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Yamong Security
한국어

AI AGENT SECURITY

Delegate to AI.
Keep the work
within scope.

Discover AI across your organization and connect it to owners and permissions. Scope tools and resources for every request.

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Discovery / Identity / Guardrail

Protecting a work requestIllustrative example

Employee request

“Create the September report for project A.”

Discovery

Identify the AI and its owner

Reporting AI · project A owner

Identity

Apply enterprise permission limits

Read project A data · create team reports

Guardrail

Limit the scope for this request

Check September data access and report instructions

Forward only checked instructions to the agent

Business systems still authorize actual access and changes.

DISCOVER. DEFINE. PROTECT.

From finding AI to keeping its work in scope.

Having permission to access a resource does not mean that access is needed for this task. Yamong connects AI inventory, permissions and individual requests.

01 / Discover

AI Discovery

Which AI does your organization use?

Bring together AI assets and evidence across PCs, servers and cloud environments. Identify owners and review policy status.

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02 / Define access

AI Identity

Who owns each AI, and what can it do?

Define tools and permissions for each AI's purpose, within your organization's permission limits and prohibitions.

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03 / Check requests

AI Guardrail

What should this request be allowed to do?

Scope tools and resources for each request. Hold instructions that exceed the scope and request a revision.

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AI Discovery

Start with the AI your organization actually uses.

Collect evidence from PCs, servers and cloud management APIs. Bring scattered observations into an inventory your security team can review.

  • Identify commercial and custom AI candidates
  • Review evidence, location and observed state
  • Distinguish candidates, confirmed agents and policy status
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Korean console · demo data

AI inventory with asset types, hosts and observation status
In a work scenarioWhen a new AI tool appears on an employee PC, review the evidence and establish who owns it before defining its access.

AI Identity

Give each AI permissions that match its job.

Connect the owner and business purpose to enterprise identity. Apply permission ceilings and prohibitions to proposed tools and resource scopes.

  • Connect employees, teams and AI owners
  • Review purpose-based tool and permission proposals
  • Register scope and improve policies using activity history
Explore features and scenarios

Korean console · demo data

Employee permissions compared with proposed agent tools
In a work scenarioA project A reporting agent receives access to project A data and the team report folder. Tools beyond its owner’s permissions are excluded.

AI Guardrail

Check what the AI is about to ask the system to do.

Limit exposed tools, determine the resources needed for the request, then check returned instructions and arguments before forwarding them to the agent.

  • Apply registered tool and permission limits
  • Evaluate tools and resource paths for each request
  • Hold out-of-scope instructions, request revision and recheck
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Korean console · demo data

A report-writing instruction corrected from shared to the permitted reports folder
In a work scenarioFor a weekly support report, an instruction to write to a shared folder is held and revised to the allowed reports folder.

ENTERPRISE PERMISSIONS + TASK SCOPE

Keep enterprise authorization. Add the scope of this task.

Identity defines the AI’s baseline access within enterprise policy. Guardrail narrows it to the tools and resources needed for each request. Business systems continue to authorize actual operations.

See work scenarios

Boan Kim · Project A owner / illustrative example

“Prepare the September work report”

Allowed tools
Read summaries + create document
Accessible resources
September data for Project A and the team reports folder
Excluded for this request
Send external email · another owner’s data

AI-SPM

See where AI permissions could lead.

Connect agents, roles, identities and resources. Select a path to inspect permission evidence and identity bindings, then decide what needs further investigation.

A potential path is a lead for investigation, not proof of a successful attack.

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AI agent connected to roles, identities and resources
Korean console · demo data

Your next task for AI.Build the right scope with Yamong.

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