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Operating around the theory that it takes and engineer to catch an engineer, many companies are now merging finely engineered artificial intelligence (AI) programming with security.

In fact a recent report reveals that two out of three companies are planning on adopting AI security solutions this year.

AI can efficiently analyze user behaviors, deduce a pattern, and identify all sorts of abnormalities or irregularities in the network. With such data, it’s much easier to identify cyber vulnerabilities quickly.

Systems engineers have developed or are in the process of developing AI security applications for just about every known type of cybercrime.  Take data breeches. Machine learning-based algorithms can be used to crawl through covert channels such as the deep or dark web and identify data that has been shared anonymously by malicious parties.

The last layer of the internet is the dark web. It’s more difficult to reach than the surface or deep web since it’s only accessible through special browsers such as the Tor Browser.

Although the deep web is only accessible through anonymized encrypted peer-to-peer communication channels, certain safeguards like CAPTCHA need to be applied. AI, in turn, can be deployed to fool these systems into believing that the agent which is collecting data is human and can range from solving simple captchas to using NLP to solicit invites to private communities of malicious parties. Using machine vision, images could be analyzed in real time.

Machine learning algorithms can also help destroy phishing schemes once and for all. This can be accomplished by ML algorithms classifying messages similarly to email spam filters.

The initial training data is crowd-sourced by users manually labeling messages or reporting suspicious links. Through the process of constant learning, ML algorithms can improve accuracy.

Want to know more? Tonex offers Cybersecurity Systems Engineering Training, a 3-day course that mainly views cybersecurity issues as a systems engineering problem and uses structural systems engineering approaches to identify and manage the risks.

Additionally, Tonex offers nearly three dozen more courses in Cybersecurity Foundation. This includes cutting edge courses like:

Automotive Cybersecurity Training (3 days)

Electric Grid Cybersecurity Master Certification (4 weeks)

Network Security Training (2 days)

Software Security Training (2 days)

ICS Cybersecurity Training (4 days)

For more information, questions, comments, contact us.

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