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Go beyond Prompt Security with a fully managed agent runtime.

Prompt Security protects AI use, applications, code assistants, and MCP traffic. Iron Gorilla goes further. Build, run, and govern production agents in one managed platform.

Prompt Security in brief

Strong AI security. No managed agent runtime.

Prompt Security is built for enterprise AI security. It discovers shadow AI, blocks data leaks and prompt attacks, tests AI apps, and controls MCP activity. It does not run the agent workload.

Why Iron Gorilla

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, and audit-ready evidence around every important action.

Feature comparison

See how much more Iron Gorilla does.

Iron Gorilla covers 23 of 30 capabilities. Prompt Security covers 19. Iron Gorilla includes 11 capabilities Prompt Security does not.

Managed agent runtimeBuild, run, supervise, and improve agents in one platform.8 features
Runtime tool-action enforcementAllow or stop a tool action before downstream impact.
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 an 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 action for a person with decision context.
Unified agent operations workspaceOperate status, approvals, blocks, trust, activity, and connection health together.
Policy and evidenceControl actions before they happen and keep proof of each decision.8 features
Least-privilege agent and tool controlsLimit what an agent, server, user, or tool can do.
Plain-language policy authoringTurn business rules into enforceable controls without starting from API objects.
Policy simulation before launchTest a business rule against representative actions before activation.
DLP and sensitive-data controlsDetect, redact, or stop secrets, PII, IP, and protected data.
Prompt injection and jailbreak protectionDetect or block hostile prompts and unsafe model behavior.
Searchable agent-action audit logReconstruct actions, decisions, identities, and system interactions.
Scheduled, fixed governance reportsPackage evidence for recurring leadership and audit review.
Tamper-evident action evidenceDetect unauthorized changes to the record behind an agent decision.
Connections and modelsControl MCP tools, model traffic, routing, cost, and integrations.6 features
Agent and MCP discoveryInventory agents, MCP servers, tools, and connections.
Automatic shadow MCP discoveryFind unsanctioned MCP servers and agent deployments automatically.
MCP code analysis and risk scoringAssess server code, configuration, maintenance, and security risk.
AI gateway runtime inspectionInspect AI and MCP requests and responses in real time.
Model-agnostic and self-hosted coverageProtect work across leading providers and private models.
API and reverse-proxy integrationAdd controls without rebuilding the AI application.
Enterprise and governmentProtect identity and data across private and public-sector work.8 features
Workforce shadow AI controlFind and govern unsanctioned employee AI use.
AI code assistant protectionProtect code, secrets, IP, prompts, and generated output in developer tools.
Homegrown AI application firewallProtect custom AI applications from hostile inputs and sensitive outputs.
Pre-production AI red teamingTest AI apps for prompt injection, jailbreaks, poisoning, and harmful output.
Flexible private deploymentRun managed, customer-controlled, on-premises, or disconnected.
Government and sovereign AI solutionSupport public-sector missions, data control, and restricted environments.
Singularity security-platform integrationUnify AI risk with endpoint, cloud, identity, data, and security operations.
Role-based AI usage policySet different AI and data rules by role, user, team, or workload.
The short answer

AI security or the full agent platform?

Use Prompt Security for enterprise AI security

Use Prompt Security to secure employee AI use, code assistants, homegrown AI apps, and MCP traffic across the enterprise.

Choose Iron Gorilla for the full program

Choose Iron Gorilla for the full agent program. Build and run agents, control actions, route approvals, support government work, and produce audit-ready evidence.

Switch with less risk

Already under contract with Prompt Security?

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 eligibility
FAQ

Prompt Security alternative questions

Is Iron Gorilla a Prompt Security alternative?

Yes. Both products control AI and agent risk. Iron Gorilla also builds, runs, and operates the agents in one managed platform.

What is the main difference between Prompt Security and Iron Gorilla?

Prompt Security is an enterprise AI security product. Iron Gorilla is a managed agent platform with execution, trust, approvals, operations, and audit evidence.

Does Iron Gorilla provide a fully managed agent runtime?

Yes. Iron Gorilla runs the agent, its state, tools, policies, approvals, and operating controls in one platform.

Does Prompt Security support on-premises and government use?

Yes. SentinelOne offers Prompt Security in customer-controlled infrastructure and positions it for government, critical infrastructure, and sovereign AI security.

When should a team choose Iron Gorilla over Prompt Security?

Choose Iron Gorilla when you need the full agent lifecycle: creation, managed execution, behavioral trust, human approvals, live operations, and audit-ready evidence.

Can Iron Gorilla buy out a Prompt Security 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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