))
Exploring How AI May Change Identity Security in Finance
Manage episode 523823402 series 3520061
As AI systems become more autonomous, they are making real-time decisions, managing sensitive data, and interacting across increasingly complex identity environments. That shift raises new questions about access, control, and accountability.
In this episode of Trading Tomorrow – Navigating Trends in Capital Markets, host Jim Jockle speaks with Raz Rotenberg, the Co-founder & CEO at Fabrix Security. Rotenberg discusses how identity protection must evolve in AI-driven financial systems. He explains what an “AI native” approach to security means in practice, why context and reasoning are becoming central to identity management, and how regulated institutions can balance autonomy, privacy, and oversight as their AI capabilities advance.
Chapters
1. Setting The Stakes For AI In Finance (00:00:00)
2. Why Context At Scale Changes Identity (00:00:49)
3. What AI-Native Security Really Means (00:03:11)
4. Automation With Explainability, Not Black Boxes (00:04:37)
5. Defining The Identity Fabric (00:05:40)
6. Accountability And Human-Readable Reasoning (00:07:03)
7. Supercharging Users Without Changing Workflows (00:08:09)
8. Tackling Legacy Systems With AI (00:09:00)
9. Selling Into Regulated Giants Without Rip-And-Replace (00:10:41)
10. Regulations, Data Location, And Model Choices (00:11:51)
11. Start Small: Proving Value And Trust (00:12:57)
12. Calibrating Autonomy, Privacy, And Oversight (00:14:04)
13. Performance vs Explainability And Human-In-The-Loop (00:15:58)
14. The Shift To Agentic, Ever-Learning Permissions (00:17:13)
15. Trend Drop: Reasoning As The Missing Piece (00:18:35)
16. Closing And Listener CTA (00:19:42)
62 episodes
Share
