How to improve threat intelligence with data analytics

Not displaying correctly? View in Browser › — WHITE PAPER — How Automation, Analytics, and Machine Learning Improve and Accelerate Threat Analysis Read now The cybersecurity industry is increasingly producing enormous amounts of raw threat data. The sheer volume of information threat researchers must sift through makes it difficult to collect, analyze, and research that data in a timely manner. This in turn limits their ability to understand what data is valid and useful and whether threat artifacts will result in legitimate threat indicators. This white paper will discuss the following topics: How data analytics and machine learning power threat analysis Machine learning models From threat artifact to threat intelligence With this information of data analytics, automation, and machine learning models, threat researchers have the tools needed to help deal with the enormous (and growing) volume of threat data. Learn more >     Stories from the SOC Check out our blog series that describes recent real-world security incident investigations conducted and reported by the AT&T SOC analyst team for AT&T Managed Threat Detection and Response customers. Read more > Privacy Policy | Terms of Use This email was sent to dasmith1973.blog@blogger.com. If you do not wish to receive future commercial email messages from AT&T Cybersecurity (formerly AlienVault, Inc.) or wish to change your email preferences, please follow this link, or send notice to: AT&T Cybersecurity Digital Marketing, 1100 Park Place, Suite 300, San Mateo, CA 94403. This is an AT&T Cybersecurity promotional email. If you are an existing AT&T Cybersecurity customer, you may still receive transactional e-mail messages concerning your current products or services. © 2021 AT&T Intellectual Property. All rights reserved. AT&T, The AT&T logo and all other AT&T marks contained herein are trademarks of AT&T Intellectual Property and/or AT&T affiliated companies.