Episode #16: Security Teams and the Board with Megan Haas
“Recognize the need for this ongoing technical competency but equally integrate and align the humanistic skills.”
— Megan Haas
Megan Haas is a former Cyber and Forensic Services Partner at PricewaterhouseCoopers (PwC) with over 30 years’ experience in Information Risk Management and Assurance and core competencies centered around Governance, Risk, Information Technology and Cyber Security.
After spending many years advising audit committees and specialising in business and Information Technology processes and controls, she turned her focus to increasing stakeholder confidence and governance of cyber security and privacy, anti-fraud and corruption risks, compliance and post-incident remediation. Her current board roles include RMIT University, Development Victoria and the Advisory Board of the University of Melbourne Academic Centre for Cyber Security Excellence.
During this episode, Megan will share insight into her 30+ years of experience working in the cyber security sector. Learn how organisations can retain long-term high caliber talent while attracting an appropriate level of gender diversity in the workplace. Find out ways board members can better understand security teams' roles and responsibilities.
Link:
Time Stamps:
00:31 - Megan Haas background and introduction
06:01 - What was security teams like for clients around the world
07:21 - Hiring principles to follow for building the proper team
10:27 - Gender diversity in the workplace
11:27 - “Those individuals doing the interviewing need to reflect the diversity of thinking.” - Megan Haas
14:29 - How organisations can retain long-term high caliber talent
16:23 - Understanding what security teams are doing as a board member
16:49 - “There's been a real shift in understanding the concepts around cyber risk.” - Megan Haas
18:56 - Advice to those inspired to run a security team
20:04 - “Recognize the need for this ongoing technical competency but equally integrate and align the humanistic skills.” - Megan Haas