Research proves bans are ineffective
PHILIPPINES – 20 October 2023 – ExtraHop®, a leader in cloud-native network detection and response (NDR), today released The Generative AI Tipping Point, a new research report that found enterprises are struggling to understand and address the security concerns that come with employee generative AI use.
The report, which analyzes organizations’ plans for securing and governing the use of generative AI tools, details cognitive dissonance among security leaders as the technology increasingly becomes a mainstay at work. According to the findings, 73% of IT and security leaders admit their employees use generative AI tools or Large Language Models (LLM) sometimes or frequently at work, yet, they aren’t sure how to appropriately address security risks.
Security isn’t the top priority
When asked, IT and security leaders are more concerned about getting inaccurate or nonsensical responses (40%) than security-centric issues, like exposure of customer and employee personal identifiable information (PII) (36%), exposure of trade secrets (33%), and financial loss (25%).
Generative AI bans prove ineffective
Almost a third (32%) of respondents shared that their organization has banned the use of generative AI tools, a similar proportion to those who are very confident in their ability to protect against AI threats (36%). Despite these bans, only 5% say employees never use these tools at work, signaling that they are ineffective.
Organizations want more guidance – especially from the government
Although nearly three-quarters (74%) surveyed have invested or are planning to invest in generative AI protections or security measures this year, IT and security leaders want more guidance. A majority (90%) of respondents want the government involved in some way, with 60% favoring mandatory regulations and 30% supporting government standards that businesses can adopt at their own discretion.
Basic hygiene is lacking
More than four in five (82%) are very or somewhat confident their current security stack can protect against threats from generative AI tools. However, less than half
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