Security and IT teams are routinely forced to adopt software before fully understanding the security risks. And AI tools are no exception.
Employees and business leaders alike are flocking to generative AI software and similar programs, often unaware of the major SaaS security vulnerabilities they’re introducing into the enterprise. A February 2023 generative AI survey of 1,000 executives revealed that 49% of respondents use ChatGPT now, and 30% plan to tap into the ubiquitous generative AI tool soon. Ninety-nine percent of those using ChatGPT claimed some form of cost-savings, and 25% attested to reducing expenses by $75,000 or more. As the researchers conducted this survey a mere three months after ChatGPT’s general availability, today’s ChatGPT and AI tool usage is undoubtedly higher.
Security and risk teams are already overwhelmed protecting their SaaS estate (which has now become the operating system of business) from common vulnerabilities such as misconfigurations and over permissioned users. This leaves little bandwidth to assess the AI tool threat landscape, unsanctioned AI tools currently in use, and the implications for SaaS security.
With threats emerging outside and inside organizations, CISOs and their teams must understand the most relevant AI tool risks to SaaS systems — and how to mitigate them.
images from Hacker News
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