Overview
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Explore the critical security challenges and vulnerabilities facing AI-driven financial systems in this 12-minute conference talk from Conf42 KN 2025. Begin with real-world examples of AI vulnerabilities in finance, then examine the evolution and inherent risks of artificial intelligence implementation in financial services. Learn about adversarial attacks and data poisoning techniques that threaten AI models, understand cloud vulnerabilities and the complexities they introduce to financial AI systems, and discover how human factors contribute to AI security risks. Dive into strategies for building resilience through multiple security pillars, explore the importance of explainable AI and multi-layered defense mechanisms, and understand governance frameworks for managing future challenges in AI-driven finance. Gain insights into comprehensive approaches for securing financial AI systems against emerging threats while maintaining operational effectiveness and regulatory compliance.
Syllabus
00:00 Introduction and Speaker Background
00:26 Securing AI-Driven Finance: An Overview
00:38 Real-World Example: AI Vulnerabilities
01:39 The Evolution and Risks of AI in Finance
03:26 Adversarial Attacks and Data Poisoning
05:15 Cloud Vulnerabilities and Complexities
07:14 Human Factors in AI Security
08:10 Building Resilience: Strategies and Pillars
09:03 Explainable AI and Multi-Layered Defense
10:18 Governance and Future Challenges
11:33 Conclusion and Final Thoughts
Taught by
Conf42