Flame Tree Cyber is supporting Queensland University of Technology research into this question through the next stage of the GenAI for Risk Management project.
The first stage of the research explored the practical use of large language models in cybersecurity risk assessment. The research quantified risks including hallucinations, outdated information, inconsistent outputs, prompt bias and confidentiality concerns.
What’s next?
The next stage of the research focuses on how cybersecurity risk assessments are performed in real environments.
QUT is seeking input from Australian cybersecurity practitioners who have at least one year of experience performing risk assessments. The survey takes around 15 to 20 minutes and asks about the tools, processes and challenges practitioners see in practice.
This practitioner insight will help build a clearer view of what effective risk assessment looks like across Australian organisations.
It will also help inform future research into how GenAI can support risk assessment responsibly, with appropriate accountability, oversight and decision quality.
Who can participate
You can contribute if you are an Australian cybersecurity practitioner with at least one year of experience performing cybersecurity risk assessments.
The survey is designed for practitioners who can share practical insight from real environments, including the tools they use, the processes they follow and the challenges they encounter.
No personal information will be collected. Responses will be anonymised and aggregated, so the findings can support a broader view of cybersecurity risk management in Australia.
Complete the survey
You can complete the survey here: https://qsurvey.qut.edu.au/jfe/form/SV_4G8sKUvsnI3Qi22
For questions about the research, contact the QUT research team:
Atticus D’Mello
atticus.dmello@hdr.qut.edu.au