The Future of Cybersecurity & AI: Innovation, Risk, and Leadership in Retail with Wendy Ng, BISO at Marks & Spencer

In this exciting season finale of The CXO Secrets podcast, host David McClelland sits down with Wendy Ng, Business Information Security Officer (BISO) at Marks & Spencer, to explore the evolving role of cybersecurity in a rapidly changing digital world. Wendy shares her unique career journey from genetics and computational biology to cybersecurity leadership, highlighting how her analytical mindset helps her navigate risk, security, and innovation. She discusses the critical role of a BISO in bridging the gap between business and technology, ensuring security is embedded in every aspect of retail operations. With AI and automation transforming industries, Wendy emphasizes the importance of humans as the “orchestrators” of technology, directing AI to solve real-world challenges while balancing security, efficiency, and business needs. She also provides insights into managing risk in retail, the power of curiosity in leadership, and strategies for effectively communicating security priorities to executives. Tune in for an engaging discussion on cybersecurity, AI, and the future of digital transformation as Wendy shares her secrets to success and lessons for the next generation of security leaders.

Wendy Ng

BISO

Marks and Spencer

Experienced security business leader with a strong background in technology strategy, cloud security, and DevSecOps. Proven track record in leading and managing teams, developing and implementing secure technology strategies, and aligning them with business objectives. Adept at communicating complex technical issues to senior management and fostering an enabling technology and security culture within organisations. Demonstrated commitment to advancing the technology field through community contributions, including 100 articles and blogs for organisations such as the Cloud Security Alliance and Deloitte UK. Delivered keynote addresses for events at the United Nations, Black Hat, and the Financial Times. Technical acumen honed through experiences in architecture and systems design at Cisco, PwC, and Deloitte. Practical experience in machine learning and artificial intelligence, which underpins LLMs and MLLM. Scientific training with a doctorate from the University of Oxford.

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