Ely Kahn mentions, 'The very tools and cloud services that simplify and accelerate GenAI adoption are simultaneously opening up a brand new attack surface and a potential regulatory risk.' This highlights the dual-edged nature of AI tools, emphasizing a critical need for robust security measures.
SentinelOne's AI-SPM acts as a safeguard against common pitfalls in GenAI adoption, stating, 'It detects all AI services, training, models, and pipelines running in Amazon SageMaker/Bedrock, Google Vertex AI, and Microsoft Azure OpenAI,' underscoring its preventative role.
By the end of 2024, it's noted that '65% of organizations are using generative AI for at least one business function,' reflecting the rapid integration of AI across various industries while also stressing the urgency for security solutions.
AI-SPM fits within SentinelOne's ambitious goal to protect an entire organization's infrastructure, where 'AI can extract data wherever it can,' indicating significant risks if appropriate safeguards are not implemented.
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