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White paper – AI Governance and Data Leakage in Enterprises

THE CURRENT LANDSCAPE OF AI IN ENTERPRISES
In 2023, it is estimated that enterprises worldwide invested around $151 billion in Artificial Intelligence [1]. As AI technologies advance at an unprecedented pace, enterprises are adopting them to maintain competitive advantages in their industries. Approximately “64% of CEOs say they’re facing significant pressure from investors, creditors, and lenders to speed the adoption of generative AI” [2]. AI is transforming the business landscape by assisting with forecasting, optimization, innovation, market expansion, fraud detection, and customer engagement [3][4]. It is critical to note that these sophisticated applications of AI systems are possible largely because of the vast amounts of data used to train models.

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THE CURRENT LANDSCAPE OF
AI IN ENTERPRISES

In 2023, it is estimated that enterprises worldwide invested around $151 billion in Artificial
Intelligence [1]. As AI technologies advance at an unprecedented pace, enterprises are adopting
them to maintain competitive advantages in their industries. Approximately “64% of CEOs say
they’re facing significant pressure from investors, creditors, and lenders to speed the adoption
of generative AI” [2]. AI is transforming the business landscape by assisting with forecasting,
optimization, innovation, market expansion, fraud detection, and customer engagement [3][4]. It
is critical to note that these sophisticated applications of AI systems are possible largely
because of the vast amounts of data used to train models.

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Insights & Updates from Polygraf.

Blog posts

Enterprise AI is moving from experimentation to accountability. As organizations scale AI in production, the focus is shifting from raw capability to efficiency, cost control, and operational sustainability. Energy usage,

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Enterprise AI has entered a more pragmatic phase. CFOs are questioning initiatives they can’t cost-control or risk-model, while CISOs are blocking LLM deployments that require sensitive data to leave the

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