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Leverage the power of AI for your threat intelligence OSINT needs with machine learning models and Leo Web Alerts.
The core of the Feedly threat intelligence engine is a set of machine learning models that automatically gather, analyze and prioritize intelligence from millions of sources in near real time. We call these machine learning models Leo Concepts. Examples of Leo Concepts are vulnerabilities, cyber attacks, threat actors, malware, families, mitre attack techniques and tactics, indicators of compromise and many more. You can use Leo Concepts to create personalized feeds that track specific threats and topics across the web. These AI powered feeds are called Leo Web Alerts.
In this video, I'm going to show you four popular threat intelligence use cases for Leo Web Alerts.
0:00 Introduction
0:10 What are Leo Concepts?
0:28 What is a Leo Web Alert?
0:45 How can I make a Leo Web Alert?
1:23 Three step process for creating your first Leo Web Alert
1:56 Use Case 1: Monitor critical vulnerabilities and zero-days
2:56 Leo Concepts vs Keyword Searches
4:48 Use Case 2: Track threat actors and malware
6:19 Use Case 3: Understand threats in your industry
7:14 Use Case 4: Track niche cybersecurity topics
7:38 Upcoming new Leo Concepts roadmap
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