How can the Fintech sector ensure secure client data processing?

Generative AI and Large Language Models (LLMs) are transforming Fintech, but they also pose significant data protection risks. LLMs retain learned information, raising concerns about handling sensitive data. Fintech companies must implement strong data protection programmes to maintain trust with consumers, partners, and regulators.

This webinar explores key data privacy challenges and strategies to foster trust in AI while balancing innovation and compliance.

We will equip Fintech firms to address current and future challenges by:

- Deciphering PDPA Compliance: Understanding its specific application within the Fintech context.

- Analysing PDPC Enforcement Trends: Gaining insights from real-world enforcement cases.

- Addressing Generative AI's Data Protection Implications: Examining the technology’s unique risks and mitigation strategies.

- Ensuring Vendor Compliance: Providing practical guidance on secure third-party vendor management and PDPA adherence.

- Securing Data in the Cloud: Sharing best practices for robust personal data protection in cloud environments.

- Automating Data Protection: Introducing DPOinBOX.AI – Live Demonstration: Showcasing a transformative tool for Data Protection Officers.

- Getting Ready for the Next steps: Offering valuable resources, tools and courses to support your data protection journey.

Join us for an insightful discussion on how fFintech companies can proactively manage regulatory risks, build trust, and leverage generative AI responsibly in an era of rapid technological advancement.