IDS Case Study: Creating a Visual Model to Predict Vulnerabilities

By Keiter Technologies

IDS Case Study: Creating a Visual Model to Predict Vulnerabilities

How can I protect my customers from potential hacks?

Data Science can help you achieve your business goals with tailored advice specific to your organization. Learn more about how Keiter Data Solutions solved a similar problem for one of our clients in the below case study.

Challenge and Opportunity

A Keiter Technologies client, which had become a global leader in vulnerability intelligence, breach data and risk ratings wanted to create a new tool that provided its customers with actionable information about security vulnerabilities.


Our Approach

  • Detecting and defending against online security vulnerabilities is often a reactive practice after a hacking has already taken place.
  • Using current website HTML content, historical data, and data mapping, our team was able to create a model which anticipated when a potential hack could happen before it does.
  • The data is then delivered to the client’s customers through on online portal in simple, easy to understand visualizations so that can act to avoid a security breach.


The tool we created has become one of the client’s most successful products with nearly 30,000 customers being monitored for security.


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About the Author

Keiter Technologies

Keiter Technologies

Keiter Technologies focuses on serving businesses with their strategic technology needs through data science, cybersecurity, and IT audit and consulting.

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The information contained within this article is provided for informational purposes only and is current as of the date published. Online readers are advised not to act upon this information without seeking the service of a professional accountant, as this article is not a substitute for obtaining accounting, tax, or financial advice from a professional accountant.


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