Machine Learning for Security Analysts

Presented at CactusCon 11 (2023), Jan. 28, 2023, 5 p.m. (120 minutes).

Today, over a quarter of security products for detection have some form of machine learning built in. However, “machine learning” is nothing more than a mysterious buzzword for many security analysts. In order to properly deploy and manage these products, analysts will need to understand how the machine learning components operate to ensure they are working efficiently. In this talk, we will dive head first into building and training our own security-related models using the 7-step machine learning process. No environment setup is necessary, but Python experience is strongly encouraged.

Presenters:

• GTKlondike - AI Village organizer
  The AI Village is a community of hackers and data scientists working to educate the world on the use and abuse of artificial intelligence in security and privacy. We are not sponsored by any one company, and it is our mission to maintain it as such as the community grows. We have a presence at DEF CON, the world’s longest running and largest underground hacking conference.

Links:

• https://cactuscon-11.sessionize.com/session/394978
• https://cactuscon-11.sessionize.com/session/b7030daa-8b5d-4d61-81cd-cc31dab44849
• https://cactuscon-11.sessionize.com/session/f9c5a23c-5247-41f8-93b6-ba4bda2b291e

Similar Presentations:

• Black Hat USA 2016 / Applied Machine Learning for Data Exfil and Other Fun Topics
• BSidesLV 2017 / The New Cat and Mouse Game: Attacking and Defending Machine Learning Based Software
• ShmooCon XI (2015) / Practical Machine Learning for Network Security