AI in Fuzz Testing
Failed to add items
Add to basket failed.
Add to Wish List failed.
Remove from Wish List failed.
Follow podcast failed
Unfollow podcast failed
AI in Fuzz Testing
-
Narrated by:
-
By:
About this listen
AI is a hot topic within and outside of the workplace. In this episode, Zachariah (Zane) Pelletier, Service Manager for Enterprise and ICS Security Services in the Americas at ETAS is joined by Irina Nicolae, Research Scientist at the Bosch Center for Artificial Intelligence, to talk about the use of AI in fuzz testing. After taking us through an overview of fuzz testing and challenges associated with it, Zane and Irina talk about the use of AI in fuzz testing.
The two then take us through the history and current status of a project using AI in fuzz testing, including models used and how they were chosen, considerations in programming the language/libraries, upfront work that was required before getting started, the importance of data, fine tuning once the testing was underway, and a peek into their results.
In the ever-evolving world of automotive and testing technologies, this is a valuable discussion on one of the key trends.
Tell us what you think - send us a text message!
Thanks for listening!
- Email us at: contact.us@etas.com
- Learn more about ETAS on our website
- Follow us on LinkedIn: @ETAS