Deep Dive
1. AI Agent Security Expansion (Q3–Q4 2026)
Overview: This ongoing phase focuses on scaling GoPlus's flagship AI agent security product, AgentGuard. Key goals include extending protection to Model Context Protocol (MCP) servers and tool calls, connecting agent security with existing Web3 transaction simulation, and adding team-level policy management for enterprises (GoPlus Security). The team also aims to improve scanning for agent skills, plugins, and packages to mitigate supply-chain risks.
What this means: This is bullish for GPS because it directly addresses the explosive growth and associated risks of on-chain AI agents, creating a new, high-demand revenue stream. Success hinges on seamless integration with popular agent frameworks and demonstrating clear value to prevent agent exploits.
2. Agent Security Network Launch (Q1–Q2 2027)
Overview: This mid-term initiative aims to build a developer ecosystem around AI agent security. Plans include launching a developer platform with APIs and SDKs, introducing additional security services like prompt-injection analysis, and expanding the decentralized Security Data Layer to include verified agent threat intelligence (GoPlus Security).
What this means: This is bullish for GPS as it transitions from a product company to a platform, potentially increasing network effects and locking in usage. The key risk is attracting enough third-party developers and security providers to create a vibrant ecosystem, which requires significant technical and community resources.
3. Unified AI + Web3 Security Layer (Q3–Q4 2027)
Overview: This long-term vision involves integrating GoPlus's entire suite—AgentGuard, DeepScan, SafeToken Protocol, and Security RPC—into a single, coherent execution-time protection layer for autonomous agents (GoPlus Security). The goal is to standardize security for agent-initiated on-chain actions and support security operations for large fleets of AI agents.
What this means: This is neutral-to-bullish for GPS, as it represents a strategic moat by combining Web3 and AI security. However, it's a highly ambitious, multi-year undertaking whose success depends on widespread adoption of autonomous agents and GoPlus's ability to execute complex technical integration across disparate systems.
Conclusion
GoPlus Security's roadmap strategically pivots from a Web3 security foundation to becoming an essential security layer for the AI era, with clear milestones through 2027. Will the demand for AI agent security grow rapidly enough to justify this strategic bet ahead of the competition?