Security Strategy & Architecture
Shaping the target operating model, cloud and identity architecture, and governance structures that stand up under scrutiny.
Microsoft security architectureZero TrustGovernance design
How CyberZonic Is Built
Founder-led delivery, specialist roles on demand, and a governed AI workforce — described honestly.
Most consultancy team pages show a stock-photo org chart and invented headcount. We would rather tell you the truth: a small, senior human team leads every engagement, specialist capability is brought in when a client needs it, and AI is used transparently as part of the delivery workforce under human governance.
Founder
Human-led, senior by default
CyberZonic is a founder-led consultancy. Every engagement is scoped, run, and signed off by a named senior practitioner — not a junior handed an account after the proposal is signed. If you talk to us in the scoping call, that is the person responsible for the outcome.
Specialist capability (penetration testing, forensic response, regulatory assurance) is brought in under a named delivery lead when an engagement requires it. We do not pretend to carry a 40-person permanent bench.
Detailed founder bio, photo, and LinkedIn profile will be published once the final legal-entity details are confirmed. Until then, we would rather publish nothing than publish a stock photo.
Delivery capability
The disciplines we deliver from — every engagement is led by a senior practitioner in the relevant area.
Security Operations & Detection Engineering
Sentinel analytics, Defender tuning, detection engineering, runbooks, and the operating cadence that keeps monitoring usable day-to-day.
SentinelKQLSOC operating model
Identity, Endpoint & Cloud Hardening
Entra Conditional Access, PIM, Intune, Defender for Cloud, Key Vault, Private Link, and landing zone uplift.
Entra IDIntuneDefender for Cloud
Governance, Risk & Compliance
ISO 27001, Cyber Essentials, NIS2 readiness, data protection, and the evidence packs assurance reviewers actually ask for.
ISO 27001Cyber EssentialsAssurance evidence
How we work with AI
Transparent about the AI workforce — because hiding it would be worse than using it.
Most consultancies now use AI to accelerate research, drafting, and tooling work. Most do not say so. We use AI openly as part of the delivery workforce, under human review and governance, because dishonesty about the tools behind a deliverable is a bigger risk than the tools themselves.
Research and drafting
AI drafts research, first-pass assessments, documentation, and evidence summaries. Every output is reviewed by a named human before it reaches a client artefact.
Detection engineering and tooling
AI accelerates KQL query design, runbook drafting, policy mapping, and config review. All production detections and policies are reviewed against the real environment before being committed.
What AI never does
AI does not make governance calls, sign off on risk acceptance, talk to clients unsupervised, or close engagements. Those decisions stay human, owned, and named.
Talk to the team