From a foundation in industrial mathematics to a global cybersecurity leader, my career has been marked by curiosity, resilience, and a commitment to meaningful impact.
With over a decade of experience as a cybersecurity professional, doctorate researcher, and advocate for diversity in tech, I am passionate about helping individuals and organisations build resilience and thrive in today’s complex world.
Felicia might be the most hardworking professional I've ever had the fortune to work alongside. As a BA she was methodical and detailed, as a management team member she was an inspirational leader, as a line manager she had the perfect blend of mentorship and discipline.
I’ve had the pleasure of working with Felicia for the past few years across a number of high profile projects at Sky. Felicia really does have it all, she is incredibly knowledgeable, helpful, friendly, collaborative… the list goes on forever!
Felicia comes highly recommended and will be a great asset to any team or organisation. She is a consummate business analysis professional. A brilliant mind, great team player, leader and manager.
A proficient professional, polished intellectual, with a sound understanding of business strategies and processes. A team player who is very objective yet empathic. Very relentless and will never give up till a project is completed . In her own words " I have to Land this".
As Artificial Intelligence (AI) continues to evolve, its integration into various industries raises significant privacy and data protection concerns. Understanding the types of AI, their differences from traditional systems, and the best practices for safeguarding data is essential for ensuring responsible development and deployment. Here are the key insights to consider for navigating AI development while maintaining robust data privacy.
AI ranges from Narrow AI for specific tasks (e.g., recommendation systems) to theoretical concepts like General AI and Self-Aware AI. Each type brings unique capabilities and challenges.
Unlike rule-based systems, AI's data-driven nature introduces complex privacy and security risks. Effective governance and compliance frameworks like the EU AI Act are crucial.
Protect data with encryption, test models for accuracy, and adopt privacy-by-design principles. Continuous governance ensures AI remains ethical, secure, and compliant.
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I love LinkedIn, but it’s more than just a networking platform. If you’re looking for insights into tech, cybersecurity, and much more, along with thought-provoking discussions, then do connect with me and explore!
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~ Mark Kitching, Director Of Engineering ~