Retail CISOs Take on More Risk to Foster Innovation

CISOs in consumer and retail organizations appear to accept greater risks to allow for more innovation, which could be a model for future growth.

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At a Glance

  • CISOs are increasingly seen as enablers of innovation, particularly in retail, where nearly all CISOs embrace this role.
  • This shift is driven by the need for innovation in areas like AI and data-driven customer experiences.
  • Retailers are transforming into data-driven companies, using AI to enhance customer experiences and innovate.

Chief information security officers (CISOs) have long borne the reputation of blocking innovation to keep their organization and all its data safe and sound.

However, those competing priorities appear to be shifting, especially in the retail and consumer sectors. While the majority of CISOs (59%) across all sectors see themselves as "enablers" — as opposed to just managers of cyber-risk — nearly all (97%) CISOs in the retail segment view their role as an enabler, according to a survey of more than 1,000 global CISOs conducted by cybersecurity firm Netskope. As a result, CISOs' acceptance of risk has grown, with the majority of all CISOs ready to take on more risk compared with five years ago. For the retail sector, the share of risk-embracing CISOs is even higher (74%).

The pressure on companies to innovate — and CISOs' understanding of their role in making that happen — are driving CISOs to become risk-takers, Netskope CISO James Robinson says.

"Typically, you had someone who was really, really technical, and they were working through things, but they really didn't have that business side of the brain — knowing the business metrics and data," he says. "CISOs have moved from the need to say no and maybe even taken it a step further — saying the answer is always, "Yes, just how do we get there?'"

Related:ITPro Today’s 2024 IT Priorities Report

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About the Authors

Robert Lemos

Dark Reading, Contributing writer

Robert Lemos is a veteran technology journalist and a former research engineer. He's written for more than two dozen publications, including CNET, Dark Reading, MIT's Technology Review, Popular Science and Wired News. He has won five awards for journalism and crunches numbers on various trends using Python and R. 

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