Mpho Moseki
Profile Summary
Mpho Moseki is a qualified Metallurgical Engineer with experience in production management and delivering continuous improvement projects. She started her career in the Mining Industry where she deepened her skills for managing process transformation strategies and Six Sigma methodologies which she leveraged to pivot into the banking industry. Her qualifications include a Master of Engineering and a MPhil in Development Finance. She has been at Standard Bank for over 10 years. She has a strong background in partnering with technology teams to implement new market trends and innovations. She is dedicated to advancing the development of Africa, inclusion and diversity. She contributed to the Data Sovereignty Sub-Capability in the Cloud Data Management Capabilities Framework (CDMC) of the Enterprise Data Management Council (EDMC) and is a contributor in the AI, Data & Analytics Controls (ADAC) working group. In the Bank, she worked closely with the SBSA Data Privacy Office to implement Direct Marketing Consent in CIB and to drive standardisation of the consent management process through the Africa Regions Consent Management Working Group. She has been part of cloud journey discussions in Standard Bank focusing on cloud governance. Outside work she enjoys running.
Session Description
Panel Discussion: Cybersecurity in the Age of Data & AI - Challenges and Opportunities
As AI and data become central to modern business operations, they introduce new cybersecurity risks and challenges. The integration of AI technologies creates vulnerabilities, such as AI-driven cyberattacks, deepfakes, and automated exploits that - left alone - can outpace traditional security measures. Additionally, the vast amounts of sensitive data being collected and processed heighten concerns about privacy, potential data breaches, and compliance with global regulations. A growing issue is data sovereignty, as the development of widely available AI models is often geographically concentrated, with the applications and systems into which said AI models are integrated typically hosted in geographically dispersed data centers (often in a different country from the deploying company and users). This raises questions around jurisdiction, ownership, and the security of cross-border data flows.
At the same time, AI presents significant opportunities to strengthen cybersecurity. AI-powered systems can enhance threat detection, automate incident response, and predict potential vulnerabilities before they are exploited. These innovations allow businesses to proactively safeguard their systems while improving efficiency and minimising risk. This panel will explore the balance between addressing the evolving challenges and harnessing AI's potential to build stronger, more resilient security frameworks. Experts will share insights on practical solutions, new technologies, and the regulatory landscape, providing valuable perspectives on how organizations can navigate the complex cybersecurity terrain in an age dominated by data and AI.
