Secure your business future
Stormhold helps teams review code, test web applications, and deploy private AI without exposing source code, application context, or sensitive data to public model pipelines.
Find flaws before release
Review repositories, pull requests, and sensitive code paths with local AI assistance that preserves intellectual code privacy. Stormhold uses AI for coverage and reasoning, then applies human security validation before reporting.
Uncover vulnerabilities before attackers do
Test applications with local AI-assisted exploration designed to be Mythos-class at identifying vulnerabilities, paired with real offensive tooling and controlled validation.
Keep sensitive data in bounds
Design local, on-prem, or private-cloud AI workflows for internal search, summarization, agents, document review, and secure code assistance without public model leakage.
Proof over noise
Turn security concerns into a prioritized action plan. Stormhold separates weak signals from confirmed risk and gives leaders and technical teams the right level of detail.
Why Stormhold
Stormhold is designed for organizations that cannot toss source code, regulated data, or production systems into a black-box workflow and hope for the best.
AI-assisted review is designed around local or private processing so proprietary code and application context stay out of public model pipelines.
Stormhold separates discovery from validation so findings are tied to impact, reachability, and developer remediation steps.
The work is shaped by real pentest and red-team thinking, but delivered as safe, prioritized, business-readable guidance.
Visual workflows
These diagrams are simplified snapshots of the engagement flow your team can expect.
Approved code is reviewed locally, broken into focused agent objectives, validated, and turned into developer-ready remediation.
Testing starts with authorization and ends with evidence-backed findings your team can reproduce and fix.
Private AI workflows are designed around access boundaries, retrieval controls, local inference, and audit trails.
Weak signals are filtered until a finding has enough evidence, impact, and remediation context to matter.
What you receive
Questions buyers ask
Short answers for scoping, privacy, authorization, deliverables, and production safety.
Stormhold scopes pricing by service type, asset complexity, authorization needs, timeline, and deliverables. The site intentionally does not publish generic package pricing.
Start with code review for repository or pull-request risk, web app pentesting for live application risk, and private AI design for sensitive-data automation.
No. Forms start a scoping conversation only. Testing requires confirmed authorization, boundaries, and safety rules.
Stormhold focuses on the Midwest and supports remote work for organizations with sensitive code, applications, and data workflows.
Contact us to learn more about services
Send the starting point: a repo, web app, API, private AI workflow, or security concern. Stormhold will help shape a safe, scoped review.