Eagle Cloud raises B+ round to expand AI security governance

Eagle Cloud has raised a Series B+ round of close to RMB 100 million, backed by MTR Lab and Northern Light Venture Capital, four months after its Series B. The Hong Kong-based company plans to use the money to extend governance tools for AI agents and speed overseas expansion as enterprise AI shifts toward autonomous action.

Why it matters: - Enterprise AI is moving from chatbots to agents that can take action, which raises new security, access, accountability, and cost-control risks. - Eagle Cloud is positioning its software as the governance layer for those systems inside existing enterprise infrastructure. - The funding gives the company more runway to expand outside China while deepening its footprint in Hong Kong and nearby markets.

What happened: - Eagle Cloud closed a Series B+ round of close to RMB 100 million, or about USD 14 million. - MTR Lab and Northern Light Venture Capital co-invested in the round. - Voyagers Partners served as financial advisor. - The round comes four months after Eagle Cloud completed its Series B. - Eagle Cloud is based in Hong Kong.

The details: - Eagle Cloud said the new capital will support governance infrastructure for AI agents and other autonomous actions inside enterprises. - The company also plans to build a larger overseas team and stronger local delivery capability. - Eagle Cloud’s Yunshu platform governs human and AI actors under one system. - Yunshu AIDR manages each agent from creation to retirement in five stages. - Discover identifies agents across the enterprise, including shadow AI tools adopted without IT approval. - Define sets an execution contract for each agent type, including objectives, permissions, validity period, and cost budget. - Identify links each agent to its creator, user, and owner so responsibility can be traced. - Enforce checks behavior against the contract and can trigger alerts, restrictions, or blocking based on risk. - Measure tracks AI costs by model, agent, workflow, and owner to support budgeting and resource planning. - Eagle Cloud said the platform integrates identity, endpoint, network, application, and data layers. - The company said Yunshu AIDR can govern AI agents within an enterprise’s existing architecture and reduce fragmentation and duplicated build-out. - Eagle Cloud said it serves more than 1,000 enterprises across more than 20 industries. - The company said its platform covers more than 5 million endpoints.

Between the lines: - The investment points to growing demand for controls around autonomous AI systems, not just AI models that generate answers. - MTR Lab’s backing suggests strategic interest in bringing enterprise AI governance into Hong Kong, Macau, and Southeast Asia. - Northern Light Venture Capital said Eagle Cloud has a first-mover advantage and is well positioned to benefit from both the AI shift and Chinese companies expanding overseas. - Eagle Cloud’s emphasis on verifiable trust signals a broader market bet: enterprises may need governance tools before they scale agentic AI use.

What's next: - Eagle Cloud plans to use Hong Kong as the base for international expansion. - The company will work with Hong Kong-Shenzhen Innovation and Technology Park partners to reach Southeast Asia and Central Asia. - MTR Lab is expected to help Eagle Cloud deepen its presence in Hong Kong, Macau, and Southeast Asia. - Eagle Cloud’s longer-term roadmap appears tied to governance for future forms of autonomous and physical AI systems. - MTR Lab said it wants to support Eagle Cloud’s technology development and overseas service expansion. - Hu Min said Eagle Cloud’s long-term vision is for organizations run by people and AI together to be built on verifiable trust.

The bottom line: - Eagle Cloud is using fresh funding to turn AI governance into enterprise infrastructure as agentic AI becomes more common.