# Architecture Overview

<figure><img src="/files/RlkilfHACM0eSpYXnurK" alt=""><figcaption><p>Architecture Overview</p></figcaption></figure>

GoPlus Security Network is the open and verifiable infrastructure behind the GoPlus security layer for the AI era. It provides the risk intelligence, verified security data, runtime protection, and ecosystem coordination needed to protect AI agents, Web3 users, applications, wallets, chains, and security developers.

The network started with Web3 user security, where GoPlus built real-time risk intelligence, transaction protection, malicious asset detection, and on-chain security infrastructure across multiple chains. As AI agents become a new execution environment, the same security layer expands to protect runtime behavior, tool calls, command execution, credential access, URL interaction, package supply chains, and agent-to-Web3 workflows.

### Core Architecture

The GoPlus Security Layer is organized around three connected layers:

* **Security Intelligence**
* **Runtime Protection**
* **Security Data Network**

Together, these layers create a system that can understand risk, enforce policy before execution, and continuously improve through verified security data.

#### Security Intelligence

Security Intelligence is the risk engine behind GoPlus products. It evaluates assets, addresses, URLs, signatures, approvals, transactions, dApps, packages, commands, prompts, and agent actions.

This layer includes token security analysis, malicious address detection, phishing site detection, transaction simulation, approval and signature analysis, dApp security information, prompt-injection detection, credential leak detection, malicious command detection, URL analysis, package risk analysis, and supply-chain risk detection.

Security Intelligence produces structured risk signals that can be consumed by AgentGuard, GoPlus Web3 Security, DeepScan, SafeToken-related workflows, wallets, applications, and third-party integrations.

#### Runtime Protection

Runtime Protection applies security decisions before risky actions execute.

For AI agents, Runtime Protection is represented by AgentGuard. AgentGuard evaluates shell commands, file access, tool calls, URLs, package content, sensitive operations, and agent-to-Web3 actions before they run. It can allow, block, warn, or require approval based on policy and risk analysis.

For Web3, Runtime Protection is represented by Security RPC, on-chain firewall, browser extension, GoPlus APP, wallet integrations, dApp integrations, and other infrastructure integrations. These components analyze signatures, approvals, transactions, tokens, dApps, and addresses before users or agents submit high-risk on-chain actions.

#### Security Data Network

The Security Data Network collects, verifies, and distributes security data through open contribution and validation mechanisms. It supports malicious address data, phishing data, token risk data, dApp data, transaction risk data, signature risk data, agent threat data, package risk data, URL risk data, and other security intelligence inputs.

This data network is critical because risk detection is only as strong as the security data behind it. By supporting data contribution, verification, and ecosystem feedback, GoPlus improves the coverage, freshness, and credibility of the signals used across its products.

### Product and Integration Components

#### AgentGuard

AgentGuard is the AI agent runtime security product of GoPlus. It protects agent actions before they execute, including commands, file operations, URLs, tool calls, package scans, approval flows, transaction workflows, and audit timelines.

#### GoPlus Intelligence

GoPlus Intelligence is the shared risk engine used across the GoPlus security layer. It powers token analysis, malicious address detection, phishing detection, transaction simulation, signature analysis, approval analysis, dApp risk information, and agent-oriented risk detection.

#### Web3 Security Products

GoPlus Web3 Security includes DeepScan, SafeToken Protocol, transaction protection, Security RPC, on-chain firewall, GoPlus APP, browser extension, and infrastructure integrations. These products protect token launch, token audit, wallet activity, user transactions, dApp interaction, and chain-level execution paths.

#### Ecosystem and Governance

GoPlus Security Network is supported by users, developers, data contributors, security service providers, governance participants, and ecosystem partners. This ecosystem gives GoPlus a broad distribution path across chains, wallets, exchanges, DeFi protocols, launchpads, trading tools, data platforms, RPC providers, security partners, and infrastructure providers.

### Conclusion

GoPlus Security Network is evolving from a Web3 user security network into a broader security infrastructure for AI agents and Web3. By combining security intelligence, runtime protection, and a verified security data network, GoPlus provides a scalable foundation for protecting high-risk digital actions before they execute.


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