Organizations are increasingly leveraging Generative AI and Large Language Models (LLMs) to optimize business processes and improve products and services. A recent Gartner report predicts that global spending on AI software will grow to $298 billion by 2027, with a compound annual growth rate (CAGR) of 19.1%. Some may even be of the opinion that these figures are conservative.
From assets scanned by the Orca Cloud Security Platform, we found that over 37% of organizations have already adopted at least one AI service, with the highest use being Amazon SageMaker and Bedrock (68%) followed by Azure OpenAI (50%), and Vertex AI comes in third at 21%.
Along with all the great business benefits and improved products and services that AI brings, there is however one catch: security. In our 2024 State of Cloud Security Report, we found that 82% of Amazon SageMaker users have exposed notebooks, meaning that they are publicly accessible. Especially since AI models often include sensitive data and intellectual property in their training data, these cloud resources are at even higher potential risk than other resources. This has given rise to a new type of security need: AI Security...read more!
