4 Ways CISOs Can Manage Use In The Enterprise
CIO, Monday, December 18,2023
AI's speedy evolution and daily use cases are arriving at an accelerated pace. Leaders must acknowledge the risks and uncertainty of AI use in their organization as it is used to drive potential business value.
Over the summer, I wrote a column about how CIOs are worried about the informal rise of generative AI in the enterprise. That column may have been the understatement of the year.
Since then, many CIOs I've spoken with have grappled with enterprise data security and privacy issues around AI usage in their companies. A primary fear is that employees, partners, and organizational stakeholders might share everything from private data to source code into public large language models (LLMs), expose proprietary information and intellectual property, or reveal vulnerabilities to exploit. Other fears cover compliance with emerging AI regulations and the risk of models becoming contaminated or biased through adversarial attacks.