Part 1 described the potential hazards of uploading data and introduced data protectors. In Part 2, we’ll discuss other ways data protectors can help safeguard your stored data, protecting both your business and your clients’ sensitive information.
Part 1 Recap
Part 1 of this mini-series on uploading sensitive data risk-free introduced the concept of AI-driven data protectors as a way to automate the discovery, prioritization, and remediation of at-risk data. The primary goal of such data protection software is to both facilitate regulation compliance and streamline companies’ data-intensive workflows.
We already know that such AI data protectors are great at flagging potentially hazardous data, but automatically classifying each instance according to risk evaluation is just as important, especially from an efficiency standpoint.
Automatic Risk Classification
We learned about the remediation options in Part 1, so now we can discuss the actual backbone of this important feature. Any high-quality data protector will let you set custom parameters for what you consider the highest priority. It does this by placing each instance of potentially at-risk data into one of four categories: CRITICAL, HIGH, LOW, and NONE.
You can then tell the data protector how to react to uploaded data of each type. For instance, you may want to review any CRITICAL data yourself, considering its high importance. If a client or employee is uploading unencrypted customer social security numbers, then you’ll be glad the data protector catches it, lights it up in red, and brings your attention to the issue so it can be fixed immediately.
But such automatic risk classification works both ways. If an incredibly long and labor-intensive document is uploaded by a client, quickly scanned by the data protector software, and reported as LOW priority, you’ll then again be glad you didn’t have to manually review the text yourself. This is a great timesaver.
Sensitive Data Security
Another feature of a trustworthy AI-driven data protector is its level of security. A data protector that scans uploaded data but doesn’t catch every instance of at-risk information or even leaks it to unauthorized people is worse than useless.
That’s why the ideal AI data protector is self-hosted and fully secure. “Self-hosted” means the data protector is deployed within a company’s own infrastructure—on their servers or in their private cloud.
With no external API calls, all the sensitive uploaded and stored data stays fully under that company’s control, ensuring compliance with security and privacy regulations.
Additional Features
And last but not least, the kind of AI data protector you’ll want integrated into your system and workflows is one that benefits from the following additional features:
- Compatible with all commonly used file formats (400+ file types),
- Scans for sensitive data in emails, databases, and structured & unstructured files,
Built-in OCR and facial recognition AI, ideal for images and pictures.
AI Data Protectors Make Life Easier
The final takeaway from this mini-series on how to upload sensitive data risk-free is that AI-driven data protectors do the heavy lifting to ensure businesses run smoother and safer.
It’s a special combination of both streamlined workflows and more secure data storages, and that goes for both regulatory compliance and mitigating data loss or leaks.
AI Data Protectors are the ideal tool for modern business. And if your company has yet to install one, then you have to ask yourself just one question: Who’s protecting your data?
Make Sensitive Data Security Easy and Automatic with the PII Tools AI Data Protector!
