# Overview ### Mission Statement GoPlus is building the security layer for the AI era. ### What is GoPlus? GoPlus is the open security layer that protects AI agents, Web3 transactions, and other high-risk digital actions before they execute. AI agents are becoming active participants in digital economies. They browse the web, call tools, access files, manage credentials, write code, install packages, deploy software, and trigger transactions on behalf of users and organizations. As these agents scale, they will need security for runtime behavior, on-chain transactions, tool calls, credential access, code execution, package usage, plugin installation, and broader supply-chain dependencies. Web3 remains one of the clearest examples of why execution-time security matters. Malicious signatures, phishing sites, scam contracts, rug pulls, wallet drainers, risky approvals, and irreversible transactions continue to threaten users, wallets, applications, and chains. The same execution risks will become more severe when AI agents can operate wallets, route trades, deploy contracts, and interact with dApps at machine speed. GoPlus secures these environments through AI-powered risk intelligence, runtime protection, policy enforcement, verified security data, and open security services. Its mission is to make security a native layer of every autonomous action, whether that action is performed by a human user, an AI agent, a wallet, an application, or blockchain infrastructure. Since 2022, GoPlus has grown from a Web3 user security infrastructure provider into a broad security network. Its security APIs process tens of millions of daily requests, cover more than 30 blockchain networks, protect millions of wallets, identify malicious assets and addresses at scale, and are integrated by wallets, dApps, exchanges, infrastructure providers, RPC services, rollups, and developer platforms. This ecosystem gives GoPlus a strong distribution foundation across supported networks, wallets, exchanges, DeFi protocols, launchpads, trading tools, data platforms, RPC providers, security partners, and infrastructure providers. GoPlus will continue to support its Web3 security business while extending the same security-layer philosophy to the AI era. AgentGuard protects AI agent runtime behavior. GoPlus Intelligence powers risk analysis across agents and Web3. The GoPlus Security Network provides open security data, policy coordination, and verifiable security signals. Security RPC, on-chain firewall, wallet integrations, and infrastructure integrations protect Web3 transaction execution. DeepScan provides AI-powered token security audits. SafeToken Protocol standardizes secure asset issuance and liquidity protection. Together, these products form a unified security layer for AI agents and Web3. ### The New Security Problem Security risks are increasingly appearing at the moment of execution. Traditional security systems were designed for applications that followed deterministic workflows. They monitored endpoints, scanned code, checked access control, and detected suspicious activity after systems were already built. AI agents and Web3 interactions change this model. Both are action-driven environments where software can make high-impact decisions, compose multi-step workflows, and trigger irreversible operations. AI agents introduce a new runtime attack surface: {% hint style="warning" %} **Tool-call risk:** Agents can invoke shell commands, MCP tools, browser actions, cloud APIs, and deployment systems. A single unsafe tool call can leak secrets, modify production resources, or execute malicious code. {% endhint %} {% hint style="warning" %} **Prompt injection and context manipulation:** Agents can ingest untrusted web pages, files, repositories, messages, and tool outputs. Malicious instructions hidden in those inputs can redirect agent behavior or override user intent. {% endhint %} {% hint style="warning" %} **Credential and data exposure:** Agents often operate near sensitive assets such as `.env` files, private keys, API tokens, databases, customer data, and internal documents. Without runtime controls, sensitive data can be accessed, copied, or exfiltrated before a human reviewer notices. {% endhint %} {% hint style="warning" %} **Agent supply-chain risk:** Agents rely on skills, plugins, MCP servers, packages, templates, repositories, browser content, and third-party tools. A compromised dependency or malicious integration can become an execution path into the agent runtime. {% endhint %} {% hint style="warning" %} **Agent transaction risk:** AI agents will increasingly prepare, sign, route, simulate, and submit transactions on behalf of users or organizations. Without transaction-aware security, autonomous agents can trigger irreversible Web3 losses at machine speed. {% endhint %} Web3 user security faces a parallel execution problem: {% hint style="warning" %} **Irreversible transaction risk:** Once a malicious transaction or signature is submitted, users often cannot stop the resulting asset loss. {% endhint %} {% hint style="warning" %} **High user decision burden:** Wallet warnings and raw transaction details still require users to understand complex contract behavior, approval logic, signature payloads, and token risks. {% endhint %} {% hint style="warning" %} **Fragmented security coverage:** Users, applications, wallets, chains, and AI agents need consistent security policies across networks, tokens, dApps, RPCs, and transaction flows. {% endhint %} ### GoPlus Security Layer GoPlus addresses these risks by placing a security layer before execution. Instead of relying only on alerts after an action has already happened, GoPlus evaluates risky actions in real time, applies policy, routes sensitive operations through approval when needed, blocks dangerous behavior, and records an auditable security timeline. This creates a common security model for both AI agents and Web3: * **Detect:** Analyze prompts, URLs, commands, packages, signatures, transactions, tokens, addresses, approvals, and dApps for risk. * **Decide:** Evaluate each action against risk models, user intent, custom policies, and contextual security rules. * **Enforce:** Allow, block, warn, or escalate high-risk actions before they execute. * **Verify:** Use decentralized data contribution and validation mechanisms where transparency and trust are required. * **Audit:** Produce clear records of actions, decisions, approvals, and security outcomes. This security layer is open and modular. Developers can integrate GoPlus Intelligence through APIs and SDKs. AI agent users and teams can protect runtime behavior, transaction execution, and supply-chain exposure with AgentGuard and GoPlus Web3 Security. Wallets, dApps, RPCs, chains, and rollups can integrate GoPlus security capabilities through infrastructure integrations. Security developers and data contributors can participate through the GoPlus Security Network. ### Core Product Lines **AgentGuard: AI Agent Security** AgentGuard is GoPlus' runtime security product for AI agents. It provides local-first runtime protection, policy enforcement, approval workflows, audit timelines, and supply-chain scanning for agent actions. AgentGuard evaluates risky shell commands, file access, tool calls, URLs, package content, sensitive operations, and agent-to-Web3 actions before execution, helping users and teams protect agents from prompt injection, credential leakage, malicious commands, data exfiltration, transaction risk, supply-chain compromise, and permission abuse. **GoPlus Intelligence** GoPlus Intelligence is the risk analysis engine behind the security layer. It provides real-time security intelligence, automated analysis, transaction simulation, malicious address detection, token risk analysis, phishing site detection, approval and signature analysis, dApp risk information, and agent-oriented security detection capabilities. **GoPlus Web3 Security** GoPlus Web3 Security protects the full lifecycle of on-chain activity. Through APIs, browser extension, GoPlus APP, transaction simulation, Security RPC, wallet integrations, and on-chain firewall infrastructure, GoPlus helps users, wallets, dApps, chains, and RPC providers detect and prevent malicious on-chain actions before they execute. **DeepScan** DeepScan is GoPlus' AI-powered token security audit product. It combines static analysis, LLM-powered semantic audit, financial semantic modeling, and accumulated security rule patterns to detect smart contract vulnerabilities, rug pull risks, access-control issues, honeypot behavior, and scam patterns before token contracts reach users and markets. **GoPlus SafeToken Protocol** SafeToken Protocol provides standardized security for token issuance and liquidity management. It helps projects launch tokens with safer contract templates, risk controls, and liquidity protection, reducing malicious asset creation and improving trust across the token ecosystem. **GoPlus Security Network** The GoPlus Security Network turns security into an open, verifiable, and participatory infrastructure layer. Security data contributors, users, developers, security service providers, and governance participants collaborate to provide decentralized security services across AI agent and Web3 environments. ### Why GoPlus? **Security before execution:** GoPlus focuses on the moment where risk becomes damage: before an AI agent runs a command, before a tool call reaches an external system, before an agent or wallet submits a transaction, and before a user signs a malicious payload. **AI-era agent protection:** AgentGuard brings GoPlus into the AI agent runtime, where large-scale agents need policy enforcement, approvals, auditability, transaction protection, supply-chain checks, and real-time protection around every risky action. **Proven Web3 security scale:** GoPlus has already built one of the most widely used Web3 user security infrastructures, with large-scale API usage, multi-chain coverage, wallet protection, malicious asset detection, and integrations across the ecosystem. **Ecosystem distribution:** GoPlus works across supported networks, wallets, exchanges, DeFi protocols, launchpads, trading tools, data platforms, RPC providers, security partners, and infrastructure providers, giving the security layer broad distribution. **Unified risk intelligence:** GoPlus combines AI-powered analysis, security data, transaction simulation, phishing detection, malicious address intelligence, token risk classification, and runtime risk detection into a common intelligence layer. **Open and verifiable network:** Through decentralized data contribution, security service coordination, and governance, GoPlus makes security services more transparent, scalable, and aligned with the communities they protect. ### Conclusion The AI era requires a new security layer. As agents and applications gain the ability to execute complex actions on behalf of users, security must shift from passive detection to real-time protection before execution. GoPlus is building that layer. Starting from its proven Web3 security foundation and expanding through AgentGuard for AI agents, GoPlus provides the intelligence, runtime controls, transaction security, supply-chain protection, policy enforcement, and verifiable services needed to secure high-risk digital actions across AI and Web3. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://whitepaper.gopluslabs.io/goplus-network/overview.md?ask= ``` The question should be specific, self-contained, and written in natural language. 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