Senior Security Engineer

Fortanix and CrowdStrike Partner to Secure Enterprise AI by Reducing Active Threats and Protecting Proprietary Models & Data in Memory Business Wire

L&T Vyoma and Fortanix partner to deliver Confidential Computing with NVIDIA technology. Larsen & Toubro Vyoma (L&T Vyoma), L&T's next-generation sovereign AI cloud and digital infrastructure business, has entered a strategic partnership with Fortanix Inc, a US-headquartered global leader in data and AI security and a pioneer in Confidential Computing. They will jointly deliver sovereign, secure software-as-a-service offerings for enterprises and government organisations in India. With AI adoption accelerating, the need for data sovereignty, regulatory compliance and runtime protection has become critical, particularly in regulated sectors such as banking, financial services, government and healthcare. Through this partnership, L&T Vyoma will provide sovereign AI infrastructure, including data centres, compute and networking, while Fortanix will secure the data and AI workloads in use by leveraging NVIDIA Confidential Computing. The collaboration will enable organisations to adopt AI and modern data services securely, while ensuring that sensitive data remains protected and compliant within India's borders. Commenting on the partnership, Prashant Chiranjive Jain, Managing Director - Larsen & Toubro Vyoma, said: "India's digital economy requires a strong foundation of sovereign infrastructure and secure AI capabilities. The partnership with Fortanix enables us to help organisations harness AI with confidence by ensuring that data remain protected within national boundaries while meeting the highest standards of security and compliance". Anand Kashyap, Co-founder & CEO - Fortanix Inc, said: "AI adoption isn't slowing down, but organisations are increasingly challenged to balance innovation with data sovereignty and security. Our partnership with L&T Vyoma brings together trusted infrastructure and Confidential Computing to enable enterprises in India use AI without exposing sensitive data or intellectual property". Justin Boitano, Vice President -Enterprise AI Products - NVIDIA, said: "Regulated industries racing to adopt AI need to maintain the highest standards for data sovereignty and security as they scale advanced AI models and agents. Bringing together NVIDIA Confidential Computing with L&T Vyoma's sovereign infrastructure and Fortanix's security platform creates a trusted foundation for securely deploying and managing mission-critical workloads in India". While traditional security approaches protect data at rest and in transit, they leave a critical gap during processing. Confidential Computing addresses this by securing the data in use through hardware-based Trusted Execution Environments, ensuring sensitive information remains encrypted and impenetrable even during computation. By integrating Confidential AI into L&T Vyoma's AI Factory model, the partnership enables secure deployment of AI models without exposing proprietary IP, protects sensitive enterprise and citizen data during processing, enables cryptographic verification of trusted environments and supports compliance with India's data sovereignty and regulatory requirements. L&T Vyoma and Fortanix will jointly develop sovereign AI and data security solutions, pursue co-selling initiatives across regulated industries and drive customer enablement through proof-of-concept and proof-of-value engagements. L&T Vyoma will also facilitate engagement with leading Indian AI model builders, strengthening the ecosystem for sovereign AI innovation. The partnership marks a significant step towards building a secure AI ecosystem in India, enabling organisations to innovate, while retaining full control over their data and models.

Deepgram partners with Fortanix and Nvidia for secure voice AI deployment in regulated industries. The collaboration brings confidential computing to real-time voice AI, keeping audio data and model weights encrypted even during active inference. Just now ago Voice AI has a trust problem in the industries that need it most. Hospitals, banks, and government agencies have spent years watching from the sidelines as consumer-facing AI tools race ahead, held back by a simple question: who else can hear what its AI hears? Deepgram is betting it has an answer. The voice AI company announced a partnership with Fortanix and Nvidia on June 1, 2026, to enable fully encrypted, on-premises voice AI deployments designed specifically for regulated industries. The core pitch: organizations can now run voice transcription, AI-powered customer support agents, and analytics tools while keeping both the audio data and the proprietary model weights encrypted during real-time inference. How confidential computing changes the game for voice AI. To understand why this matters, think about what normally happens when an AI model processes your voice. The audio gets decrypted so the model can analyze it, which creates a window of vulnerability. It's like a bank vault that has to open its doors every time someone needs to count the money inside. Confidential computing eliminates that window. The technology, built on Nvidia's Confidential Computing-enabled GPUs and powered by Fortanix's Confidential AI platform, allows Deepgram's models to process voice data while it remains encrypted. In English: the vault stays locked, but the money still gets counted. This applies to both sides of the equation. Sensitive audio, think patient conversations or financial advisory calls, stays protected. And Deepgram's proprietary model weights, the intellectual property baked into how its AI actually works, remain shielded from the organizations hosting them on-premises. Deepgram claims this is the first implementation of confidential computing in real-time voice AI applications. If that holds up, it positions the company at the front of a very specific but potentially enormous market: enterprises that want cutting-edge voice AI but can't or won't send sensitive audio to a third-party cloud. Building on an existing on-premises push. This announcement didn't come out of nowhere. Deepgram has been building toward secure deployment options for a while, offering on-premises and Virtual Private Cloud solutions as alternatives to its cloud API. The Fortanix and Nvidia partnership extends that strategy by adding a hardware-level encryption layer that goes beyond traditional network security. Just days earlier, on May 27, 2026, Deepgram announced a separate initiative around low-latency voice agents built on Nvidia's Nemotron technology. That release focused on speed. This one focuses on security. Together, they sketch out a product roadmap aimed at making Deepgram's voice AI fast enough and safe enough for the most demanding enterprise environments. The target use cases are straightforward: private on-premises voice agents that can handle customer interactions without data leaving the building, enterprise-grade transcription services for sensitive meetings and calls, and IT service desk tools that can automate support workflows while maintaining strict data governance. For healthcare organizations bound by HIPAA, financial institutions navigating a web of compliance requirements, and government agencies with strict data sovereignty mandates, these aren't nice-to-have features. They're prerequisites. For Fortanix, this collaboration extends their Confidential AI platform into voice, an area where the security stakes are arguably higher than in text-based AI. Voice data is inherently more personal, harder to anonymize, and often subject to stricter regulatory treatment than written communications. Disclosure: This article was edited by Editorial Team. For more information on how Cryptobriefing create and review content, see its Editorial Policy.