to stay updated with the data leak trends. 

2. Train Employees on Data Security Best Practices

Provide the employees with the ISO 27001 and ISO 27701 Certification awareness training and the risks associated with sharing sensitive data with AI tools. Conducting periodic sessions on the latest technology, data vulnerability, data security practices, and more

3. Use Secure AI Tools

There are many AI tools that has robust data security. Verify the data security claims and their encryption and authentication features. It will help in minimizing the risk of data exposure.

4. Implement Access Controls

Implement role-based access controls and limit access to sensitive data. Ensure only authorized personnel can access and share sensitive information. Periodically review and update the access permissions and maintain a secure environment.

5. Monitor and Audit AI Tool Usage

Set up a system to monitor and audit the use of AI tools within the organization. It will help in identifying potential data leaks and unauthorized access to sensitive information. Regularly conduct reviews in the backend to ensure employees are using data security-compliant AI tools in the organization.

Hence, in the modern world, ISO Certifications for Information Technology and Best Data Security practices are very essential. The ISO 27001:2013 IT Security Management System and ISO 27701:2020 Data Privacy Standard will act as a base for data security.

The ISO IT Certification Standard Guidelines will support the development and implementation of data security practices. This will in turn limit the risk of data leaks and sharing sensitive information through AI-based tools.

To know more about Data Security practices and ISO IT Certifications, talk to our expert ISO Consultants right away!

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