Cyber Asset Attack Surface Management

Every asset owned. Every gap surfaced.

An asset inventory is supposed to tell you what exists and who is accountable for it. In practice the ownership data is usually missing or wrong. Kai resolves the accountable owner from evidence, on top of the inventories you already run, and surfaces the assets your endpoint tooling has quietly marked unmanaged.
4% to 92%
Ownership coverage across 250,000 assets in under twelve hours
30,000
Shadow assets surfaced agentlessly in a single customer estate
One record
Read by exposure management, remediation and detection, with no second inventory
The problem

Fixes stall when nobody owns the asset

You have an endpoint tool, a scanner, a cloud posture tool and a CMDB, assuming each holds your asset inventory, but none of these sources agree. A finding without an accountable owner goes to the nearest queue, is reassigned once or twice, and eventually ages out into obscurity.

55%

of CISOs already let machines discover and inventory assets without approval.

Source: Kai, 2026 State of Autonomous Defense Report. Wakefield Research survey of 500 security leaders at $500M+ organizations, June 2026.

WITH KAI

Every finding reaches the person who can fix it, the first time

Kai rebuilds each asset from evidence across your tools and names the accountable owner, so every fix routes the first time.

Each asset rebuilt from Intune, Entra ID, EDR, scanners, cloud and CMDB

Missing EDR or scanner coverage raised as a finding

End of life software flagged with time to plan the upgrade

Owner, business application and environment named on every finding

Shadow assets returned to EDR and scanning coverage

Nothing waits on the CMDB being correct first

HOW KAI DELIVERS

Know who owns every asset, without cleaning the CMDB first

Every asset platform collects, correlates and reports. Kai also names who is accountable, in four stages.

1

Read every source
CMDB, endpoint, cloud tags, identity, logins and tickets, read only and agentless.
Agentic exploitation
Exploit validation
Attack paths

2

Resolve identity
Scored correlation across hostname, hardware address, cloud resource ID, network address and region.
Fix generation
Impact prediction
Workflow fit

3

Attribute ownership
Business application, then business unit, then location, each with its source.
SAST triage
Reachability
Calibrated confidence

4

Label the inference
Where sources conflict, the inference is labeled rather than promoted to fact.
Guardrail testing
Agent red teaming
Model supply chain
Sources

Seven systems. Seven inventories.

CMDB

Owner fields

Endpoint

Agents, unmanaged assets

Cloud

Resource tags, inconsistently applied

Identity

Who actually logs in

Scanners

What each one can reach

Code

Repositories and pipelines

ITSM

Patch management, change tickets

Kai

Interrogated, not reconciled.

Read as it is

Every source, every field, with its timestamp. Nothing is nominated as the system of record.

Resolved from evidence

Last login, ticket history and cloud tags corroborate the record or overrule it.

Inference labeled

Where sources are silent or disagree, the answer says so rather than posing as a fact.

The Record

One row per asset, rebuilt.

Owner

The accountable team, corroborated

Environment

Production, development, test

Business application

And the unit that pays for it

Coverage

Agent present, scanner reach

Lifecycle

End of life and end of support / SBOM with lead time


Before & After

From four inventories to one answer IT and Security trust

Before Kai
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Four partial inventories with no shared identity

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Owners chased by hand, ticket by ticket

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One or two reassignments per ticket

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Coverage numbers nobody trusts

With KAI

One asset record, rebuilt from evidence

An accountable owner on every finding

Fixes that route to the right team the first time

Coverage gaps raised as findings

Case Study

Ownership from 4% to 92% in under twelve hours

FORTUNE 50 ENERGY COMPANY

Kai rebuilt 250,000 assets from the evidence in the company’s existing tools and surfaced 30,000 assets its EDR had marked unmanaged.

4% to 92%
ownership coverage
250,000
assets
30,000
shadow assets surfaced
ONE ASSET, FOUR OPINIONS
CMDB
Agentic exploitation
Exploit validation
Attack paths
Endpoint
Fix generation
Impact prediction
Workflow fit
Cloud tags
SAST triage
Reachability
Calibrated confidence
Logins, tickets
Guardrail testing
Agent red teaming
Model supply chain
Tier 1
RECORDED
Business application

From the configuration record

Tier 2
RECORDED
Business unit

Configuration record, cloud tags as fallback

Tier 3
INFERRED, LABELED
Location

Cloud region tag, no record to confirm it

Corroborated by who has been logging in and who has been receiving the tickets. Where sources conflict, the inference is labeled rather than promoted to a fact.

ACCOUNTABLE OWNER
4% to 92%
Payments Platform

Ownership coverage, under twelve hours

Guardrails

An inventory you can defend in any audit

Attribution with evidence
Each owner traced to a source, so IT and Security can verify.
Inferences are labeled
Where sources disagree, Kai says so rather than promoting a guess to fact.
Nothing replaced
The CMDB and ITSM stay. Kai feeds the workflow you already run.
Read only and agentless
Kai reads the sources you already run. Nothing is deployed to start.

Frequently asked questions

Where does the asset record come from?

Kai reads the inventories you already run, including the CMDB, endpoint management, vulnerability scanners, cloud posture, identity and source control, and rebuilds each asset from the evidence they hold rather than trusting a single system of record.

How is ownership resolved?

In three tiers: business application, business unit and location, corroborated by login and ticket history. At a Fortune 50 energy company this took ownership coverage from 4% to 92% across 250,000 assets in under twelve hours.

What about the assets nobody knew about?

The same engagement surfaced 30,000 assets that endpoint tooling had marked unmanaged. Kai returns them to EDR and scanning coverage and flags end-of-life software with enough lead time to plan the upgrade.

Why does this matter for remediation?

Every downstream decision depends on the owner, the environment and the business application being right. With the record rebuilt from evidence, fixes route to the right team first time, priorities match the business, and nothing is worked twice.

Cyber Asset Attack Surface Management

Find out who owns your estate.

Connect the asset sources you already run. We will rebuild the record and show you the owners, environments and blind spots your current inventory cannot resolve.