Iron A broad, managed platform for enterprise AI.
Airia is strong when one enterprise platform must cover agent building, shadow AI discovery, runtime policy, model management, red teaming, integrations, governance, and flexible deployment.
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Go beyond Airia with deeper trust and recovery.
Airia is a broad platform to discover, build, run, secure, and govern enterprise AI. Iron Gorilla goes deeper into resilient execution, behavioral trust, containment, recovery, and mission evidence.
Make resilience and trust the operating model.
Iron Gorilla centers the managed runtime on durable work, behavioral trust, adaptive autonomy, checkpoint recovery, compensation, live containment, MCP connection health, and linked action evidence.
Feature comparison
See where each platform goes further.
Iron Gorilla covers 35 of 45 capabilities. Airia covers 36. Iron Gorilla includes 9 capabilities Airia does not.
Managed agent runtimeBuild, run, supervise, and improve agents in one platform.13 features
Fully managed agent runtimeRun agents, state, tools, policy, and operations in one managed platform.
Managed no-code and pro-code Agent BuilderCreate, test, version, and deploy agents for business and technical teams.
Native branches, loops, and parallel routesModel complex work without a separate orchestration service.
Persistent scoped agent memoryKeep user, conversation, and workflow state across agent runs.
Runtime human approval queuePause important work and give a reviewer context before it continues.
Multi-agent orchestrationCoordinate specialized agents inside one governed workflow.
Scheduled, event, and API executionStart agent work from time, business events, files, or application calls.
Execution logs and live operational visibilitySee agent runs, tool actions, model calls, cost, approvals, and failures.
Built-in draft comparison and agent evaluationCompare versions and score quality or safety before deployment.
Durable execution across service interruptionPersist active work so a long-running agent can continue after an outage.
Checkpoint replay and controlled resumeInspect a failed run and resume from a safe point without starting over.
Compensation after completed side effectsRun a governed corrective action when earlier work changed an external system.
Controlled promotion and rollback pathsMove reviewed agent versions into production and return to a safe version.
Policy and evidenceControl actions before they happen and keep proof of each decision.12 features
Pre-action runtime policy enforcementAllow, block, or require review before an agent changes a business system.
Tool, data, model, and parameter constraintsLimit what an agent can call, read, write, and send.
Risk-based human escalationRequire a person when action risk, data sensitivity, or confidence crosses a limit.
Prompt, response, and sensitive-data guardrailsBlock manipulation and unsafe content and protect regulated data.
Behavioral Trust ProfilesScore each deployed agent from behavior, access, approvals, and policy history.
Trust-based adaptive autonomyReduce or tighten oversight as an agent earns trust or drifts.
Operator containment and governed recoveryPause or isolate a running agent, preserve evidence, and recover it under control.
Tamper-evident action audit trailKeep durable proof of actions, decisions, policies, identities, and outcomes.
Mapped compliance reportsGenerate evidence aligned to major AI, privacy, security, and risk frameworks.
Continuous agent red teamingAttack prompts, tools, APIs, memory, and chained actions before and after launch.
Enterprise-wide shadow AI discoveryFind approved and unapproved AI across identity, network, SaaS, browser, API, and code signals.
Automated and reviewer-approved security runbooksRespond consistently to policy violations, anomalies, and endpoint detections.
Connections and modelsControl MCP tools, model traffic, routing, cost, and integrations.11 features
Governed MCP Gateway and custom MCP connectionsConnect agents to approved tools through managed and custom MCP servers.
More than 1,000 preconfigured integrationsConnect production agents to a large ready-made enterprise tool catalog.
Governance for agents built outside the platformApply discovery and runtime controls to third-party and custom agents.
MCP connection ownership, health, and lifecycleOperate each connection with owners, scopes, credentials, health, and change evidence.
Policy-aware multi-model routingSelect models by capability, cost, latency, performance, and compliance.
Automatic model-provider fallbackContinue agent work on an approved backup when a model provider fails.
Model retirement warnings and bulk migrationFind agents on retiring models and move them before production breaks.
Spend attribution, budgets, and cost routingTrack model cost and constrain or reroute work before spend runs away.
Per-agent tool and model assignmentGive each agent only the connections and model routes it needs.
Interactive MCP AppsRender governed dashboards, forms, and visual tools inside AI conversations.
Managed REST API interfaceInvoke governed agents from applications with scoped credentials.
Enterprise and governmentProtect identity and data across private and public-sector work.9 features
Enterprise identity and scoped accessApply SSO, roles, teams, projects, environments, and ownership boundaries.
SaaS, private cloud, on-premises, and air-gapped deploymentRun the platform where infrastructure, residency, and isolation rules require.
Named AWS GovCloud and Azure Government supportDeploy inside government-specific commercial cloud regions.
Dedicated defense and public-sector solutionAddress mission workflows, procurement, isolation, and government evidence needs directly.
SOC 2 Type II operationsProvide independent assurance that service controls operated effectively over time.
Published Airia Legal entry pricingShow legal-sector buyers a published starting price before enterprise sales.
Customer-controlled storage and data residencyKeep governed data in approved regions, clouds, and customer storage.
AI regulatory framework mappingsMap governance records and reports to major AI and risk standards.
Formal implementation and technology partner ecosystemUse certified third parties to sell, deploy, extend, and support the platform.
The short answer
Broad AI control plane or resilience-first runtime?
Use Airia when one platform must discover, build, run, secure, govern, and optimize AI with a large connector catalog and flexible deployment.
Choose Iron Gorilla when durable execution, behavioral trust, checkpoint recovery, compensation, live containment, and mission evidence matter most.
Switch with less risk
Already under contract with Airia?
Your organization may qualify for a contract buyout when you move to Iron Gorilla. We can also provide complimentary professional services to plan and complete the move.
Check eligibilityFAQ
Airia alternative questions
Is Iron Gorilla an alternative to Airia?
Yes. Both platforms build, run, and govern enterprise agents. Iron Gorilla places more emphasis on durable execution, behavioral trust, containment, recovery, and high-consequence evidence.
What is the main difference between Airia and Iron Gorilla?
Airia is a broad AI control plane with discovery, orchestration, security, governance, models, and integrations. Iron Gorilla is a resilience-first managed runtime for trusted agent operations.
Does Airia run AI agents?
Yes. Airia provides a managed runtime, visual and pro-code agent building, flow logic, persistent memory, human approvals, testing, monitoring, APIs, and deployment options.
Where is Airia stronger?
Airia publishes broader shadow AI discovery, automated red teaming, more than 1,000 connectors, MCP Apps, model-deprecation migration, named government-cloud options, and SOC 2 Type II operations.
When should a team choose Iron Gorilla over Airia?
Choose Iron Gorilla when durable work, behavioral trust, adaptive autonomy, checkpoint recovery, compensation, live containment, and MCP operational health are core requirements.
Can Iron Gorilla buy out an Airia contract?
Your organization may be eligible for a contract buyout and complimentary professional services when it moves to Iron Gorilla. 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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