Its core components include machine learning, deep learning, and natural language processing.
Machine learning focuses on algorithms that allow computers to learn from and make predictions based on data without being explicitly programmed for specific tasks.
Deep learning, a subset of machine learning, involves neural networks with many layers that process vast amounts of data in ways that mimic human thought processing.
Natural language processing (NLP) enables machines to understand, interpret, and respond to human language, bridging the gap between human communication and machine understanding.
The author's distinguished military career in Communications and IT provides for a strong foundation for my successful transition to cybersecurity, a field I find deeply rewarding. For over 20 years (or 23, depending on the source), they've been immersed in the world of digital security, developing and implementing robust controls to protect organizations from ever-evolving threats. Their experience includes working independently and with prominent organizations, including local and central government departments in the UK. A veteran of the UK Armed Forces, the author combines military discipline with deep industry expertise, offering insightful perspectives and a hands-on approach. They are passionate about sharing their knowledge and real-world experiences to illuminate the critical importance of cybersecurity in today's digital age, making complex topics accessible and engaging for all.