Reputational Risk Australia - 2017 Survey Report
Australia | Publication | September 2017
Reputational capital is the new black. Faced with changing consumer preferences, growing public mistrust and social media powered news, business leaders are highly sensitive to the pivotal role reputation plays in the success of each company.
In 2017, Norton Rose Fulbright surveyed business leaders across Australia with regard to reputational risk, and what it means for their respective organisations. The results outline the high awareness and good knowledge of different exposures that could results in reputational damage, but also point to certain areas for improvement.
Several strategies can help businesses manage reputational risk more effectively, and strengthen compliance across their corporate cultures:
- Maintain an open dialogue between board members, the executive team, general counsel and risk managers in order to have a more accurate, multi-faceted view of potential reputational threats, and a fit-for-purpose mitigation plan.
- Stress-test policies and processes against real-world risk scenarios regularly, and embed the learnings for continuous improvement. Constant monitoring is a critical part of ensuring compliance.
- Organise regular training for exposures that can result in reputational damage, ranging from cyber risk to ethical conduct and diversity. This can help further embed organisational values in your culture, and foster a culture of compliance.
To find out more about what reputational risk means to Australian organisations and benchmark your business against your peers, read our full report.
For more information, contact one of our risk advisory experts below.
Associated resources
List of pages
Recent publications

Publication
Infringement risk relating to creation and use of the output of a generative AI system
Where the Output of a generative AI system is the same or substantially similar to a third party’s copyright work

Publication
Is the output of the generative AI system protected by intellectual property rights?
The approach and requirements for intellectual property rights to subsist in computer-generated works vary from jurisdiction to jurisdiction.

Publication
Infringement risk relating to training a generative AI system
Generative AI systems are trained using vast amounts of data, often taken from sources in the public domain that may be protected by copyright or other intellectual property rights, such as, in the UK and EU, a database right.
Subscribe and stay up to date with the latest legal news, information and events . . .