Let Agents
power every layer of your cloud
From ready-to-use, product-native agents to platforms for building, running and governing agents — Alibaba Cloud delivers Agentic AI across security, data, compute, operations and development, with identity and security woven throughout.
One star-map for the whole
Alibaba Cloud agent architecture
A unified core radiates out to product-native agents across domains, agent governance & security, and the full-lifecycle platform. Click any node to see its summary and official links.
Open the architecture mapLayered adoption guide
As cost-efficiency becomes the priority, cloud operations are shifting from throwing headcount at problems to being agent-driven. Layered adoption is a measurable ladder: win results in the most painful scenarios first, consolidate capability into a reusable agent foundation, then let identity and observability underwrite autonomy.
Deploy product-native agents where it hurts most
No platform required first. Start in the domains with the worst alert fatigue, longest MTTR and most repetitive toil, using ready-to-use ops agents.
- Where
- Security Center Agentic SOC · ARMS AI Agent · DAS auto-tuning · DataWorks Data Agent
- Value
- Free frontline engineers from repetitive triage, cut MTTR and P1 handling time directly, with ROI visible in 1–2 quarters.
Consolidate scattered agent capabilities into one foundation
Once single points prove out, use AgentRun + AgentTeams + AgentLoop + Model Studio / AgentScope to build an "agent factory", moving from point fixes to cross-domain closed loops.
- Where
- AgentRun runtime · AgentTeams collaboration · AgentLoop observability · Model Studio / AgentScope build
- Value
- Capabilities become reusable, orchestratable and governable; ops headcount grows sub-linearly with the business — that is scaled efficiency.
Identity + observability make "scaling up" safe
Automation amplifies the risk surface. Give every agent a controllable identity and least privilege with IDaaS Agent Identity / Agent ID guard, plus AI observability for audit, trace and rollback.
- Where
- IDaaS Agent Identity · Agent ID guard · AI observability
- Value
- This is the trust precondition for moving from "assist" to "act"; without governance, scaled automation cannot be switched on or pass compliance.
Third-party research to cite
- GenAI could unlock ~$2.6–4.4T in annual economic value; labor productivity could grow 0.1–0.6% per year through 2040McKinsey, "The economic potential of generative AI" (2023)
- Enterprise GenAI has moved from pilots to generating value at scale, with adoption and ROI rising fastMcKinsey, "The State of AI" (2024 / 2025)
- By 2026, ~80% of software engineering organizations will have platform engineering teamsGartner · Platform Engineering forecast
- By 2028, 40% of organizations deploying AI will adopt AI observability to monitor model performanceGartner press release (2026-05)
- By 2028, AI-related issues will drive ~50% of incident-response effortGartner press release (2026-03)
- AIOps adoption commonly yields ~30–50% MTTR reduction and ~35% better anomaly detectionAIOps industry research / case studies (secondary data)
Note: Gartner / McKinsey are authoritative and can be cited directly; MTTR-type figures from vendor or secondary research should be expressed as ranges and verified against the original source year for external materials.