Iron Deep AI governance. No managed agent runtime.
Credo AI is strong for enterprise AI inventory, regulatory intelligence, policy packs, risk workflows, audit artifacts, continuous evaluation, partner-led programs, and federal governance.
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Go beyond Credo AI with a fully managed agent runtime.
Credo AI is a mature governance platform for discovering, registering, assessing, monitoring, and reporting on AI. Iron Gorilla adds the managed runtime that builds, runs, controls, contains, and recovers production agents.
Put governance inside durable agent operations.
Iron Gorilla runs the agent, not only its governance record. Durable goals, behavioral trust, pre-action policy, approvals, containment, recovery, managed MCP connections, and model operations work as one operating layer.
Feature comparison
Compare governance depth with runtime control.
Iron Gorilla covers 33 of 44 capabilities. Credo AI covers 24. Iron Gorilla includes 20 capabilities Credo AI does not.
Managed agent runtimeBuild, run, supervise, and improve agents in one platform.10 features
Fully managed agent runtimeRun agents, state, tools, policy, and operations in one managed platform.
Managed no-code Agent BuilderCreate, review, version, and deploy production agents without operating a separate runtime.
Durable execution across service interruptionKeep long-running work safe through restarts, retries, and temporary failures.
Persistent scoped agent memoryKeep governed user, team, agent, and workflow memory across runs.
Long-running goals and dependent workCoordinate multi-step work with dependencies, time limits, and accountable ownership.
Managed multi-agent orchestrationRun coordinated agents and sub-agents under one operational control plane.
Human escalation for production agent activityRoute high-risk agent activity to a person with decision context.
Runtime trace ingestion and evaluationEvaluate production traces for violations, drift, unsafe behavior, and operational review.
Checkpoint replay and controlled resumeRestart from a safe point after review without repeating completed work.
Compensation and action rollbackReverse or offset completed actions when a later step fails or policy changes.
Policy and evidenceControl actions before they happen and keep proof of each decision.16 features
Enterprise AI portfolio registryKeep systems, models, agents, owners, uses, impact, and risk in one governance inventory.
Enterprise-wide shadow AI discoveryFind unregistered AI systems across the enterprise and bring them into governance.
Agent Registry and dependency graphMap agents, sub-agents, models, tools, data, guardrails, and dependencies.
Regulatory intelligence and pre-built policy packsTurn changing laws, standards, and business context into reusable governance requirements.
Automated AI risk assessment and recommendationsEvaluate system context, suggest risks, map controls, and rank governance work.
Cross-team governance workflows and approval gatesCoordinate governance reviews across legal, risk, compliance, engineering, and business teams.
Automated evidence and audit artifactsCollect evidence and produce review-ready records, disclosures, and reports.
Continuous monitoring and alertsWatch governed systems in production and alert teams when behavior or compliance changes.
Automated red teaming and drift detectionTest AI-specific risk and detect changing behavior across the governed portfolio.
Prompt, response, and data guardrailsControl unsafe content, manipulation, and sensitive data in model traffic.
Pre-action business policy enforcementEvaluate business rules before a production agent takes an external action.
Behavioral Trust ProfilesScore each deployed agent from behavior, access, approvals, policy, and outcome 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, correct it, and recover under control.
Tamper-evident runtime action trailKeep durable proof of actions, policies, identities, approvals, models, and outcomes.
Scheduled fixed reports and portable exportsGive leaders and auditors repeatable reports in stable, portable formats.
Connections and modelsControl MCP tools, model traffic, routing, cost, and integrations.8 features
Native enterprise governance integrationsConnect governance to model stores, MLOps, GRC, ticketing, data, and collaboration tools.
SDK and custom integration supportEmbed platform functions into existing engineering and governance workflows.
Model and vendor lifecycle recordsKeep internal models and third-party AI providers synchronized with governance records.
MCP connection ownership, health, and lifecycleOperate MCP connections with owners, scopes, credentials, health, risk, and change history.
Policy-aware multi-model routingSelect approved models by capability, cost, latency, risk, and policy.
Automatic model-provider fallbackContinue governed agent work on an approved backup when a provider fails.
Spend attribution, budgets, and cost routingTrack model cost by agent and work, enforce limits, and route before spend runs away.
Enforced per-agent tool and model assignmentGive each running agent only the tools, connections, data, and model routes it needs.
Enterprise and governmentProtect identity and data across private and public-sector work.10 features
SaaS and on-premises deploymentDeploy the governance or runtime platform in hosted or customer-controlled infrastructure.
Air-gapped deployment patternOperate inside disconnected environments with tightly controlled data and model access.
SOC 2 Type II assuranceProvide independent assurance that service controls operated effectively over time.
Dedicated federal and public-sector supportAddress government governance, mission, procurement, deployment, and evidence needs directly.
AI regulatory framework mappingsMap governance records and controls to major AI, risk, and management frameworks.
Third-party AI vendor governanceRegister external AI suppliers, assess their risk, and maintain synchronized governance records.
Formal governance partner ecosystemUse hyperscalers, integrators, consultancies, federal partners, and technology partners to deliver the program.
Published plan structureShow buyers public plan options and included capabilities before an enterprise sales process.
Governance Knowledge GraphConnect regulations, risks, controls, systems, and business context for governance decisions.
Federal AI inventory and OMB reporting workflowsCatalog agency AI use cases, assess risk, and prepare standardized public-sector reports.
The short answer
Portfolio governance or a managed agent runtime?
Use Credo AI when governance leaders need portfolio discovery, registries, risk intelligence, policy packs, workflows, audit artifacts, monitoring, and a broad partner ecosystem.
Choose Iron Gorilla when the platform must also build and run agents with durable work, behavioral trust, pre-action controls, approvals, containment, recovery, MCP health, and model operations.
Switch with less risk
Already under contract with Credo AI?
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
Credo AI alternative questions
Is Iron Gorilla an alternative to Credo AI?
Yes. Both platforms govern enterprise AI. Credo AI is deeper in portfolio governance, while Iron Gorilla adds a managed runtime for durable and controlled agent operations.
What is the main difference between Credo AI and Iron Gorilla?
Credo AI discovers, registers, assesses, monitors, and reports on AI systems. Iron Gorilla builds and runs agents with trust, approvals, containment, recovery, MCP operations, and model controls.
Does Credo AI run production agents?
Credo AI monitors and governs agents that run in other platforms. Agent Governor adds harness enforcement in a research preview, but Credo AI does not publish a generally available managed runtime for customer agents.
Where is Credo AI stronger?
Credo AI is stronger for enterprise AI inventory, shadow discovery, policy packs, regulatory intelligence, portfolio risk, governance workflows, audit artifacts, vendor governance, and its partner ecosystem.
When should a team choose Iron Gorilla over Credo AI?
Choose Iron Gorilla when agents need durable execution, managed memory, behavioral trust, pre-action policy, runtime approvals, containment, recovery, MCP health, model fallback, and cost controls.
Can Iron Gorilla buy out a Credo AI 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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