State of Enterprise AI Deployment Report
AI requires organizations to move and process sensitive data across increasingly complex infrastructure. While traditional encryption protects data at rest and in transit, it does not protect data while it is being processed by AI, leaving organizations to navigate new risks around data exposure, privacy and security during inference.
To take a pulse on the current state of enterprise AI deployment, Fortanix commissioned Atomik Research to survey 300 AI leaders across banking, financial services, healthcare, insurance and government. We asked questions to gauge confidence in AI inference security, the obstacles preventing deployment on sensitive data, concerns around public cloud AI services, and the technologies that could increase confidence in secure AI deployment.
This report offers insight into the AI trust gap shaping enterprise deployment, including the security and compliance challenges organizations face, where they expect to run AI inference, and what would give leaders greater confidence to deploy AI on sensitive data.
Download the full report now to learn more about how AI leaders across regulated industries are approaching data security and working to close the trust gap in enterprise AI deployment.
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AI requires organizations to move and process sensitive data across increasingly complex infrastructure. While traditional encryption protects data at rest and in transit, it does not protect data while it is being processed by AI, leaving organizations to navigate new risks around data exposure, privacy and security during inference.
To take a pulse on the current state of enterprise AI deployment, Fortanix commissioned Atomik Research to survey 300 AI leaders across banking, financial services, healthcare, insurance and government. We asked questions to gauge confidence in AI inference security, the obstacles preventing deployment on sensitive data, concerns around public cloud AI services, and the technologies that could increase confidence in secure AI deployment.
This report offers insight into the AI trust gap shaping enterprise deployment, including the security and compliance challenges organizations face, where they expect to run AI inference, and what would give leaders greater confidence to deploy AI on sensitive data.
Download the full report now to learn more about how AI leaders across regulated industries are approaching data security and working to close the trust gap in enterprise AI deployment.
