AWS and Google Cloud agent governance: a source-bounded capability matrix
Compare AWS and Google Cloud’s documented agent-governance scope without mistaking vendor descriptions for operating evidence.
AWS and Google Cloud describe centralized agent governance from different starting points. AWS documents a private catalog spanning several resource types. Google Cloud describes a centralized governance function organized around identity, permissions, interaction visibility, and human approval.
That distinction matters during procurement. A searchable inventory answers what resources can be found and governed through a catalog. Runtime-oriented controls address who or what may act, what activity is visible, and when a person enters the decision path. The two categories can overlap, but the supplied vendor descriptions do not establish equivalent coverage.
The source-bounded capability matrix
Every documented entry below reports only what the vendor source says. Every diligence entry marks a question the supplied excerpts do not answer.
| Capability | AWS Agent Registry | Google Cloud governance |
|---|---|---|
| Inventory scope | Vendor-documented: AWS describes a private catalog for agents, tools, skills, MCP servers, and custom resources. AWS announcement | Diligence question: Which resource types, beyond agents, can be represented in the centralized governance layer? |
| Search and discovery | Vendor-documented: AWS characterizes Agent Registry as supporting centralized agent discovery. AWS announcement | Diligence question: What search, discovery, and metadata capabilities are available? |
| Approval controls | Vendor-documented: AWS says the registry supports approval workflows. AWS announcement | Vendor-documented: Google Cloud describes rules that flag critical actions for human approval. Google Cloud post |
| Activity evidence | Vendor-documented: AWS lists audit trails among the registry’s capabilities. AWS announcement | Vendor-documented: Google Cloud describes visibility into agent interactions. Google Cloud post |
| Identity and permissions | Diligence question: How are agent identities represented, and where are effective permissions defined and enforced? | Vendor-documented: Google Cloud presents purpose-built agent permissions and identity management as parts of centralized governance. Google Cloud post |
| Lifecycle governance | Diligence question: What states exist from registration through retirement, and which transitions are enforced? | Diligence question: What lifecycle states and retirement controls are provided? |
| Infrastructure reach | Vendor-documented: AWS says Agent Registry supports cross-account sharing and automatic detection of agents running on AgentCore runtimes and gateways. AWS announcement | Diligence question: Which runtimes, accounts, projects, gateways, or external environments fall within the governance layer? |
| Configuration and deployment | Vendor-documented: AWS lists infrastructure-as-code and tagging support. AWS announcement | Diligence question: Which governance objects can be declared, versioned, and deployed as configuration? |
| Documented availability | Vendor-documented: AWS announced Agent Registry as generally available on August 31, 2026. AWS announcement | Diligence question: What product, edition, region, and availability status correspond to the controls described in the supplied Google Cloud post? |
Similar words do not establish equivalent controls
“Approval” illustrates the comparison problem. AWS documents approval workflows in the context of its registry. Google Cloud documents rules that flag critical actions for human approval. Those statements do not establish that the vendors intercept the same events, apply policy at the same point, or preserve equivalent evidence after a decision.
“Audit trails” and “visibility into agent interactions” are likewise related descriptions, not proven equivalents. The excerpts do not define event coverage, retention, attribution, export, or whether a record reflects a requested action, an approved action, or an executed action. Buyers can ask each vendor to map its terminology onto the same representative workflow before comparing checkmarks.
The same discipline applies to infrastructure coverage. AWS explicitly mentions cross-account sharing and automatic detection on AgentCore runtimes and gateways. The supplied Google Cloud excerpt does not identify comparable infrastructure boundaries. That absence is an unanswered question in this evidence set, not evidence that Google Cloud lacks the capability.
Use the matrix to separate claims from observations
For each shortlisted platform, select one consequential agent action and ask the vendor to demonstrate the documented capabilities that apply. Begin with registration or discovery. Follow the agent identity and effective permission into the action. Trigger an approval rule where available, then inspect the resulting records and lifecycle state. The supplied sources announce or describe capabilities; they do not demonstrate that full path operating in a buyer’s environment.
A procurement record can therefore keep vendor documentation separate from behavior observed under a defined configuration. Teams planning a custom implementation can preserve the same distinction when they build their own control layer.
The supported comparison is narrower than a winner-and-loser ranking. AWS provides the more specific supplied description of catalog contents, sharing, automation, and AgentCore detection. Google Cloud provides the more explicit supplied description of agent identity, permissions, interaction visibility, and action-level human approval. The matrix identifies those documented differences and the questions the supplied evidence leaves open; it does not establish whether the underlying offerings are interchangeable.