Data Masking Statistics


Steve Goldstein
Steve Goldstein
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Steve Goldstein runs LLCBuddy, helping entrepreneurs set up their LLCs easily. He offers clear guides, articles, and FAQs to simplify the process. His team keeps everything accurate and current, focusing on state rules, registered agents, and compliance. Steve’s passion for helping businesses grow makes LLCBuddy a go-to resource for starting and managing an LLC.

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Data Masking Statistics 2023: Facts about Data Masking outlines the context of what’s happening in the tech world.

LLCBuddy editorial team did hours of research, collected all important statistics on Data Masking, and shared those on this page. Our editorial team proofread these to make the data as accurate as possible. We believe you don’t need to check any other resources on the web for the same. You should get everything here only 🙂

Are you planning to form an LLC? Maybe for educational purposes, business research, or personal curiosity, whatever the reason is – it’s always a good idea to gather more information about tech topics like this.

How much of an impact will Data Masking Statistics have on your day-to-day? or the day-to-day of your LLC Business? How much does it matter directly or indirectly? You should get answers to all your questions here.

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On this page, you’ll learn about the following:

Top Data Masking Statistics 2023

☰ Use “CTRL+F” to quickly find statistics. There are total 12 Data Masking Statistics on this page 🙂

Data Masking “Latest” Statistics

  • In the U.S., 75% of Americans would prefer to interact with their specialists via email.[1]
  • 60% of Americans would feel like checking their medical reports digitally or electronically.[1]
  • According to the U.S. General Accounting Office, 61% of the data mining projects run by federal bureaus utilized personal information.[1]
  • 67% of the data mining projects in the U.S. are from the private sector concerning personal information.[1]
  • 93% believed organizations distributing personal data for trivial use should be obliged to gain approval from the individuals.[1]
  • 82% of networked users have declined to provide personal information.[1]
  • 34% of Americans have lied when inquired about their personal quirks and inclinations.[1]
  • Manhattan Research Report discovered that only 2.5 million or fewer than 1% of the population had ever employed a PHR.[1]
  • 87% of Americans can be uniquely re-ascertained using deterministic performance linkage with three non-perceptive attributes: gender, birth, and 5-digit zip code, which are reachable from voter registration transcripts feasible to the electorate.[1]
  • Over 70 million in the U.S. have some portion of their medical history in computerized format, and analysts predict EMRs to keep over $81 billion per year.[1]
  • The MSPE rate using the masked data is only 1.39% bigger than that of the unconventional data.[1]
  • For the slightly masked data, they found zero RBID and a 1.05% rise in MSPE, with a correlation count of merely 25 from 126,358 records.[1]

Also Read

How Useful is Data Masking

At its core, data masking involves altering or replacing confidential information with fictitious yet realistic data. This process allows organizations to use sensitive data for testing, training, or analysis purposes without putting the original data at risk. By masking sensitive information such as names, addresses, financial data, or personal identification numbers, organizations can ensure that only authorized personnel have access to the actual data.

One of the key benefits of data masking is its ability to maintain data usability while protecting confidentiality. By preserving the format and structure of the original data, masked data remains functionally equivalent for testing and development purposes. This allows organizations to continue leveraging their data assets without compromising security or regulatory compliance.

Furthermore, data masking helps organizations comply with data privacy regulations such as the General Data Protection Regulation (GDPR) or the Health Insurance Portability and Accountability Act (HIPAA). These laws mandate strict controls on the use and sharing of personal data, requiring organizations to implement robust data protection measures. By using data masking techniques, organizations can de-identify personal information and mitigate the risk of data breaches or compliance violations.

Another advantage of data masking is its versatility across different types of data sources and formats. Whether organizations need to secure structured data in databases, unstructured data in documents, or semi-structured data in logs, data masking can be applied uniformly. This flexibility allows organizations to protect sensitive information across their entire data ecosystem without disruptions or compatibility issues.

Moreover, data masking can play a crucial role in maintaining customer trust and reputation. In today’s data-driven economy, consumers expect organizations to handle their personal information responsibly and ethically. By implementing strong data protection measures such as data masking, organizations can demonstrate their commitment to safeguarding customer data and building trust with their stakeholders.

However, despite its many benefits, data masking is not a foolproof solution. Like any security measure, data masking has its limitations and can be susceptible to advanced techniques used by cybercriminals. Organizations must implement additional layers of security, such as encryption, access controls, and monitoring, to fortify their data protection efforts.

In conclusion, data masking is a vital component of a comprehensive data security strategy. By preserving data usability while protecting confidentiality, organizations can harness the power of their data assets safely and securely. While data masking alone may not be sufficient to ward off all threats, it serves as a critical defense mechanism in the ongoing battle against data breaches and privacy violations. When combined with other best practices and technologies, data masking can help organizations stay ahead of evolving cyber threats and preserve the integrity of their data.

Reference

  1. nih – https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3839961/

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