Security-First Design
Controlled automation with fail-safe boundaries and independent verification.
CyberDefender is a security-first XDR platform designed around controlled automation, fail-safe boundaries and independently verified security decisions.
Controlled automation with fail-safe boundaries and independent verification.
Detection → Correlation → Attack Graph → Risk → Controlled Response.
Endpoints, network, cloud, email and data security in a unified platform.
Multi-tenant, scalable and suitable for organisations and families.
Security-critical decisions remain separated across evidence, risk, policy, safety, verification and recovery.
CyberDefender's planned pilot scope focuses on endpoint onboarding, telemetry validation, detection, correlation, risk and operator recommendations. Destructive autonomous actions are intentionally excluded from the initial pilot.
Ask about CyberDefender architecture, the commercial pilot, Safety Core, Risk ≠ Authorization, AI boundaries, deployment and recovery.
CyberDefender is in R&D/MVP stage preparing for pilot deployment. This trust center documents the public security boundaries we can state today without presenting planned capabilities as production facts.
Public website, authenticated Owner panel and machine API are kept on separate routes and security boundaries.
The planned pilot prioritizes monitoring, detection, correlation, risk and recommendations rather than destructive autonomous response.
The public assistant cannot access Owner credentials, fleet tokens or directly execute privileged OS actions.
CyberDefender does not claim SOC 2, ISO 27001 or equivalent certification on this R&D/MVP-stage website unless independently obtained later.
Technical questions, pilot onboarding and responsible security reports are kept on separate paths. Never send passwords, tokens, private keys or sensitive incident evidence through a public form.
Submit only business contact and pilot-scope information. Do not submit passwords, tokens, incident secrets or sensitive customer data.