Topic: Trust but Verify: Human Oversight in AI-Powered Financial Security
Abstract: Artificial intelligence is transforming financial security by enabling organizations to detect fraud faster, automate compliance monitoring, identify anomalous transactions, and respond to threats in real time. However, as AI systems take on increasingly critical decision-making responsibilities, the risks of false positives, biased outcomes, model drift, and adversarial manipulation make human oversight more important than ever. The current webinar explores how financial institutions can strike the right balance between AI-driven automation and human expertise. The webinar discusses where AI delivers the greatest value, where human judgment remains essential, and how governance frameworks, explainability, and continuous monitoring help ensure trustworthy financial security operations. Join us to gain insights into practical strategies for building resilient, transparent, and accountable AI-enabled financial security programs without sacrificing speed or accuracy.
The current webinar explores the need for security leaders to rethink defense strategies in an AI-driven cloud environment. From securing AI models, data pipelines, and APIs to addressing risks such as prompt injection, model manipulation, and shadow AI, the webinar will examine why conventional approaches are no longer sufficient.
The webinar will also highlight the shift toward adaptive, intelligence-driven security frameworks, including zero-trust principles, continuous validation, and AI-augmented threat detection. Join us to gain insights into building resilient cloud security programs that align with evolving compliance requirements while enabling innovation.
Key Takeaways:
- Role of AI in modern financial security, including fraud detection, transaction monitoring, and risk assessment
- Limitations of autonomous AI systems and the importance of human oversight
- Best practices for implementing Human-in-the-Loop (HITL) workflows that balance automation with expert review
- Governance, explainability, and auditability techniques that improve trust in AI-powered FinServ operations.
- Strategies to mitigate AI-specific risks such as adversarial attacks, model drift, bias, and hallucinations
- Building AI-enabled financial security programs that meet regulatory and compliance requirements while maintaining operational efficiency
Speaker:
Uzairah Abdulhameed, Cyber Compliance & Audit at Govt Entity-KSA
Bio: Uzairah Abdulhameed is a cybersecurity governance, risk, and compliance professional with over eight years of experience helping financial institutions and government organizations strengthen cyber resilience and regulatory compliance. Her expertise includes Cybersecurity and Counter-Fraud Frameworks, cybersecurity governance, threat intelligence, fraud prevention, and security maturity assessments. Beyond consulting, she is an active public speaker and cybersecurity awareness advocate, delivering talks and training on cyber resilience, cyber defense in Saudi Arabia, responsible AI adoption, anti-fraud strategies, digital trust, and building the human firewall. Passionate about making cybersecurity accessible to diverse audiences, she promotes a practical approach where people, processes, and technology work together to create resilient organizations. Her work emphasizes that while AI is transforming financial services, trust must always be reinforced through verification, governance, and informed human decision-making.
