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.
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 combines discovery, Attack Surface Management, External Attack Surface Management, Cyber Exposure Management, Cyber Asset Attack Surface Management, attack path intelligence, AI risk correlation, security decision intelligence, remediation prioritization, and continuous exposure monitoring.
It maps external assets, infrastructure, cloud, network, web, API, identity, vendor, supply-chain, trust, reputation, compliance, and business exposure into one evidence-backed operating model. DNS, SPF, DMARC, TLS, headers, certificates, trust files, and indexing signals remain supporting evidence sources, not the product boundary. The public entry lane remains passive and safe. Private verified results, connector-backed context, authorized validation, and continuous monitoring activate only when ownership, scope, and approvals are established. KMayer Exposure Lens AI Professional: €349 per month (EUR) for one recurring monthly subscription, with no free trial. It automatically renews monthly until cancelled. This is a self-service digital software product delivered online. Paddle is used exclusively for the sale of software access and digital reports. Consulting, managed IT services, penetration testing, and other human-delivered services are not sold through Paddle.
- 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, provider, web, mail, certificate, indexing, trust, dependency, 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.
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.
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.
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.
Explore the operating model behind unified cyber exposure intelligence.
These capability pages explain how bounded evidence becomes asset context, exposure decisions, remediation, validation, and monitoring.
Unified Exposure PlatformSee how asset, exposure, trust, ownership, and decision intelligence connect in one operating model.ASM and EASM CapabilitiesReview the evidence boundaries, asset states, relationships, and governed workflows behind attack surface visibility.Exposure Capability MapExplore how discovery, correlation, decisions, remediation, monitoring, and AI trust capabilities fit together.
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
Quick answers
Fast answers to the questions serious buyers usually ask before they start.
What is KMayer Exposure Lens AI?
KMayer Exposure Lens AI is a Unified Cyber Exposure Platform that discovers external assets, maps relationships and attack paths, correlates technical and business risk, routes decisions to accountable owners, and supports verified remediation and continuous monitoring. The public lane uses 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.
