AI DingTalk 2.0 Launch Event: Wukong System Officially Released

1. Core Technology Foundation: Achieving Dual Independence of Model and System

Google Search places strong emphasis on innovation-driven keywords. The Wukong system establishes its technological moat through three key pillars, ensuring enterprises maintain a competitive edge in the AI era:

Agent Runtime: Supports cross-platform and cross-model (e.g., Qwen, Llama) inference. Enterprises can flexibly switch underlying large model computing power based on specific business needs and budget, achieving complete decoupling between the operating system and the foundational models.

RealDog True Value System (AI Native File System): This is the world's first "process-oriented" file system. It does not merely store static documents but comprehensively records every snapshot of AI decision-making. This technology enables instant rollback and knowledge accumulation, effectively resolving the challenge of uncontrolled AI outputs, making the evolution of enterprise AI transparent and traceable.

DingTalk CLI (Command Line Interface): Atomizes all enterprise capabilities. Both developers and AI Agents can access full enterprise data and business systems with just one line of code, significantly reducing the complexity of system integration.

2. Enterprise-Grade Security: AI Sandbox and DNA Permission Control

For Hong Kong-based and international enterprises, data privacy is a prerequisite for AI adoption. DingTalk AI 2.0 has built a comprehensive security protection framework:

Dedicated VPC and On-Premises Deployment: Provides enterprise-grade dedicated virtual cloud environments, ensuring sensitive business data remains confidential and is never used for secondary training of public models.

DNA Identity Verification: Enables strict permission controls through the DingTalk account system. AI executes only legitimate commands verified by authorized identities, preventing unauthorized operations (such as prompt injection) or illegal access at the source.

Skill Approval Mechanism: All AI Skills must operate within a controlled sandbox environment and undergo review by the enterprise's security team before deployment, ensuring absolute safety within the enterprise’s operational ecosystem.

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