Automated Sensitive Data Detection Tool

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Monitor and restrict accessAre you concerned about the security and privacy of your organization’s data in Power BI reports? Do you want to ensure that sensitive data is not inadvertently exposed to unauthorized individuals? Our automated tool can help!

Our tool is designed to scan and analyze Power BI reports to detect and identify sensitive data, such as personal identifiable information (PII), confidential information, and financial information. Our tool will help you to identify sensitive data so you can comply with data privacy regulations, such as Australian Privacy Act 1998, GDPR (General Data Protection Regulation) and CCPA (California Consumer Privacy Act).

Our automated tool analyze the data in your Power BI reports and helps you discover sensitive data points and data sets. Our tool is easy to use and can be integrated into your existing Power BI workflow. It can be used as part of your report creation process to ensure that sensitive data is not included in the report, or it can be used to scan existing reports to identify any sensitive data that needs to be removed.

With our automated tool, you can:

  • Improve the security and privacy of your data in Power BI reports
  • Helps to comply with data privacy regulations
  • Reduce the risk of data breaches and unauthorized access to sensitive information
  • Save time and resources by automating the sensitive data detection process

Don’t wait any longer to secure your organization’s sensitive data in Power BI reports. Contact us today to schedule a demo and to learn more about our automated tool and how it can benefit your organization!

Detecting sensitive data from Power BI reports

We have built Sensitive Data Detection tool that helps to identifies and highlights sensitive data elements within an organization’s power bi data repositories. These data elements can include personally identifiable information (PII), financial information, healthcare information, or other sensitive data types. By identifying and highlighting these data elements, organizations can reduce the risk of data breaches and ensure compliance with data privacy regulations.

How Sensitive data detection can help organisation?

Detecting sensitive data from Power BI reports is important to protect personal and confidential information from unauthorized access or disclosure. Here are some reasons why detecting sensitive data from Power BI reports is important:

Compliance with Data Privacy Regulations

Many industries, such as healthcare and finance, are subject to data privacy regulations like Australian Privacy Act 1988, GDPR or HIPAA for handling personal information about individuals. These regulations require that sensitive data is protected from unauthorized access and disclosure. Detecting sensitive data from Power BI reports ensures compliance with these regulations.

Prevent Data Breaches

Sensitive data, such as personal identification information (PII), financial information, or health information, can be a target for data breaches. Detecting sensitive data in Power BI reports helps prevent data breaches by ensuring that the data is properly secured and only accessible to authorized users.

Protect Brand Reputation

Data breaches can damage an organization’s brand reputation and lead to loss of customer trust. Detecting sensitive data in Power BI reports and ensuring that the data is properly secured can help protect an organization’s brand reputation.

Mitigate Legal Risks

A data breach that involves sensitive data can result in legal and financial consequences. By detecting sensitive data in Power BI reports and ensuring compliance with data privacy regulations, organizations can mitigate legal risks.

Ensure Data Accuracy

Sensitive data is often critical to an organization’s operations, and inaccurate data can lead to errors or inefficiencies. Detecting sensitive data in Power BI reports and ensuring its accuracy can help ensure that decisions based on the data are sound and reliable.

What Consequences would organization need to go through if no action is taken ?

The consequences can be severe and long-lasting for both individuals and organizations based on organisation data assets. Here are some of the potential consequences:

Identity theft

Sensitive data, such as Tax File Number (TFN), social security numbers, credit card numbers, or personal identification information (PII) such as Customer Name, Date of Birth, Customer Address, can be used by cybercriminals for identity theft.

Financial Loss

Data leakage of sensitive data can lead to financial loss for both individuals and organizations. Individuals may be liable for unauthorized transactions or may have to pay for credit monitoring services to protect against identity theft. Organizations may face fines, lawsuits, or loss of revenue due to reputation damage.

Reputation Damage

Data leakage of sensitive data can damage an organization’s reputation and erode customer trust. This can lead to loss of business, negative media coverage, and decreased investor confidence.

Legal and Regulatory Consequences

Data leakage of sensitive data can lead to legal and regulatory consequences, including fines and sanctions. Organizations that are subject to data privacy regulations, such as Australian Privacy Act 1988, GDPR or HIPAA, may face additional penalties for non-compliance.

Operational Disruption

Data leakage can disrupt an organization’s operations, leading to lost productivity, IT system downtime, and damage to critical infrastructure.

Loss of Intellectual Property

Data leakage of sensitive data can also result in loss of intellectual property, such as trade secrets, proprietary information, or confidential research and development data. This can undermine an organization’s competitive advantage and long-term success.

How can you overcome this issue?

1. Review data sources: Review the data sources used in the report and identify any sources that may contain sensitive data. For example, a customer database may contain personal information such as names, addresses, date of birth and phone numbers.

2. Identify data elements: Identify data elements within the data sources that may contain sensitive information. For example, a column named “Social Security Number”, “ Tax File Number”, “Date of Birth” or “Credit Card Number” may indicate sensitive data.

3. Use Power BI’s data profiling tools: Power BI has built-in data profiling tools that can help you identify sensitive data. Use these tools to scan the data sources and identify sensitive data elements.
4. Review report visuals: Review the visuals and tables used in the report and identify any data elements that may contain sensitive information. For example, a visual that displays a list of customer names and addresses may contain sensitive data.

5. Analyze report data: Analyze the data displayed in the report and identify any patterns or trends that may indicate the presence of sensitive data. For example, if the report displays unusually high credit card transactions, it may indicate fraudulent activity.

6. Consult with data privacy experts: Consult with data privacy experts to ensure that your report complies with data privacy regulations such as GDPR or HIPAA. They can help you identify potential privacy risks and provide recommendations on how to mitigate them.

7. Implement data masking and encryption: Implement data masking and encryption to protect sensitive data. This can include masking customer names, date of birth, credit card numbers or encrypting social security numbers. Power BI has built-in features to help you implement these data protection measures.

In summary, detecting sensitive data from Power BI reports is important to protect personal and confidential information, ensure compliance with data privacy regulations, prevent data breaches, protect brand reputation, mitigate legal risks, and ensure data accuracy. And to help organisation to detect sensitive information from Power BI reports, we have built custom tool which can help you to discover sensitive and confidential information from your Power BI reports. We can also customise as per your project needs.

How can Technology Cue can help you ?

We have built the solution that can help to keep your sensitive data safe and secure!
In today’s digital age, data is a valuable asset. However, with the increasing threat of cyber attacks and unauthorised attack, it’s more important than ever to protect your sensitive data from unauthorized access or disclosure. Our Sensitive Data Detection Automated Tool uses advanced algorithms to scan your data and identify sensitive information such as personal identification information (PII), financial information, and health information.
With our tool, you can:

Safeguard Your Sensitive Data

Our tool helps you identify sensitive data in your Power BI reports, so you can take necessary precautions to protect your data from unauthorised access and cyber threats.

Ensure Compliance

Our tool helps you to identify data points that you are interested in from Power BI reports so you can comply with data privacy regulations like Australian Privacy Act, GDPR and HIPAA, which require that sensitive data is properly protected and secured.

Save Time and Resources

Our tool automates the process of sensitive data detection, saving you time and resources that can be allocated to other critical areas of your business.

Mitigate Legal Risks

Our tool will help you to identify sensitive data points which will help you to reduce the risk of legal and financial consequences associated with data breaches that involve sensitive data.

Boost Customer Confidence

By protecting your sensitive data, you can boost customer confidence and protect your brand reputation.

Don’t leave your sensitive data unprotected! With our Sensitive Data Detection automated tool and services, you can rest easy knowing that your data is secure.

Contact us today to learn more!

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