software engineering • research lab • evidence-first delivery
Zeid Data is a software engineering & research lab focused on deterministic security analytics, automation, and governance you can prove.
Software you can ship, research you can cite, and outputs you can defend.
Custom tooling, integrations, and automation designed for operators: non‑interactive runs, clear failure modes, and artifacts your pipeline can actually use.
Investigations and experiments that turn “interesting” into runnable artifacts—detections, studies, templates, and repeatable analysis.
Compliance is a byproduct of good engineering. We wire in evidence, controls, and retention so the audit trail exists because the system does.
Our public work lives on GitHub: real code, real artifacts, and the receipts behind the claims.
We keep the system fast and the trail complete: lineage, access, change history, and decision logging baked in so “prove it” becomes “here you go.”
Pick a starting point. Fixed build sprints or an ongoing lab partnership.
Ship a tool
Make it operational
High assurance delivery
Pricing shown as Sprint vs Partnership to keep this page flexible—final scope depends on your environment, access constraints, and assurance requirements.
Clean steps, crisp deliverables, and evidence that survives contact with reality.
Quick answers. For scope, we’ll map it in a short call.
A meaningful chunk is. Our public lab lives on GitHub, and we use it as a living reference for our engineering style and artifacts. Some client work is private by necessity — but we keep the same discipline either way.
Yes—depending on access constraints. We can deliver with offline documentation, controlled transfers, and procedures that match your security posture.
That’s the normal path. We focus on practical integrations—data sources, SIEM/logging, CI/CD, and governance—without forcing a rip‑and‑replace.
We treat AI like any other system: define scope, protect data, log actions, add approvals, and keep clear boundaries between sensitive and non‑sensitive workflows.
Goals, a shortlist of systems and data sources, and your assurance requirements. We’ll translate that into milestones, artifacts, and a build plan.
Every workflow produces durable artifacts: logs, exports, reports, hashes, change history, and run metadata — so decisions can be verified later without memory archaeology.
Tell us what you’re trying to ship. We’ll respond with a practical plan and the first set of milestones (and a calm explanation of why “just wing it” is not a control).
Note: Badge graphics shown on this page are decorative and do not imply formal certification by any third party unless separately documented.
