Detecting Malicious Domains Using Artificial Intelligence and Machine Learning

Cyberattacks are a top priority in most IT organizations; the risk associated with ransomware attacks, data breaches, business email compromise, and supply chain attacks has garnered that significant attention be made to IT resources and budget to address these threats. The challenge in building a comprehensive security strategy designed to prevent attacks is the ever-changing threat landscape.

In recent years, we’ve heard more and more about the use of Artificial Intelligence (AI) and Machine Learning (ML) to help make security efforts more current, effective, and responsive. But every vendor is claiming to use AI/ML today. It can create a ton of buzz and hype, reflecting the “state of the art,” but the question remains does it bring any practical value?

To help clear up the confusion, in this paper, we’ll provide a high-level definition of both AI and ML from a security perspective, as well as how to practically apply the principles of each to domains in an effort to demonstrate how they are used to spot malicious traffic before it becomes a problem.

In this paper we will cover:

  • Clear definitions of both artificial intelligence and machine learning
  • The value of applying artificial intelligence and machine learning to malicious domains
  • Proactive threat predictions and protection with machine learning

Please complete the form below to access this research:

Business E-mail Address

First Name

Last Name

Company

Job Role

Job Function

Company Size

Address

City

State/Province

Zip / Postal Code

Country

Business Phone Number

Your privacy is a top concern for us at Knowledge Hub Media. We’ll only use your personal information to provide you with the content, products and/or services you’ve requested from us. By entering your contact information and clicking on the “submit” button below, you are confirming that you have carefully read Knowledge Hub Media’s Terms of Use agreement, and Privacy Policy, and agree to be legally bound by all such terms.

Yes, I agree to the Terms of Use Agreement.

Yes, I agree to the Privacy Policy.

The third party vendor sponsoring this content may wish to contact you regarding products and/or services as they relate to this white paper/research. Please check the appropriate boxes below, indicating the ways in which you would like to receive communication from our third party affiliates:

Yes, I would like to receive communication by email.Yes, I would like to receive communication by telephone.Yes, I would like to receive communication by postal mail.

Knowledge Hub Media would also like to keep in touch regarding related content, white papers, business/technology research and upcoming events in your area of expertise. Please check the appropriate boxes below to opt-in:

Yes, Knowledge Hub Media may contact me via email.Yes, Knowledge Hub Media may contact me via telephone.Yes, Knowledge Hub Media may contact me via postal mail.

You can easily change your communication and consent preferences at any time. Opt-out of receiving communication from Knowledge Hub Media and/or our third party affiliates by easily updating your personally identifiable data and contact preferences here: Update Communication Preferences

Leave a Comment

This site uses Akismet to reduce spam. Learn how your comment data is processed.