Turn Concepts Into
Safely Deployable Code

Skip the security debt and go straight from an idea to a secure, LLM-ready prompt.

Map your concept with natural language or an MCP assistant to generate a structured system prompt that embeds cryptographic identity, data privacy, and a zero-attack surface directly into your LLM-generated code—and save weeks of manual security setup.

Learn How AI Architect Works for Your Role

Developer

Keep your AI development workflow exactly as it is. Get code that is secure-by-design, with no need to retrofit architecture, manage complex security infrastructure, or risk introducing shadow AI into your organization.

CISO

Lock down permitted data paths, privacy boundaries, agent authority, and kill-switch policies in the design itself, not the remediation cycle. Open the gate to continuous innovation.

CTO

Route secure-by-design architecture and agent governance controls straight into the prompt, without changing how developers work. This is the fast-track to CTO and CISO alignment.

How to Embed Secure-by-Design Into Your Code

[01]

Prompt or Map

Start your blueprint using drag and drop in the canvas or bring an existing prompt through an MCP interface using an AI assistant like Claude to automatically define your prompt graphically on the canvas.

[02]

Visual node modeling

An intuitive canvas where teams collaborate to refine their system architecture as a natural language blueprint. Drag and drop node boxes to represent your AI agents’, users’ and interfaces’ behavior, draw lines between them to map out how data flows, and explicitly define what information each agent can access and what privilege and authority it has to act.

[03]

Prompt exporter

The workspace automatically translates that finalized visual map into a precise and structured JSON prompt. This prompt provides the exact operational constraints and context and ‘thinking time’ your coding LLM needs to build your safely deployable MVP.

[04]

Inherited platform security

Because the resulting code communications is natively protected by Atsign, the final application automatically inherits foundational security protections like verified cryptographic identities and no open inbound ports, making your agentics completely invisible to bad actors (including frontier AI models) and protected against agent drift.

Video Demo

From Prompt to Secure-by-Design Blueprint

See how Atsign AI Architect helps teams design enterprise AI agents with governance, permissions, approval workflows, and communication boundaries defined before code is generated.

In this demo, an IT Help Desk Agent is modeled visually, showing exactly what it can access, what requires human approval, and how it interacts with approved systems.

Create Your First Natural
Language Architecture Blueprint

Open the workspace to visually map your application data flows, configure your governance boundaries, and export a custom prompt for your LLM.

Want a custom architecture session? Connect with Our Team