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Max AI Security

This page covers security and privacy for Max AI, MachineMetrics' natural language interface for production intelligence. For how to use Max AI, see the Max AI Guide.

What is Max AI?​

Max AI enables users to unlock real-time production intelligence through a natural language interface. Users can ask questions in plain English and receive contextual, data-driven answers—surfacing downtime drivers, cost breakdowns, and performance trends without dashboards or technical skills. Max AI leverages MachineMetrics' real-time production data and an intelligent query engine to interpret questions, retrieve relevant machine/job data, and return summaries, charts, or breakdowns.

Security & Privacy Overview​

MachineMetrics AI is designed with privacy, scalability, and security at the forefront. All AI capabilities operate entirely within our private AWS infrastructure using a robust agentic architecture and foundation models via AWS Bedrock.

Cloud-Native AI via AWS Bedrock​

All AI capabilities at MachineMetrics are built on AWS Bedrock, which provides access to foundation models while maintaining enterprise-grade controls. We exclusively use models via AWS Bedrock, ensuring that:

  • Customer data never leaves our private AWS tenant
  • No third-party service or external LLM provider has access to user inputs or model responses
  • This approach supports data sovereignty and security for industrial workflows

Agentic Architecture Within a Virtual Private Cloud​

MachineMetrics employs an agentic architecture hosted inside the same Virtual Private Cloud (VPC) that houses our core application infrastructure. This architecture orchestrates:

  • Multi-step reasoning workflows
  • Intelligent task decomposition
  • Dynamic model selection and routing

These agents are containerized, stateless, and operate in an isolated manner, ensuring secure and auditable interactions with customer data.

Models in Use​

The AI system invokes foundation models made available through AWS Bedrock. Model selection is dynamically managed by our agentic architecture, ensuring that all inference is performed securely within our private cloud. This strategy maintains our commitment to data privacy, compliance, and performance.

Inference Security and Privacy​

All inference happens within our private AWS tenant. Specifically:

  • Customer prompts, telemetry, and any derived artifacts remain isolated
  • Inference logs are stored in compliance with our internal security policies
  • No customer data is used to train or fine-tune models

This control mechanism aligns with the security expectations of enterprise manufacturing customers and privacy requirements such as GDPR.

How AI Data Flows​

┌─────────────────┐     ┌──────────────────┐     ┌────────────────────┐
│  Your Data      │────▶│  MachineMetrics  │────▶│  AWS Bedrock       │
│  (in our VPC)   │     │  AI Agents       │     │  (in our VPC)      │
└─────────────────┘     └──────────────────┘     └────────────────────┘
                              │
                              ▼
                        Results returned
                        (data stays in VPC)

Summary​

MachineMetrics delivers AI capabilities by combining a secure, cloud-native infrastructure with foundation models and intelligent agents. Through exclusive use of AWS Bedrock and full isolation within our VPC, we keep your data private, secure, and within our platform—enabling real-time AI on the factory floor without exposing data to third parties or external AI providers.