The document discusses the challenges organizations face in managing the growing complexity of data, particularly the issue of shadow data which poses security risks. It highlights how AI and machine learning can enhance data discovery and classification by automating the identification and organization of sensitive data, leading to improved security and efficiency. Hawkshield AI is presented as a solution that utilizes these technologies to help businesses effectively manage their data and meet security requirements.

1. The Ultimate 2025 Guide:
Machine Learning’s Impact on
Data Discovery
HawkShield

2. 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.

3. 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.

4. 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 data better.

5. 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.

6. 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.

7. www.hawkshield.ai
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