Armet AI

Secure GenAI Platform

Let AI innovation flourish without compromising data and AI security and compliance. Quickly get started with Armet AI and build on trusted insights from your enterprise data.

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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.

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.

Craig Matsumoto

Analyst

Craig Matsumoto

Analyst

As enterprises accelerate their adoption of GenAI, they continue to require scalable and proven solutions that will significantly minimize their data exposure risk.

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.

Greg Lavender

EVP and CTO

Craig Matsumoto

Analyst

Secure and Compliant Turnkey GenAI Solution

Businesses are eager to adopt GenAI, yet concerns about sensitive data exposure, getting untrusted responses, and introducing new vulnerabilities remain. Armet AI is a secure GenAI pipeline, built on Confidential Computing. Every stage of the process—from data access and ingestion to vectorization, LLM inference, and response handling—occurs within secure enclaves. With Armet AI, you can now stop data and AI exposure, build enterprise-grade GenAI with trusted data, and unlock the benefits of AI in a safe and responsible way.

Key Capabilities

Confidential AI

Keep data and AI secure

Confidential Computing for a Trusted Execution Environment: Secure enclaves isolate and process data privately at the hardware level.
Data In-Use Protection: Sensitive data stays encrypted even in-use, thwarting unauthorized access.
Hardware-Based Security: Built on Intel SGX,TDX, and TiberTrust Services and Nvidia GPUs ensures encrypted execution and integrity checks.
Privacy-Preserving AI: Enables secure AI training and inference without exposing raw data or model internals.

AI Guardrails

Stop data leaks and block malicious tampering

Data Sanitization: Automatically identify, redact, or tokenize sensitive information before it enters the AI pipeline, ensuring privacy and regulatory compliance.
Prompt Security: Safeguard against direct (injection attacks) and indirect (subtle manipulations) threats by enforcing strict prompt design and validation.
Hallucination Detection: Continuously monitor model outputs to spot and measure factual inaccuracies or “hallucinations,” preserving reliability and trust.
Policy Enforcement: Implement guardrails that govern AI behavior, maintain adherence to organizational policies, and mitigate risks from unchecked model responses.

Data and AI Governance

Foster safe and ethical use of AI

Consistent RBAC: Map source-level Role-Based Access Controls directly into projects, preserving the same permissions.
Collaborative Frameworks: Establish project-based work units that compartmentalize data access and collaboration.
Custom Roles: Create specialized roles to finely tune permissions and ensure proper data governance.
Scalable Control: Centrally manage and scale access rules across diverse data sets and user groups.

End-to-End Data Security

Put an end to data exposure.

Data At-Rest: Zero trust data encryption and security safeguards stored information.
Data In-Motion: Encrypted transit enforces zero trust principles across networks.
Data In-Use: Confidential Computing with Trusted Execution Environments secures active workloads.
Holistic Coverage: Protects all data stages—storage, transit, and processing—from end to end.

Holistic Compliance

Avoid fines and build customer trust.

Regulatory Alignment: Adhere to GDPR, EU AI Act, and similar global standards.
End-to-End Encryption: Protect PII, PCI, PHI, and other sensitive data across all stages.
SOC 2 & Beyond: Meet a broad spectrum of industry and security compliance requirements.
Comprehensive Coverage: Enforce consistent policies to ensure seamless, organization-wide compliance.

API-First

Drive speed and agility.

Enterprise Data Connectors: Integrate seamlessly with major enterprise applications.
API-First Architecture: Standardize data reads/writes for simpler development and scaling.
Streamlined Data Access: Minimize complexity by exposing and consuming data through open APIs.
Custom Generative AI: Build tailored AI solutions leveraging robust API capabilities.

How Fortanix Helps

Al Medical Research GenAl Assistant

Customer Insights and Fraud Detection with GenAl Assistant

Customer Service and Support GenAl Assistant

GenAl Assistant For Request for Proposals (RFPs)

What Can You Do with Armet AI?

The Fortanix Difference

The entire Fortanix data and AI security stack runs on Confidential Computing, providing a Trusted Execution Environment for uncompromised security, privacy, and trust. Built-in AI guardrails identify and anonymize sensitive data before it goes into the AI pipeline, driving regulatory compliance and AI governance.