Applied Machine Learning for Cybersecurity

Arkose Labs utilises an in-house developed CAPTCHA to identify hostile actors that attack sites with fraud or other abuse. This CAPTCHA generates a large volume of data, about the users of the system, which can be used to make a prediction on the intentions of the user, based on historical actions. Although characterising these users is an ideal application for machine learning, there are several challenges in applying machine learning to this real-time system. These challenges will be discussed in this talk.

Bio:
Dr Gerald Hartig's expertise is focused on innovation in Data Science, with experience managing specialist teams across startups, listed companies and academic organisations. In his professional career he has had the opportunity to tackle highly complex problems in Mining, Telecommunications, Heavy Industries, *omics, Pharmaceutical Design & Development and Information Security. He is passionate about using technology, particularly artificial intelligence, to help organisations streamline their processes and enact evidence-based performance improvements: driving innovation, identifying new opportunities, improving profitability, and increasing customer satisfaction and wallet-share. Prior to joining Arkose Labs he was the Principal Data Scientist at the Canadian engineering consultancy Hatch and the Australian IT consultancy ASG Group, where he founded and managed their Data Science practices.

IMPORTANT NOTE: Meetups are free for QAIC members or $10 at the door (card). We will have people on arrival to check you in or register to be an annual member ($45) but, to make things easy, please register for a membership at https://brisbane.ai. Thanks :)

Agenda:
6:00pm Mingling, networking and nibbles
6:30pm Dr Gerald Hartig (Arkose Labs)
7:30pm Mingling continued

To get to the venue take the elevators from within the old TC Beirne Building up to level 2. Lift access will close at 6.30pm. Let us know if you plan on arriving later.