Enterprise adoption of generative AI technologies has exploded in 2024 due to the rapid evolution of the technology and the emergence of a variety of business use cases. According to Menlo Ventures, AI spending surged to $13.8 billion this year, up six-fold from 2023, and 72% of US decision makers say they are expanding their adoption of gen AI tools.
But, with new technologies comes risks, and early adopters sometimes end up getting more than they bargained for when they deploy generative AI without proper precautions.
Large language models (LLMs) can accidentally produce harmful results, leak information, or become exposed to threat actors. These vulnerabilities are changing as the technology evolves — and as attackers find new ways to compromise systems. For enterprises, this means the risk of bad publicity, compliance or cybersecurity exposure, legal liability, or even class-action lawsuits.
