Toby Lewis is a Cyber Security Expert with a career that began within the British Intelligence Services. He was a founding member of the National Cyber Security Centre and now leads an international team of Cyber Security Analysts for British AI & Cyber Security firm, Darktrace. His career has been punctuated by major Cyber Security events, initially working on the threat from Nation State espionage until WannaCry transformed the Cyber Crime landscape into one dominated by Ransomware.

Toby has delivered keynote speeches at flagship conferences on Cyber Security, sharing his experiences working at the sharp end, combating major Cyber Security incidents and providing insights into the cyber threat landscape. He has provided expert commentary for mainstream broadcast news and print media, on topics ranging from the benefits and risks associated with Artificial Intelligence, to joining BBC Radio 5 Live on the morning of the Russian invasion of Ukraine to discuss the potential use of Cyber Weapons by the two countries.

Since joining Darktrace at the start of 2021, Toby has been at the forefront of the real-world application of AI and Machine Learning within Cybersecurity, drawing on his Artificial Intelligence expertise and a deep understanding of the value in the right type of AI for the right application and the human factors around building confidence within organisations as they begin their journey with AI. With the AI explosion associated with ChatGPT, this also means engaging in a much more informed debate, balancing out the hype and catastrophisers with a pragmatic view of this new technology.

War stories gathered over nearly 20 years in Cyber Security allow Toby to provide an accessible introduction to the intersections of technology, geopolitics and cybersecurity, as well as deeper expertise on topics such as the application of Artificial Intelligence in cyber security, and what really happens when hackers get access to your network.

Cybersecurity, Data, Big Data, Data Analytics, Privacy, Artificial Intelligence, Computer Science, Ethics & Integrity, Business Ethics, Technology, Machine Learning