Deepgram and Fortanix today announced a partnership that will enable enterprises to run voice AI in their own environment on their own terms while ensuring their most sensitive data is securely protected. Under terms of the agreement, Deepgram can leverage Fortanix Confidential AI and NVIDIA Confidential Computing to add an additional layer of advanced security to self-hosted environments to ensure that its proprietary model weights, built on business-critical intellectual property, can be deployed while protecting against model theft or inappropriate use. With this announcement, Deepgram and Fortanix continue to raise the bar for model-in-use protection in the most security-sensitive on-prem environments, enabling increased voice AI adoption in highly regulated industries.
For enterprises, especially those in highly regulated industries, security requirements continue to tighten. Organizations handling patient conversations, financial transactions, or classified information increasingly require that sensitive audio and AI model weights remain protected not only at rest and in transit, but also during active processing in their own environments. This level of protection enables organizations to build highly-secure real-time voice applications without sacrificing on performance.
The on-premises solution runs Deepgram’s voice AI models with Fortanix Confidential AI on NVIDIA Confidential Computing-enabled GPUs, creating a hardware-isolated environment where both audio data and model weights remain encrypted and protected throughout active use. NVIDIA GPUs with Confidential Computing enable AI workloads to process sensitive data inside a trusted execution environment — a capability traditional infrastructure cannot provide. By bringing together best-in-class voice AI models, hardware-rooted isolation, and a jointly engineered, pre-integrated stack, the partnership delivers a level of in-use data protection that, until now, has not been practical to deploy at enterprise scale.
The Deepgram, Fortanix, and NVIDIA solution opens the door to a variety of on-prem security-demanding voice AI applications: private, on-prem voice agents handling sensitive customer and patient interactions; enterprise-wide transcription layers that capture every call, meeting, and internal conversation for analytics, compliance, and search; and voice-enabled IT, operations, and service desk applications running entirely inside an organization’s secure perimeter. For regulated enterprises, this turns voice into a production-ready interface without sacrificing the real-time performance the experience demands.
Deepgram’s voice AI models deliver the real-time voice understanding and generation with the accuracy, consistency, and low latency that enterprise use demands. Designed for any environment including those with the highest confidentiality and regulatory needs, Deepgram’s models bring voice AI to enterprise organizations across virtually every industry vertical, including those with sensitive, regulated use cases that have historically been out of reach.
Fortanix Confidential AI protects data and AI model weights while they’re actively running. It builds on NVIDIA GPUs with Confidential Computing to create Trusted Execution Environments (TEEs) that isolate the AI workload from the underlying infrastructure and OS. Data and AI models run safely inside Confidential Computing, encrypted in memory, and inaccessible to the host operating system or even privileged administrators. As a result, regulated organizations can unlock AI innovation with trust, security, and sovereignty at the core, while meeting HIPAA, GDPR, and national-data residency requirements.
To learn more, please reach out to Deepgram at: partners@deepgram.com.
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This entry was posted on June 1, 2026 at 9:22 am and is filed under Commentary with tags Deepgram. You can follow any responses to this entry through the RSS 2.0 feed.
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Deepgram Delivers Private Voice AI to Regulated Industries with On-Premises Deployments Powered by Fortanix Confidential AI and NVIDIA Confidential Computing
Deepgram and Fortanix today announced a partnership that will enable enterprises to run voice AI in their own environment on their own terms while ensuring their most sensitive data is securely protected. Under terms of the agreement, Deepgram can leverage Fortanix Confidential AI and NVIDIA Confidential Computing to add an additional layer of advanced security to self-hosted environments to ensure that its proprietary model weights, built on business-critical intellectual property, can be deployed while protecting against model theft or inappropriate use. With this announcement, Deepgram and Fortanix continue to raise the bar for model-in-use protection in the most security-sensitive on-prem environments, enabling increased voice AI adoption in highly regulated industries.
For enterprises, especially those in highly regulated industries, security requirements continue to tighten. Organizations handling patient conversations, financial transactions, or classified information increasingly require that sensitive audio and AI model weights remain protected not only at rest and in transit, but also during active processing in their own environments. This level of protection enables organizations to build highly-secure real-time voice applications without sacrificing on performance.
The on-premises solution runs Deepgram’s voice AI models with Fortanix Confidential AI on NVIDIA Confidential Computing-enabled GPUs, creating a hardware-isolated environment where both audio data and model weights remain encrypted and protected throughout active use. NVIDIA GPUs with Confidential Computing enable AI workloads to process sensitive data inside a trusted execution environment — a capability traditional infrastructure cannot provide. By bringing together best-in-class voice AI models, hardware-rooted isolation, and a jointly engineered, pre-integrated stack, the partnership delivers a level of in-use data protection that, until now, has not been practical to deploy at enterprise scale.
The Deepgram, Fortanix, and NVIDIA solution opens the door to a variety of on-prem security-demanding voice AI applications: private, on-prem voice agents handling sensitive customer and patient interactions; enterprise-wide transcription layers that capture every call, meeting, and internal conversation for analytics, compliance, and search; and voice-enabled IT, operations, and service desk applications running entirely inside an organization’s secure perimeter. For regulated enterprises, this turns voice into a production-ready interface without sacrificing the real-time performance the experience demands.
Deepgram’s voice AI models deliver the real-time voice understanding and generation with the accuracy, consistency, and low latency that enterprise use demands. Designed for any environment including those with the highest confidentiality and regulatory needs, Deepgram’s models bring voice AI to enterprise organizations across virtually every industry vertical, including those with sensitive, regulated use cases that have historically been out of reach.
Fortanix Confidential AI protects data and AI model weights while they’re actively running. It builds on NVIDIA GPUs with Confidential Computing to create Trusted Execution Environments (TEEs) that isolate the AI workload from the underlying infrastructure and OS. Data and AI models run safely inside Confidential Computing, encrypted in memory, and inaccessible to the host operating system or even privileged administrators. As a result, regulated organizations can unlock AI innovation with trust, security, and sovereignty at the core, while meeting HIPAA, GDPR, and national-data residency requirements.
To learn more, please reach out to Deepgram at: partners@deepgram.com.
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This entry was posted on June 1, 2026 at 9:22 am and is filed under Commentary with tags Deepgram. You can follow any responses to this entry through the RSS 2.0 feed. You can leave a response, or trackback from your own site.