Jens Christian Opdenbusch (Ruhr University Bochum), Jonas Hielscher (Ruhr University Bochum), M. Angela Sasse (Ruhr University Bochum, University College London)

Boards are increasingly required to oversee the cybersecurity risks of their organizations. To make informed decisions, board members have to rely on the information given to them, which could come from their Chief Information Security Officers (CISOs), the reports of executives, audits, and regulations.
However, little is known about how boards decide after receiving such information and how their relationship with other stakeholders shapes those decisions. Here, we present the results of an in-depth interview study with n=18 C-level managers, board members, CISOs, and C-level consultants of some of the largest UK-based companies.
Our findings suggest that a power imbalance exists: board members will often not ask the right questions to executives and CISOs since they fear being exposed as IT novices. This ultimately makes boards highly dependent on those providing them with cybersecurity information, leading to losing their oversight function. Furthermore, cybersecurity risk is abstracted to budget decisions with no further involvement in cybersecurity strategies through boards.
We discuss possible ways to strengthen boards' oversight functions, such as releasing industry benchmarks through public cyber agencies or implementing support structures within the company - such as standing (cybersecurity) risk and audit committees.

View More Papers

Hidden and Lost Control: on Security Design Risks in...

Haoqiang Wang, Yiwei Fang (Institute of Information Engineering, Chinese Academy of Sciences; School of Cyber Security, University of Chinese Academy of Sciences; Indiana University Bloomington), Yichen Liu (Indiana University Bloomington), Ze Jin (Institute of Information Engineering, Chinese Academy of Sciences; School of Cyber Security, University of Chinese Academy of Sciences; Indiana University Bloomington), Emma Delph…

Read More

DShield: Defending against Backdoor Attacks on Graph Neural Networks...

Hao Yu (National University of Defense Technology), Chuan Ma (Chongqing University), Xinhang Wan (National University of Defense Technology), Jun Wang (National University of Defense Technology), Tao Xiang (Chongqing University), Meng Shen (Beijing Institute of Technology, Beijing, China), Xinwang Liu (National University of Defense Technology)

Read More

ASGARD: Protecting On-Device Deep Neural Networks with Virtualization-Based Trusted...

Myungsuk Moon (Yonsei University), Minhee Kim (Yonsei University), Joonkyo Jung (Yonsei University), Dokyung Song (Yonsei University)

Read More

Reinforcement Unlearning

Dayong Ye (University of Technology Sydney), Tianqing Zhu (City University of Macau), Congcong Zhu (City University of Macau), Derui Wang (CSIRO’s Data61), Kun Gao (University of Technology Sydney), Zewei Shi (CSIRO’s Data61), Sheng Shen (Torrens University Australia), Wanlei Zhou (City University of Macau), Minhui Xue (CSIRO's Data61)

Read More