Insider Threats and AI: A Panel Recap from Austin's Startup Week

Today, I joined a panel at Austin Startup Week with my colleague Bruce Coughlin to discuss "How Unsupervised Neural Networking Roots Out Insider Threats." The conversation, steered by moderator Adam Lipman from Ecliptic Capital, took place at the Capital Factory here in Austin, Texas—an ideal setting for a forward-thinking cybersecurity discussion.

We kicked off our panel by explaining the concepts of supervised and unsupervised neural networks and how unsupervised neural networks are able to autonomously sniff out irregularities that might signal a threat. We delved into how these sophisticated AI systems analyze raw data without the need for prior labeling, thus revealing concealed risks.

 

Our discussion then branched out into the myriad of insider threats, unpacking the varied motivations, after which, the conversation turned to addressing the complexities of detecting these threats, heightened by the insiders' inherent access and trust within an organization.

 

We shared examples from the real world, demonstrating the application of these advanced technologies, and capped off the session by examining a spectrum of preventative strategies that go beyond mere tools, emphasizing that fortifying an organization's defenses against insider threats requires a robust blend of policy-making and cultural shifts within the workplace.

 

The session wrapped up with an engaging Q&A, with fantastic audience participation. 

 

Finally, a shout-out to McKesson for sponsoring the event and sincere thanks to the Capital Factory for hosting us. Special thanks go to Adam Lipman for his excellent moderation, which was pivotal in navigating such a critical subject. The facilities at the Capital Factory provided an ideal backdrop for our discussion, and the support from all involved in bringing this event to life is much appreciated.

 

I am looking forward to future opportunities to connect and discuss the complexities of cybersecurity with everyone!

Pete
Pete Slade
November 7, 2023