Unknown or weakly profiled assets
Discovery results remain difficult to govern when identity, lifecycle and ownership are fragmented.
Cyobik connects asset data, vulnerabilities, internal exposure, controls and relationships to produce explainable cyber risk evidence at asset and organisation level.
Scanners, infrastructure tools and security platforms each show part of the picture. Cyobik creates a maintained internal model that ties findings to real assets, business impact and control evidence.
Discovery results remain difficult to govern when identity, lifecycle and ownership are fragmented.
A vulnerability or exposure does not explain priority until it is connected to asset impact and relationships.
Executive scores are useful only when teams can drill down to the assets and conditions driving them.
Each stage adds verified operational context to a shared asset model.
Use gateways, supported adapters, endpoint agents, manual creation and file import.
Maintain hardware, software, services, users, patches, network data and lifecycle context.
Record observed connections and business-service membership with business impact.
Evaluate vulnerabilities, internal exposure and predefined compliance controls.
Use Visibility, Protection and Risk Scores with drill-down evidence.
Measures completeness and usability of asset knowledge.
Evaluates protection posture using supported security, exposure, vulnerability and compliance factors.
Expresses asset and organisation risk using Impact × Likelihood.
Values are illustrative and do not represent a customer environment.
Discovery, onboarding, inventory, change history, networks, relationships and business services.
Scores, vulnerability assessment, internal attack-surface analysis, dashboards and reports.
Control-based reporting for CIS Benchmarks, PCI DSS and ISO/IEC 27001 within documented scope.
Cyobik is not an external attack-surface discovery platform, generic threat-intelligence platform, SIEM, SOAR or universal dependency-mapping engine. Its value is the internal asset-risk evidence layer connecting supported data to explainable decisions.
Start with an executive risk view, then drill down to the exact assets, vulnerabilities, exposures and control gaps driving the result.