6. Understand email filtering - DataMapper (EN)

At Safe Online, we are constantly working to improve the efficiency and accuracy of our data discovery solutions. DataMapper has an advanced email filtering system that significantly reduces the scanning of non-sensitive information in Outlook accounts: non-personal emails, such as no-reply@domain.com, are not scanned.

Why email filtering?

Email accounts often contain a large volume of communication that, while important for daily operations, typically does not involve sensitive data. By filtering out such email accounts, DataMapper can focus on content with a higher likelihood of containing sensitive information, which improves scanning accuracy, reduces false positives, and enhances overall performance.

Benefits of this email filtering

Implementing this email filtering offers several key benefits:

  • Improved efficiency: By ignoring emails/accounts that are unlikely to contain sensitive data, DataMapper spends less time scanning irrelevant content, which speeds up the overall scanning process.
  • Reduced false positives: By eliminating routine and transactional emails from scanning, the likelihood of false positives - where non-sensitive data is incorrectly flagged as sensitive - is significantly reduced.
  • Cost-effective scanning: With fewer irrelevant emails to process, your scans are not only faster but also more cost-effective, saving on storage and computing resources.
  • Focused results: Users receive scan results that are more relevant, making it easier to manage and protect truly sensitive data.

How does email filtering work?

Our filtering system specifically targets email domains known for sending non-sensitive communications. These include automated alerts, newsletters, and other routine correspondence that is less likely to contain sensitive data. Here is a list of the types of email domains that are now excluded from scanning via DataMapper:

  • Automated notifications such as no-reply@, noreply@, and alerts@
  • Administrative communications from addresses such as admin@, support@, and webmaster@
  • Marketing and informational broadcasts from marketing@, info@, and sales@
  • Transactional emails such as invoice@, reservations@, and guestservices@

Examples of improved scanning

To illustrate, consider these scenarios:

  1. Before filtering: DataMapper scans all incoming emails, including daily newsletters from info@company.com, causing unnecessary alerts and a cluttered dashboard.
  2. After filtering: With the new email filters applied, these routine newsletters are no longer scanned, allowing the system to focus on potentially sensitive emails, such as those containing client information or financial data.

Email filtering in DataMapper is designed to make your data protection efforts more targeted and effective. By focusing on emails that are more likely to contain sensitive information, DataMapper not only improves security but also optimizes the use of your resources and administrative oversight.

Do you have more questions? Then you can write to us via the chat in DataMapper or send us an email at support@safeonline.dk 😊

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