Unified Cyber Exposure Platform

Turn the external attack surface into decision-ready exposure intelligence and a governed path to closure.

KMayer Exposure Lens AI is a unified cyber exposure platform that continuously discovers and maps the attack surface across infrastructure, cloud, identity, web, APIs, vendors, third parties, and supply chains.

It correlates assets, relationships, possible attack paths, threat context, business impact, and accountable ownership into decision-ready intelligence, then guides prioritization, remediation, verified closure, and continuous exposure monitoring. Every conclusion remains evidence-backed and confidence-scored, with observed exposure, inferred relationships, and authorized validation clearly separated.

  • Continuous asset discovery and attack surface mapping
  • Attack path, threat, and relationship intelligence
  • AI risk prioritization and executive decision support
  • Remediation, CTEM closure, and continuous monitoring

Platform capability architecture

From digital discovery to exposure decisions, verified remediation, and continuous control.

Public exposure intelligence discovers and correlates public assets, infrastructure, providers, web applications, APIs, identities, vendors, supply-chain dependencies, and shadow-asset clues into a bounded external exposure view.

Private decision intelligence

Turn verified evidence into asset relationships, exposure paths, risk themes, business impact, owner context, executive reporting, and prioritized next actions.

The private workspace remains protected and becomes available only after recipient verification.

Authorized enterprise depth

Add approved cloud, identity, network, API, endpoint, vendor, compliance, connector, threat, and control evidence for CAASM context, validation, remediation, and continuous monitoring.

These capabilities activate only when ownership is verified, approved scope exists, and the required evidence is available.

Executive decision view

Compare the bounded public entry lane with verified and authorized enterprise exposure intelligence.

Decision factor

Public passive review

Safe first-pass visibility

Authorized enterprise review

Governed deeper decision quality

Discovery and asset intelligence

Discovers externally visible domains, hosts, providers, certificates, web paths, dependencies, and shadow-asset clues when supported by public evidence.

Adds approved cloud, network, endpoint, CMDB, identity, API, and connector evidence to reconcile known and unknown assets.

Scope, ownership, and business context

Keeps the anonymous entry passive and bounded while business email verification protects private results.

Uses verified ownership, approved scope, organizational context, and accountable owners to govern deeper analysis.

Cross-source correlation

Correlates public infrastructure, web, mail, certificate, trust, vendor, and indexing evidence without intrusive activity.

Correlates approved connectors and trusted exports with public evidence to strengthen CAASM relationships and confidence.

Threat and exposure intelligence

Identifies exposure themes, dependencies, control gaps, and possible attack-path relationships only where visible evidence supports them.

Adds approved threat, vulnerability, identity, secrets, data, cloud, and control context to validate exposure paths.

Risk and decision intelligence

Frames evidence confidence, trust impact, and priority questions for a private decision-ready review.

Combines technical severity, business impact, exploitability context, ownership, and timing into security decision intelligence.

Monitoring and control validation

Establishes an external baseline and supports later drift comparison when monitoring is enabled.

Tracks approved asset, control, threat, and posture changes with history, recurrence, and validation evidence.

Remediation and CTEM closure

Creates an owner-ready first action path without claiming anonymous validation or closure.

Coordinates remediation priorities, rechecks, residual risk, CTEM closure, and continuous proof within approved scope.

What executives usually need to see

Translate exposure into the visibility, context, ownership, and action leaders need.

Attack surface and asset visibility

See which internet-facing assets, providers, dependencies, cloud services, web applications, APIs, and shadow-asset clues require ownership or validation.

Exposure paths and dependency intelligence

Understand how assets, identities, vendors, services, control gaps, and possible attack paths relate, with inference clearly separated from verified evidence.

AI risk and decision intelligence

Combine confidence, technical exposure, threat context, business impact, timing, and accountable ownership into explainable priorities for leaders and operators.

Vendor, trust, and ecosystem intelligence

Connect third-party, supply-chain, brand, reputation, digital presence, and external trust signals to the business relationships they may affect.

Remediation and continuous validation

Route owner-ready action, confirm remediation evidence, record residual risk, prove CTEM closure, and monitor drift or recurrence when enabled.

Exposure operating model

Discover, map, correlate, prioritize, close, and monitor through one governed evidence chain.

Discover

Find external assets, infrastructure, providers, web and API surfaces, identities, vendors, dependencies, and shadow-asset clues when supported by evidence.

Map

Connect assets to owners, relationships, dependencies, controls, business services, and possible exposure paths while preserving scope and confidence.

Correlate

Bring together exposure, threat, vulnerability, identity, cloud, vendor, trust, control, and business evidence only where the source and authorization support it.

Prioritize

Use evidence confidence, technical severity, attack-path context, exploitability signals, business impact, ownership, and timing to guide decisions.

Close and monitor

Assign remediation, validate change, record residual risk, prove closure, and monitor drift or recurrence when the governed workflow is enabled.

Platform intelligence domains

One platform connects asset, exposure, threat, trust, business, and control intelligence.

Assets, infrastructure, and attack surface intelligence

  • Discover domains, hosts, providers, cloud services, network edges, web applications, APIs, identity surfaces, and shadow-asset clues when supported by evidence.
  • Map ownership, dependencies, vendor relationships, supply-chain context, and the difference between known, possible, and excluded assets.

Exposure, threat, and attack path intelligence

  • Correlate vulnerabilities, configuration gaps, threat context, identities, credentials, secrets, sensitive data, and cross-asset relationships when the approved evidence supports them.
  • Model possible attack paths, exposure chains, control gaps, and validation priorities without presenting inference as confirmed fact.

Risk, trust, and business decision intelligence

  • Connect technical exposure to trust, brand, reputation, compliance, control, due diligence, operational readiness, and business-impact questions.
  • Protocol, certificate, mail, header, trust-file, and indexing controls remain important technical evidence families within this broader intelligence model.

Exposure intelligence in motion

See how public evidence becomes a governed operating story.

Follow the signal path from visible external clues to context, confidence, ownership, and a clear next decision in the AI Rendering Story, then review the source-backed evidence-to-closure methodology.

The video starts when this story enters view. Use the sound control at any time.

Exposure intelligence assessment

Start an exposure intelligence assessment

Begin with a safe external assessment, then deepen only under verified ownership and approved scope.

1

Define the organization and target

Provide the business identity, recipient, and external target needed to establish the bounded assessment context.

2

Verify the recipient and assessment scope

The one-time verification step protects private access and confirms the recipient before the assessment workspace opens.

3

Open the private exposure intelligence workspace

After verification, the protected workspace shows processing status or the completed decision-ready result when it is available.

Protected request

Start the review with only the business context needed.

Complete three short steps. The request includes all organization, target, role, country, company-size, objective, authorization, and follow-up fields while keeping the public evidence boundary unchanged.

Organization and target

Tell us who should receive the secure verification email and which public domain should be assessed.

Role or department15 choices
Country243 choices
Company size4 choices
Primary objective7 choices
Assessment context

These fields are optional. Type to search each list or scroll through the available choices.

Review and consent

Confirm the recipient and target before KMayer sends the secure verification email.

Recipient
Not entered
Organization
Not entered
Public target
Not entered
Objective
Not selected

Verification and private result delivery are service emails for this request. Follow-up about remediation support is optional.

The next step is email verification. No charge or assessment starts when this request is submitted.

Private verified decision intelligence

Private verified results connect exposure evidence to decisions, owners, remediation, and continuous proof.

Executive Exposure Intelligence

A decision-ready view of external assets, material exposure themes, confidence, business impact, and the issues that deserve leadership attention first.

Asset and Exposure Graph

A connected map of assets, providers, dependencies, ownership clues, exposure relationships, and possible attack paths when supported by verified evidence.

Security Decision Intelligence

Evidence-weighted priorities that combine technical risk, threat context, trust, business impact, accountable ownership, timing, and approved next actions.

Remediation and Continuous Monitoring

An owner-ready path for remediation, recheck, CTEM closure, residual-risk decisions, drift monitoring, recurrence tracking, and continuous proof of change when enabled.

Inside the private workbench

A private exposure operations workspace, not a static report.

Exposure Lens AI organizes verified evidence into an operating surface for asset visibility, exposure paths, risk decisions, accountable remediation, executive reporting, validation, and continuous monitoring. This preview is illustrative only; it does not show customer data or a real review result.

Executive exposure viewBusiness impact
Asset and relationship graphEvidence provenance
Attack path intelligenceAccountable owner
Risk decision queueValidation and monitoring
Remediation and CTEM boardVerified closure
Evidence provenanceSource confidence
Business impactDecision context
Accountable ownerAction path
Validation and monitoringProof of change

Three governed intelligence layers

Public evidence, private decisions, and authorized enterprise context stay separated by scope and confidence.

Public external intelligence

Every anonymous request starts with bounded passive evidence. External assets, infrastructure, provider, web, mail, certificate, trust, dependency, and indexing signals establish an exposure baseline without intrusive testing.

Authorized enterprise context

When ownership and scope are approved, read-only cloud, identity, network, API, endpoint, CMDB, vendor, compliance, and control evidence can deepen CAASM context and asset reconciliation.

Threat and validation intelligence

Approved threat, vulnerability, credential, secrets, data, control, and trusted-export evidence can validate exposure paths, strengthen confidence, and support continuous control verification.

Advanced platform intelligence

The platform connects discovery, attack paths, risk decisions, and verified closure in one operating model.

Unified exposure graph

Connect discovered assets, infrastructure, identities, vendors, cloud services, APIs, dependencies, controls, and exposure relationships in one evidence-backed graph.

AI risk and business context

Correlate exposure, threat, confidence, exploitability context, trust, compliance, and business impact so technical signals become explainable security decisions.

Evidence-to-closure operating model

Route decisions to accountable owners, coordinate remediation, validate changes, record residual risk, prove CTEM closure, and monitor drift or recurrence when the workflow is enabled.

From exposure to accountable closure

Move from discovery to verified exposure reduction.

KMayer combines platform intelligence with operational delivery. We help validate exposure, assign accountable ownership, prioritize action, coordinate remediation, confirm closure, and monitor recurrence across infrastructure, cloud, identity, web, API, vendor, trust, and cybersecurity domains.

  • Owner-ready remediation and service paths
  • Recheck, validation, and closure evidence
  • Continuous drift and recurrence monitoring
Talk to KMayer

Quick answers

Fast answers to the questions serious buyers usually ask before they start.

What is an external attack surface management platform?

An external attack surface management platform continuously discovers, maps, and monitors internet-facing assets and exposures. KMayer Exposure Lens AI extends EASM into a Unified Cyber Exposure Platform that connects asset relationships, possible attack paths, technical and business risk, accountable decisions, verified remediation, and continuous monitoring. Public requests use passive evidence; private and enterprise depth activate only with verified ownership and approved scope.

Is it only a DNS, TLS, DMARC, or SPF checker?

No. DNS, TLS, DMARC, SPF, certificates, headers, trust files, and indexing are supporting evidence sources. The platform uses them alongside asset, cloud, web, API, identity, vendor, supply-chain, reputation, compliance, and business context to build exposure intelligence; it is not an MXToolbox replacement or a point checker.

What can the private platform bring together?

When ownership is verified, the private platform can bring together assets, relationships, attack paths, exposure themes, AI risk correlation, business impact, owner context, remediation priorities, CTEM closure evidence, executive reporting, and monitoring state. Connector or trusted-export context is added only when authorized and supported by evidence.

How is Exposure Lens AI different from a traditional scanner?

A traditional scanner usually reports findings from a scan. Exposure Lens AI connects bounded external discovery to ASM, EASM, CEM, CAASM context, attack path intelligence, security decisions, accountable remediation, validation, and monitoring. It does not perform unrestricted anonymous scanning, and deeper capabilities require approved scope.

Next step

Turn external exposure into an operating decision and closure program.

Start with safe external evidence, then expand into asset discovery, attack paths, risk prioritization, authorized validation, accountable remediation, and continuous monitoring.

Passive first Verified private result Governed enterprise depth Connector-aware when eligible KMayer-assisted remediation
01 Discover and map

Establish a bounded external inventory and connect assets, infrastructure, providers, dependencies, and ownership clues.

02 Correlate and prioritize

Combine exposure, threat, confidence, attack-path, trust, and business context into explainable owner-ready decisions.

03 Validate and remediate

Confirm material exposure, assign accountable ownership, coordinate action, recheck change, and record residual risk.

04 Monitor and prove

Track drift and recurrence, retain validation history, and maintain continuous proof of change when the workflow is enabled.

Keep the first step passive. Use the public review to see what is exposed, then bring KMayer in when the findings need validation, ownership mapping, prioritization, or remediation planning.

Deepen only with governance. Connector-aware and trusted-export context can improve confidence only when ownership, engagement, and approved evidence sources are in place.

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KMayer - IT Service Provider
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