- Help Center
- Troubleshooting & FAQs
- Artificial Intelligence & Machine Learning
-
Getting Started
-
Platform Overview
-
Scanning & Testing
-
Troubleshooting Asset Blockers
-
Vulnerability Management
-
Attack Surface Management
-
Continuous Threat Exposure Management (CTEM)
-
Integrations
-
Reporting
-
Security Best Practices
-
Advanced Features & Customizations
-
Troubleshooting & FAQs
-
Updates & Announcements
How does Edgescan utilise Artificial Intelligence (AI) & Machine Learning (ML)?
Edgescan uses a combination of ML and AI in many of our processes and technology. We have broken down the most common use-cases below.
Version Number: v1.0.1
Published Date: 17 Apr 2024
____________________________________________________________________________
Machine Learning:
Vulnerability scan times
As we've completed hundreds of thousands of Vulnerability Scans in the last few years, we've all of the data assoicated with the types of scenarios and how long a Vulnerability Scan will take to completed. We have used this to provide a predicted scan time in the Asset scanning page.
Artificial Intelligence:
Customer Friendly Documentation
At Edgescan we are using generative AI in our documentation generation. We found that using AI allowed is to create a more concierge style user-experience. As an engineering organisation, we have to very deep pool of technology knowledge, and this always hasn't transferred to our platform documentation. Gen-AI allows us to better communicate with our users.