The Methodology

AI-Augmented, Human-Led Security Assessment

AI should make a security team faster without taking the keyboard. This is how Zypheron runs an assessment: the operator owns scope, approval, and the report; the model reads workspace objects and proposes the next step.

Framing

IT and security leads at 50 to 500 person companies already know the expensive version of this work: an outside pentest that lands a PDF, then goes quiet until next year. The cheaper version is worse. A pile of scanners, a BloodHound run in one window, a cloud export in another, and a report assembled from screenshots nobody can retrace.

Zypheron is the workspace in the middle. Collection, identity, cloud, findings, and the report live in one local store. The assistant can see those objects because they are in the workspace, not because you pasted a summary into a chat box. Every suggested action still waits for a human.

The outcome we hold the methodology to: a board-ready report. No $50k pentest required.

Core Methodology

Six stages from scoped collection through identity graphs, hybrid cloud pivots, operator-approved AI, evidence objects, and a board-ready report.

Each stage names the workspace, the human decision, and what the model is allowed to do.

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