M.A.T.C.H Webinar: Threat modeling AI and ML systems

MATCH up your security and compliance efforts.
During this fireside discussion, you will get insights on:
M = Machine Learning
A = Artificial Intelligence
T = Threat Modeling
C - Compliance
H - How the heck all of these link together!
Join industry experts Dr. Gary McGraw, Siebe De Roovere, Neil Serebryany, and Stephen de Vries.
In this engaging session, we'll delve into crucial topics shaping the landscape of digital security today. From developing secure code and legislation considerations to threat modeling machine learning and AI systems. Learn how threat modeling can be integrated with compliance efforts, ensuring that your software not only meets the highest security standards but also aligns with industry-specific requirements.
Gain valuable insights into the proactive approach of 'secure by design' and the critical role threat modeling plays in building robust and resilient software - even for Artificial Intelligence (AI) and Machine Learning (ML) systems.
Speakers:
Dr. Gary McGraw
Siebe De Roovere
Neil Serebryany
Video Sections:
00:00 Introduction
00:06 Welcome and Overview
00:21 What is MATCH?
00:40 Introduction of Panelists
01:35 First Published Threat Model on AI
02:31 Start of Discussion
03:00 Interactive Q&A
03:30 Defining AI Security
04:00 Key Points to Take Away
04:50 Poll: Are You Using AI Systems?
05:35 Gary McGraw on Novel AI Risks
07:00 Top 10 Risks in Large Language Models
09:00 Data Trustworthiness and Curation
10:00 Transfer Learning and Black Box Opacity
12:00 Neil Ciresi on AI Security Challenges
15:00 Future of AI in Enterprise
17:00 Poll Results: Using AI Systems
18:00 Regulation in EU and US
19:00 Importance of AI Regulation
22:00 Executive Orders and Standards
25:00 Data Feudalism and AI
28:00 China’s AI Legislation
30:00 NIST Standards for AI
33:00 Threat Modeling for AI
35:00 Future of AI Security
40:00 Panel Discussion on AI's Future
45:00 Audience Q&A
50:00 Closing Remarks
55:00 End of Webinar
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