Armet AI is a secure GenAI platform designed to help organizations build custom generative AI applications while ensuring data security, privacy, governance, and compliance. It leverages confidential computing to protect sensitive data and AI models, providing a trusted execution environment for all stages of the AI pipeline.

Features

• Confidential Computing: Secure enclaves isolate and process data privately at the hardware level, ensuring data in-use protection and thwarting unauthorized access.
• Hardware-Based Security: Built on Intel SGX, TDX, and TiberTrust Services, and Nvidia GPUs, ensuring encrypted execution and integrity checks.
• Privacy-Preserving AI: Enables secure AI training and inference without exposing raw data or model internals.
• 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 and indirect 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.
• 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.
• End-to-End Data Security: Protects data at-rest, in-motion, and in-use with zero trust principles and confidential computing.
• Regulatory Alignment: Adhere to GDPR, EU AI Act, and similar global standards, ensuring comprehensive compliance.

Benefits

• Privacy Compliance: Meets stringent privacy regulations across regions and industries.
• Secure Deployment: Protects intellectual property of AI models deployed in the cloud.
• Ease of Use: Simplifies infrastructure provisioning and deployment with a managed service.
• Data Utilization: Allows access to and use of private data within secure environments for model training and prediction.
• Audit and Compliance: Provides audit logs and hardware-backed proofs to ensure compliance with regulatory requirements.