Iron Managed Google Cloud runtime with strong agent services.
Agent Engine is strong for Google Cloud teams using ADK or other frameworks that need managed runtime infrastructure, memory, traces, model choice, and centrally governed tools.
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Add earned trust and accountable recovery to agent hosting.
Vertex AI Agent Engine deploys and scales agents with managed runtime, sessions, memory, observability, evaluation, and Google Cloud security. Iron Gorilla adds behavioral trust, business policy, contextual approvals, compensation, containment, and operator recovery.
Govern the business action, not only the cloud resource.
Agent Engine manages cloud execution and context services. Iron Gorilla makes business autonomy the product, with behavioral Trust Profiles, action policy, approvals, connection health, compensation, containment, recovery, and fixed evidence.
Feature comparison
Compare managed hosting with accountable autonomy.
Iron Gorilla covers 38 of 42 capabilities. Vertex AI Agent Engine covers 22. Iron Gorilla includes 20 capabilities Vertex AI Agent Engine does not.
Managed agent runtimeBuild, run, supervise, and improve agents in one platform.11 features
Fully managed production agent runtimeDeploy, execute, scale, and operate production agents as one accountable service.
Guided Agent BuilderCreate reviewed, versioned agents without assembling the runtime by hand.
Durable execution across interruptionPreserve state and continue long-running work after workers, networks, or providers fail.
Managed long-term agent memoryKeep governed context across sessions and long-running goals.
Long-running goal managementTrack plans, dependencies, state, and outcomes across many steps or sessions.
Managed multi-agent orchestrationCoordinate specialized agents, dependencies, handoffs, and shared work.
Contextual human approval gatesPause higher-risk work for a named person before execution continues.
Checkpoint resume and operator replayRestart work from a known good state after review or failure.
Business-action compensationReverse or compensate for a completed business action during recovery.
Scheduled and event-triggered agentsStart governed work from schedules, APIs, events, or enterprise systems.
Runtime observability and tracesInspect agent steps, tools, models, latency, failures, and outcomes.
Policy and evidenceControl actions before they happen and keep proof of each decision.11 features
Pre-action business policy enforcementEvaluate business rules before tools change enterprise systems.
Policy simulation before activationTest expected decisions against sample actions before enforcement.
Prompt, output, and sensitive-data controlsInspect model traffic and prevent unsafe content or sensitive-data exposure.
Tool permissions and action allowlistsRestrict which tools and actions each agent may use.
Behavioral Trust ProfilesScore each agent from observed behavior and surface drift to operators.
Adaptive autonomy from earned trustTighten or relax oversight as observed behavior changes.
Live agent and connection containmentIsolate risky agents, connections, or work before impact spreads.
Guided operational recoveryDiagnose failure and recover affected work through an accountable operator flow.
Tamper-evident action audit trailPreserve policy, approvals, calls, actions, and outcomes as trustworthy evidence.
Scheduled fixed reports and portable exportsGive leaders and auditors repeatable reports in stable formats.
Integrated Gen AI Evaluation serviceEvaluate agent quality with a first-party managed evaluation service.
Connections and modelsControl MCP tools, model traffic, routing, cost, and integrations.10 features
MCP tools and connectionsConnect agents to MCP servers and governed enterprise actions.
MCP ownership, health, and lifecycleOperate connections with owners, credentials, health, risk, assignments, and history.
Enterprise application integrationsConnect agents to existing systems without rebuilding every interface.
APIs and developer interfacesEmbed agents and platform functions into existing products and workflows.
Multiple model providersUse approved models across providers without rebuilding agent workflows.
Policy-aware model routingSelect models by capability, cost, latency, risk, and policy.
Automatic model-provider fallbackContinue work on an approved backup when a provider fails.
Spend attribution, budgets, and cost routingTrack model cost by agent and constrain or reroute work before spend runs away.
Per-agent tool and model assignmentGive each agent only the tools, data, and model routes it needs.
Central Cloud API Registry for approved toolsCurate organization-approved tools for agent developers from one private registry.
Enterprise and governmentProtect identity and data across private and public-sector work.10 features
Managed SaaS deliveryUse the platform as a supported enterprise cloud service.
Customer-controlled on-premises deploymentOperate the platform inside infrastructure controlled by the buyer.
Air-gapped deployment patternOperate inside disconnected environments with controlled data and model access.
Enterprise identity and scoped accessApply organization, role, group, environment, and ownership boundaries.
Published plan structureShow buyers public plan options and included capabilities.
Dedicated government and defense solutionAddress mission, procurement, deployment, approval, and evidence needs directly.
Regulatory and assurance mappingsMap controls and evidence to regulated or public-sector assurance needs.
Formal implementation partner ecosystemUse consulting, technology, and delivery partners for adoption.
Independent SOC 2 Type II assuranceProvide independent assurance that service controls operated effectively over time.
VPC Service Controls, CMEK, and data residencyApply Google Cloud perimeter, encryption-key, and residency controls to the runtime.
The short answer
Vertex AI Agent Engine or accountable agent operations?
Use Vertex AI Agent Engine when teams need Google-managed hosting, ADK and framework flexibility, sessions, Memory Bank, code execution, Cloud observability, API Registry, and Vertex model services.
Choose Iron Gorilla when agents require durable business work, behavioral trust, contextual approvals, connection health, compensation, containment, guided recovery, and scheduled evidence.
Switch with less risk
Already under contract with Vertex AI Agent Engine?
Your organization may qualify for a contract buyout and complimentary professional services when it moves production agent operations from Vertex AI Agent Engine to Iron Gorilla.
Check eligibilityFAQ
Vertex AI Agent Engine alternative questions
Is Iron Gorilla an alternative to Vertex AI Agent Engine?
Yes. Both platforms support production AI work. Vertex AI Agent Engine runs and scales production agents, but it remains cloud infrastructure rather than a packaged business trust, containment, compensation, and evidence operating model. Iron Gorilla adds a managed operating model centered on durable execution, behavioral trust, action control, containment, and recovery.
What is the main difference between Vertex AI Agent Engine and Iron Gorilla?
Agent Engine manages cloud execution and context services. Iron Gorilla makes business autonomy the product, with behavioral Trust Profiles, action policy, approvals, connection health, compensation, containment, recovery, and fixed evidence.
Does Vertex AI Agent Engine run production agents?
runs and scales production agents, but it remains cloud infrastructure rather than a packaged business trust, containment, compensation, and evidence operating model.
Where is Vertex AI Agent Engine stronger?
Vertex AI Agent Engine is stronger for Google Cloud integration, ADK, Memory Bank, managed code execution, Cloud API Registry, VPC Service Controls, CMEK, and Vertex AI evaluation services.
When should a team choose Iron Gorilla over Vertex AI Agent Engine?
Choose Iron Gorilla when agents require durable business work, behavioral trust, contextual approvals, connection health, compensation, containment, guided recovery, and scheduled evidence.
Can Iron Gorilla buy out a Vertex AI Agent Engine contract?
Your organization may be eligible for a contract buyout and complimentary professional services. Eligibility and scope depend on your current contract and migration needs.
See the full agent lifecycle.
Build an agent. Set its limits. Run it with trust, approval, and audit controls.
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