
Christopher Hamilton
Christopher is a cyber security professional working at WTW. He has graduated from an accelerated master's program at the University of Queensland.
Christopher has conducted research into explainable AI technologies and their implementation in network intrusion detection systems, showing how they can increase transparency in AI decision processes for cyber security. A key component of his research included analysing AI decision-making under realistic threat models that closely mimic real-world cyber threat landscapes.
At WTW, Christopher brings his technical expertise working with clients to understand their technology risks across their organisation, providing risk management and insurance solutions.
The risks boards should know about AI… but don’t
Treating AI as one monolithic risk category leads boards to apply generic controls that miss how differently AI systems actually behave, fail and expose data.
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