The Ultimate 2025 Guide: Machine Learning’s Impact on Data Discovery
HawkShield
About:
Handling data has become a big challenge for many organizations. There is so much data being made every day, making it tough to organize and use it properly. Many businesses still use old ways that can't handle the speed and complexity of today’s data.
One of the biggest problems is shadow data, which is lost or forgotten data that increases the risk of security issues. Studies show that 68% of security professionals see shadow data as their top concern. This problem becomes worse when there aren’t enough tools or skilled people to manage it.
The good news is that technologies like artificial intelligence (AI) and machine learning (ML) are transforming how companies handle data discovery and classification. These tools make it faster and easier to organize and protect data while improving security and efficiency.
But first, let’s look at how machine learning can improve data discovery and see what HawkShield AI offers to manage data using machine learning.
How AI/ML Helps Find Data Faster:
As most people know, Data discovery is the process of finding relevant sensitive data and understanding what type of data it is. This could be in the cloud, apps, or on your computer. AI makes this much faster and more accurate. It can look through a lot of data quickly, finding patterns and connections that would take people much longer to notice.
A big problem companies face is the data that’s lost or forgotten but still dangerous. AI can find this hidden data, keep it safe, or delete it, helping prevent security problems like data breaches.
Sorting Data with Machine Learning:
Data classification means sorting your data into groups based on what it is and how important it is. For example, some data might be sensitive or private, while other data might be safe to share.
Machine learning helps by recognizing patterns and automatically sorting the data. For example, it can automatically group emails into categories like private or restricted.
The use of advanced tools like machine learning algorithms (decision trees, random forests, and neural networks) and natural language processing (NLP) makes this process even smarter.
NLP helps AI to understand text or speech, while other methods can add extra information to help classify data.
Machine learning can also classify important information, like personal or financial details, more accurately. This saves time and helps protect the company’s sensitive
Harnessing Data Discovery and Classification with HawkShield AI:
HawkShield AI uses advanced machine learning to enhance data discovery and classification. It automatically identifies and organizes sensitive data across cloud platforms like AWS, Azure, and GCP.
By analyzing data, HawkShield AI helps businesses manage risks, meet security requirements, and improve protection. With this technology, companies can track their data’s movement, apply the right security measures, and ensure proper handling, making data discovery and classification easier and more secure.
Summary
To ensure a secure and seamless data management process, incorporating HawkShield AI can significantly boost your data discovery capabilities. It offers automated, scalable, and precise data discovery to safeguard your data across all stages of its lifecycle.
