Raylee Hawkins Detection engineer · SOC production
Building a governed detection engineering SOC and AI-assisted production system — proof-bound, evidence-routed, quality-controlled.
Manufacturing quality control taught the discipline. Detection engineering inherits it: standard work, traceability, defect control, escalation, and gates that decide what can be claimed.
Focus
Detection engineering and SOC automation
Where the work lives day-to-day, and what it produces.
Detection engineering
Detection-as-code: reviewable source, deterministic validation, bounded claims. Source presence does not prove runtime.
SOC production
Closed engineering loops: source → validation → verifier → CI → record. Every step has a gate; no step skips one.
AI-assisted
AI accelerates drafting, scaffolding, and review. AI never owns the promotion boundary.
Methodology transfer
Manufacturing QC → detection engineering
The same discipline, mapped.
AI governance
AI is labor. Governance is authority.
AI accelerates the work — drafting detections, scaffolding validators, surfacing review notes. Authority lives in deterministic verifiers, explicit evidence linkage, and operator-approved promotion gates.
Build loud · Verify hard · Claim tight · Ship receipts
- AI drafts. Verifier decides.
- Promotion requires evidence linkage, not model confidence.
- Public wording must clear the blocked-claim CI scanner.
Boundary
What HawkinsOperations is — and is not
Is
- Governed detection engineering SOC.
- Proof-bound security production system.
- Public reviewer surface with bounded claims.
Is not
- Autonomous SOC is blocked / not claimed.
- Production SOC is blocked / not claimed.
- Fleet-wide enterprise deployment is blocked / not claimed.
- Public-safe runtime proof is blocked / not claimed.
Routes