Session 3.4e Update: Organisational Security Policy: The Weak Link in Machine Learning Ops (MLOps)?
Tracks
| Thursday, November 16, 2023 |
| 11:30 AM - 12:30 PM |
| Sutherland Theatre |
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While the use of machine learning (ML) offers a lot of promise to organisations, industry studies suggest that many ML projects are unsuccessful. Part of the problem is often in the operationalisation of ML (MLOps). While a lot of attention is paid to getting the right tool set to deliver an ML model into production, less effort tends to be spent on understanding how ways of working across the organisation need to adapt to ensure security risks are managed. To use a familiar trope - secure MLOps is not just about the technology and tools being used, but also about policies, processes, and people.
This talk examines organisational security in the context of MLOps, exploring the policy decisions that need to be made about risk, automated decision making, the use of digital twins, legal requirements around data, and the need for people with ‘T’-shaped skills.
Speaker/s
Professor Debi Ashenden
Professor Of Cyber Security
University Of Adelaide
Debi holds the DST Group-University of Adelaide Joint Chair in Cyber Security. In addition, she is Professor of Cyber Security at the University of Portsmouth (UK) and a Visiting Professor at Royal Holloway, University of London. Debi was previously Head of the Centre for Cyber Security at Cranfield University at the Defence Academy of the UK. Her research interests are in the organisational and behavioural aspects of cybersecurity – particularly in finding ways of ‘patching with people’ as well as technology. She is currently researching how to fuse behavioural science with cyber deception, and secure MLOps.
