Iron Strong AI security. No managed agent runtime.
WitnessAI is built for enterprise AI security. It finds shadow AI, controls agent tools, blocks attacks, protects data, routes model traffic, and tracks spend. The agent workload still runs elsewhere.
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Go beyond WitnessAI with a fully managed agent runtime.
WitnessAI discovers and secures AI use across employees, applications, models, and agents. Iron Gorilla goes further into execution. Build, run, and govern production agents in one managed platform.
Build, run, and govern agents in one place.
Iron Gorilla builds and runs the agent. It adds durable work, behavioral trust, human approval, live operations, recovery, managed connections, and tamper-evident action evidence.
Feature comparison
See how much more Iron Gorilla does.
Iron Gorilla covers 28 of 37 capabilities. WitnessAI covers 21. Iron Gorilla includes 16 capabilities WitnessAI does not.
Managed agent runtimeBuild, run, supervise, and improve agents in one platform.12 features
Fully managed agent runtimeRun the agent, its state, tools, and controls in one platform.
Managed Agent BuilderCreate, check, version, and deploy governed agents.
Durable agent work and memoryKeep state, goals, memory, and recovery across long-running work.
Behavioral Trust ProfilesScore a deployed agent from behavior, access, approvals, and policy history.
Trust-based adaptive autonomyChange oversight when an agent earns trust or drifts.
Runtime human approval queueHold an important business action for a person with decision context.
Live agent operations and work recoveryOperate status, approvals, blocks, health, recovery, compensation, and rollback together.
Enterprise-wide shadow AI and agent discoveryFind unsanctioned AI applications, agents, and conversations across the network.
Agent, MCP, tool, and human identity mappingMap agent activity to tools, downstream systems, and the person who started it.
MCP Catalog with OWASP and CVE risk scoringScore known MCP tools against published security risk classes before approval.
Tool-call and MCP allowlist enforcementEnforce approved tools and servers before an agent call executes.
Pre-execution prompt and tool-call defenseInspect risky input and tool activity before it reaches a model or business system.
Policy and evidenceControl actions before they happen and keep proof of each decision.12 features
Intent-based interaction classificationUnderstand conversational purpose and changing context instead of matching keywords alone.
Role, department, and use-case policy controlsApply different AI rules by identity, team, purpose, data, and risk.
Prompt injection and jailbreak blockingStop adversarial prompts before they manipulate a model or agent.
Harmful and off-brand response filteringFilter unsafe, offensive, sensitive, or off-brand model output before delivery.
Sensitive-data detection and protectionDetect personal data, credentials, secrets, and regulated data before external use.
Human-to-agent action attributionLink agent and agent-to-agent activity to the person who started the work.
Granular AI interaction audit trailsRecord prompts, responses, tools, users, policies, blocks, and data protection events.
Tamper-evident action evidencePreserve a verifiable chain from intent and policy to action and outcome.
Scheduled fixed evidence reportsDeliver repeatable audit reports on a set schedule and scope.
Plain-language business policy authoringDescribe a business rule in normal language and turn it into governed control.
Action-outcome policy simulationTest a business-action rule against expected outcomes before enforcement.
Automated AI red teamingAttack models and applications before production to find security weaknesses.
Connections and modelsControl MCP tools, model traffic, routing, cost, and integrations.8 features
Employee, application, model, and agent AI coverageApply one security layer across human and autonomous AI activity.
Native desktop and IDE coverage without endpoint clientsMonitor native AI apps, coding tools, and distributed work without browser extensions.
Security APIs for existing orchestration layersAdd prompt and response protection to a custom agent without moving its runtime.
Managed MCP connection lifecycleCreate, own, scope, monitor, and operate agent connections in one platform.
Intelligent model routing by risk, cost, and purposeSend each AI request to an approved model that fits its purpose and risk.
AI spend visibility and runtime optimizationAttribute AI cost and block or reroute waste while work runs.
Automatic model-provider fallbackMove agent traffic to an approved backup model when a provider is unavailable.
Per-agent tool and model assignmentAssign approved connections and model routes to each managed agent.
Enterprise and governmentProtect identity and data across private and public-sector work.5 features
Enterprise identity and scoped accessApply user, role, team, and environment boundaries to AI activity.
Data sovereignty deployment optionsKeep AI security and governance data in controlled regions and environments.
Customer-managed on-premises and air-gapped deploymentRun the platform in a customer-controlled or disconnected environment.
Dedicated government and defense solutionSupport public-sector missions, isolated systems, procurement, and evidence needs.
SOC 2 Type II attestationProvide independent evidence that service controls operated effectively over time.
The short answer
Enterprise AI security or the full agent platform?
Use WitnessAI to discover and secure AI activity across employees, applications, models, agents, MCP servers, native apps, and coding tools.
Choose Iron Gorilla to build and run production agents with durable work, trust-based control, human approvals, live operations, recovery, and linked evidence.
Switch with less risk
Already under contract with WitnessAI?
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
WitnessAI alternative questions
Is Iron Gorilla an alternative to WitnessAI?
Yes. Both products govern agent risk at runtime. Iron Gorilla also builds, runs, connects, and operates production agents in one managed platform.
What is the main difference between WitnessAI and Iron Gorilla?
WitnessAI secures AI interactions across employees, applications, models, and agents. Iron Gorilla provides the managed agent runtime, durable work, trust, approvals, recovery, and evidence.
Does WitnessAI govern AI agents and MCP tools?
Yes. WitnessAI discovers agents, maps MCP servers and tools, scores known tools, enforces organization-wide allowlists, and blocks unsafe prompts, responses, and tool calls.
Does WitnessAI run AI agents?
WitnessAI secures agents that run in IDEs, applications, frameworks, devices, and public clouds. Its public product pages do not present a managed agent execution runtime.
When should a team choose Iron Gorilla over WitnessAI?
Choose Iron Gorilla when you need the full agent lifecycle: creation, managed execution, durable work, connections, trust, human approvals, live operations, recovery, and tamper-evident evidence.
Can Iron Gorilla buy out a WitnessAI 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.
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