Targets, permissions, accounts, data handling, and business constraints are defined first.
Engagement process
Clear scope, validated findings, secure build path.
Every engagement is designed to produce decisions your team can act on: what was tested, what was proven, what needs fixing, and how to verify the fix.
Engagement model
Bounded, observable, and evidence driven
Client-approved
Local AI-assisted analysis and offensive tooling are paired with controlled proof.
Findings are prioritized with remediation direction and retest options.
01
Discovery and authorization
Understand business goals, regulated data, systems, vendors, current controls, and the exact targets authorized for review.
02
Threat and data mapping
Map sensitive data flows, attack surface, identity boundaries, application roles, repositories, and AI workflow constraints.
03
Local AI-assisted testing or review
Run code review, web app pentesting, private AI assessment, or combined testing based on the approved scope while keeping code and application context private.
04
Validation and reporting
Deliver prioritized findings with evidence, impact, reproduction notes, architecture recommendations, and fix guidance.
05
Remediation and retest
Support implementation, harden controls, retest fixes, and help the system move from known risk to measurable improvement.
Ready to scope?
Start with the target, repository, or workflow you need reviewed.
Stormhold will help define safe boundaries and the right testing approach before work begins.