Power Your Cyber Threat Intelligence Program with Machine Learning

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<h2>Employ Machine Learning In Your Security Stack to Bolster Your Defenses Against Cyber Attacks</h2> <p>Over the years, cyber threat intelligence (CTI) has evolved in order to exploit the potential offered by various machine learning applications. By understanding the intersection between machine learning and CTI, organizations are better positioned to prevent and respond to cyber attacks. We see examples of this in machine learning algorithms that provide enrichment of threat context, help in the prioritizing of threats, and perform historical evaluations of events. This presentation explores both the usage of threat intelligence as a mechanism for informing analytic applications and machine learning as a source for generating and improving the accuracy of threat intelligence. In this webinar, Joe Gehrke, Solutions Architect at Anomali, covers the following:</p> <ul> <li>Evolution of machine learning in cybersecurity</li> <li>Relevance at each layer of the Pyramid of Pain</li> <li>New applications with Natural Language Processing (NLP)</li> <li>Key takeaways</li> </ul> <h3>Start unleashing the power of machine learning today.</h3>
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