Built on Intel Confidential Computing and Intel Tiber Trust Authority, Armet AI Provides End-to-End Data and AI Pipeline Security
Fortanix Inc., a leader in data-first cybersecurity and a Confidential Computing pioneer, today announced the public preview of Fortanix Armet AI. Today, it’s imperative for organizations to take advantage of generative AI (GenAI) technology, but most organizations don’t view off-the-shelf solutions as a viable option due to the risk of security failures that expose sensitive data and intellectual property, malicious tampering that undermines AI trustworthiness, and limited datasets that produce inaccurate outputs. Do-it-yourself solutions can also be complex, costly, and resource-intensive—on average it can take more than 8.5 months for an enterprise to build a GenAI solution, with upfront costs reaching as high as $20 million, according to Gartner.
Also Read: How Edge Computing is Accelerating AI Workloads for Enterprises
Fortanix Armet AI addresses these challenges with a secure, turnkey GenAI platform. Out of the box, Armet AI ensures GenAI data pipelines adhere to some of the highest levels of security and some of the most comprehensive regulatory and compliance standards, empowering users to get instant, relevant answers using their organization’s own internal and sensitive data. In public preview now, Fortanix Armet AI is powered by Confidential Computing (Intel(R) SGX and Intel(R) TDX) and Intel Tiber(R) Trust(TM) Authority, part of the company’s suite of trust and security services, and Microsoft Azure’s NCC H100 v5 confidential VMs with NVIDIA H100 Tensor Core GPUs. This foundation protects data in use by performing computation in a hardware-based, attested, trusted execution environment (TEE), preventing unauthorized access or the ability to alter data.
“Armet AI satisfies a need in the market for organizations to securely build custom generative AI applications while ensuring data security, privacy, governance and compliance,” said Craig Matsumoto, Analyst, Futuriom. “The desire for organizations to quickly deploy GenAI that’s tailored to their specific needs is exploding, but in doing so, they need to prioritize the security of their data and large language models to ensure compliance and reduce risk.”
“Generative AI represents a significant leap forward with the immense promise to reshape how organizations harness and act upon their data,” said Anand Kashyap, CEO and co-founder at Fortanix. “While it’s natural to be wary of emerging cyber threats, regulatory pressures, and reputational risks, Fortanix Armet AI offers a fast path forward: secure, instant access to internal knowledge that propels informed decision-making without compromising compliance or trust. Fortanix Armet AI redefines the very nature of GenAI, empowering enterprises to innovate boldly, protect vital information, and ultimately set new standards for responsible AI adoption.”
“As enterprises accelerate their adoption of GenAI, they continue to require scalable and proven solutions that will significantly minimize their data exposure risk,” said Greg Lavender, EVP and CTO of Intel. “Armet AI and Intel provide a powerful combination of trusted technology that delivers tangible business value by protecting data from a variety of threat vectors while ensuring confidentiality and compliance.”
Also Read: Edge Computing vs. Cloud AI: Striking the Right Balance for Enterprise AI Workloads
Key features of Fortanix Armet AI include:
- World-class security: Confidential Computing provides end-to-end AI pipeline security to protect data and LLMs, securing data at rest, data in motion, and data in use.
- Role-based access control: Maintain data governance and regulatory compliance with fine-grained access policies that define who can train, use, and see specific data.
- AI guardrails: Ensures data and model security by identifying and redacting sensitive data and filtering harmful inputs and outputs for secure GenAI operations.
- Rest APIs and pre-built connectors: Bring data from any source to a collaborative hub to derive insights and foster seamless knowledge sharing.
- Secure chat interface: Enables knowledge team members to have secure and private conversations with their internal documents.
- GenAI security dashboard: Enhances your AI governance and helps organizations avoid risks with real-time monitoring and actionable insights.
Fortanix Armet AI is available on Azure.
“Fortanix has been an early adopter of Azure Confidential Computing since 2020,” said Mark Russinovich, CTO, Deputy CISO and Technical Fellow, Microsoft Azure. “Fortanix’s use of Azure confidential VMs with NVIDIA H100 Tensor Core GPUs in Armet AI is another example of their ability to make Confidential Computing, and now Confidential AI, available to a broader audience.”
“CIOs, CTOs, and CISOs at large enterprises say that GenAI adoption is challenging due to the lack of security measures,” said Anuj Jaiswal, CPO at Fortanix. “We built Armet AI on Confidential Computing to ensure sensitive data and IP are always protected as our customers look to adopt and realize value from GenAI use cases. In fact, early adopters have already experienced ROI as they deploy Armet AI at scale in their organization because it equips them with the benefits of GenAI using their own sensitive and proprietary data, including the enterprise-grade data security they need, all in a turnkey solution.”
What Early Adopters Are Saying
Industries with data at their core, such as financial services, healthcare, and public sector organizations are some of the early adopters experiencing the benefits of Armet AI.
“Generative AI is attractive to improve enterprise efficiency, but it is critical to have a solution that will mitigate the risk of data leakage, data compromise, compliance violation & new cyberthreats evolving as we adopt Gen AI,” said Naga Devupalli, Vice President – Architect, Data Security at Standard Chartered Bank. “Data Security principles are equally applicable for Gen AI as well.”
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