Background pattern

Agent Attack Surface Intelligence

Agents are shipping faster than security can catch up.

Cursor in every IDE. Claude wired into production. MCP servers no one inventoried. GitHub Apps with admin tokens. Service accounts nobody owns. elmoz is the security graph that connects every agent to every credential to every system it can reach — and shows you the paths that actually matter.

elmoz security graph dashboard showing AI agent risk paths
elmoz security graph dashboard showing AI agent risk paths
elmoz security graph dashboard showing AI agent risk paths

For security teams adopting AI agents, MCP servers and automation

What is Clooad

The security graph for AI agents and non-human identities

AI coding agents, MCP servers, GitHub workflows, service accounts and SaaS automations now use real credentials and touch real systems. Elmoz connects evidence from code, cloud IAM, secrets, SaaS and agent configurations to show the full path from agent to sensitive data — including proof level, blast radius and the change that introduced the risk.

AI Agent

Standard

Type

Source

Tool

Identity

Standard

Credential

Role

Permissions

Risk path

Sensitive Data

Standard

Data Store

Sensitivity

Environment

Key features

Find the agent access paths that create real risk

Elmoz discovers AI agents, tokens, workflows and service accounts, traces how they inherit access, and shows which sensitive systems are reachable before the path becomes an incident.

Risk path analysis

Trace paths like AI Agent → GitHub Workflow → Token → Cloud Role → Secret → Sensitive Data across code, cloud, identity and SaaS.

Agent & NHI discovery

Find the agents and non-human identities operating in your environment — including MCP servers, GitHub Actions, OAuth apps, service accounts, tokens and integration users.

Blast radius prioritization

See what could be exposed if an agent, token or workflow is compromised: production systems, secrets, customer data, external outputs and the owners who need to fix it.

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Security graph

See the full path, not just another alert

Elmoz builds a graph of how agents, workflows, identities, permissions, secrets and sensitive systems connect — so security teams can prove what is reachable, where the evidence comes from and what should be fixed first.

How it works

From scattered access signals to provable risk paths

Elmoz connects your code, cloud, identity, secrets and SaaS systems, discovers agents and non-human identities, and turns disconnected permissions into clear agent-to-data risk paths.

1

Connect your evidence sources

Start with systems where agent risk forms: GitHub, GitHub Actions, cloud IAM, secrets managers, SaaS tools and agent configurations. Early access focuses on GitHub + cloud IAM. Additional systems are added with design partners.

 Diagram showing Elmoz connecting GitHub, cloud IAM, secrets and SaaS evidence sources.
github
gitlab
amazonwebservices
salesforce
slack
atlassian
googlecloud
microsoftazure
openai
anthropic
vercel
notion

2

Trace the access path

Elmoz correlates agents, workflows, tokens, service accounts, IAM roles, SaaS scopes, secrets and sensitive targets into a graph of what is actually reachable.

 Diagram showing Elmoz connecting GitHub, cloud IAM, secrets and SaaS evidence sources.
Diagram showing an agent-to-data risk path from AI agent to cloud role to sensitive data.

3

Prioritize what to fix

Elmoz separates proven paths from weak signals, ranks issues by blast radius, and shows the owner, evidence and change context needed to remediate quickly.

 Diagram showing Elmoz connecting GitHub, cloud IAM, secrets and SaaS evidence sources.
Diagram showing prioritized risk paths with evidence, blast radius and remediation owner.

Visibility

Your agent risk map gets sharper with every integration

As Elmoz connects more evidence sources, teams gain a clearer view of which agents and non-human identities can reach sensitive systems, how strong the proof is, and which risks should be fixed first.

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Paths

Agent-to-data reachability

Evidence

Source-backed proof for every hop

Change context

PRs, workflows and policy changes that opened the path

Blast radius

Sensitive systems and data at risk

Integrations

Connect the systems where agent access risk forms

Elmoz looks for evidence across the places agents and non-human identities actually get power: source control, CI/CD workflows, cloud IAM, secrets managers, SaaS apps, identity providers and agent configurations.

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FAQ

Frequently asked questions

Clear answers about what Elmoz does, who it is for, and how it differs from agent inventory or MCP control planes.

What is Elmoz?

Elmoz is a security platform that shows what AI agents and non-human identities can actually reach. It connects evidence from code, cloud IAM, secrets, SaaS and agent configurations to map risky paths from agents to sensitive systems and data.

Who is Elmoz for?

Elmoz is built for security, cloud security, AppSec, IAM and platform teams adopting AI coding agents, MCP servers, GitHub Actions, service accounts and SaaS automation.

Do I need to deploy a runtime agent?

No. Elmoz starts with control-plane and configuration evidence from systems like source control, CI/CD, cloud IAM, secrets and SaaS. You can begin by mapping existing access paths without routing all agent traffic through Elmoz.

How is Elmoz different from inventory tools?

Inventory tools show which agents, apps or identities exist. Elmoz shows the reachable path: which identity they use, which permissions they inherit, which sensitive systems they can access, and what change introduced the risk.

What systems does Elmoz connect to?

Elmoz is built to connect with the systems where agent risk forms: code repositories, CI/CD workflows, cloud IAM, secrets managers, SaaS apps, identity providers and agent configurations. Early access focuses on GitHub and cloud IAM, with additional integrations prioritized through design partners.

Diagram showing prioritized risk paths with evidence, blast radius and remediation owner.

Find the hidden paths from AI agents to sensitive data

Diagram showing an agent-to-data risk path from AI agent to cloud role to sensitive data.

Discover agents and non-human identities

Find the AI coding agents, MCP servers, GitHub workflows, OAuth apps, service accounts, tokens and SaaS automations that may already have access to real systems.

Map agent-to-data paths

Trace how an agent moves from a workflow or tool into credentials, cloud roles, SaaS scopes, secrets and sensitive data stores.

Agent Identity Agent name Permissions + 8 More Attributes Role Standard 1,424 Bindings Secret Standard 2,639 Records

Connect identities and permissions

Link agents to the credentials, roles, scopes, and permissions they inherit across GitHub, cloud, and SaaS.

Trigger Agent inherits scope “admin”? Is true Grant role Anna Is false Select block

Separate proven paths from weak signals

Elmoz classifies each path as proven, inferred or theoretical, so teams can focus on real reachable risk instead of noisy correlations.

Trigger Completed When sensitive read detected Audit Triggered when an agent reads tagged data. Completed Path verified by trace? Condition Continue if the access path was directly observed, not just inferred from a capability graph. Completed Classify finding Triage Split findings into proven sensitive-read paths and weak correlations or bridge capabilities. Proven path Unverified Completed Promote to “Proof” Evidence Hold for review Noise

Every risk path comes with change context

See when a risky path was introduced, what changed, which system it came from, and why the agent can now reach sensitive resources.

Prioritize blast radius

Focus on the agents and non-human identities that can actually reach sensitive systems, secrets, or output surfaces.