Easy to start. Built for sensitive data.

Is your business data safe?

Stormhold Security helps Nebraska and Midwest organizations identify exposed risk, test critical systems, and use local-only AI workflows that keep source code, intellectual property, and regulated data inside your control.

No automated scan is launched from this form. Stormhold uses it to start a scoped, authorized review conversation.

AI Code Review Web App Pentesting Private AI Systems Data Exposure Review
Exposure Systems AI Controls Reports
Risk workspace Stormhold assessment view
Live scoping
External assetsMapped

Domains, apps, APIs, remote access, and exposed services.

Local AIPrivate

Code and application context stay in local review environments, not public model pipelines.

RemediationPrioritized

Clear fixes ordered by likelihood, impact, and business urgency.

Public login pathsNeeds review
Cloud storage exposureValidated
AI document workflowDesign controls
Endpoint and identity postureNext step

Built for teams handling

Client Records Patient Data Financial Files Operational IP Source Code Regulated Workflows

Know what to fix, and how to fix it

Discover your digital footprint before attackers do.

Stormhold combines security testing, attack-surface review, and private AI architecture so owners and technical teams can see where data is exposed and what should be changed first.

01

Map visible risk

Review domains, applications, APIs, identity paths, remote access, vendor dependencies, and public-facing services.

02

Protect code and private AI work

Use local-only AI systems around data boundaries, source-code privacy, access controls, logging, and practical usage patterns.

03

Turn findings into action

Get plain-language reporting, technical detail, and prioritized remediation support without inflated enterprise overhead.

Security and AI services

One partner for risk review, testing, and controlled AI adoption.

Stormhold focuses on the work that reduces real exposure: finding weak points, improving controls, and using local AI automation that does not leak source code or sensitive information to public systems.

Code

AI-Powered Code Review

Security-focused review of repositories, pull requests, and risky code paths using local AI assistance plus human validation.

  • Auth logic
  • Data flow
  • Secrets
  • Dependencies
Application

Web App Pentesting

Local AI-assisted web application and API testing designed to be Mythos-class at identifying vulnerabilities, with controlled validation and developer-ready evidence.

  • OWASP
  • APIs
  • Business logic
  • Validation
AI

Private AI Systems

Local, on-prem, or private-cloud AI architecture for teams that need search, summarization, agents, and automation without public model leakage.

  • Local LLMs
  • RAG
  • Agents
  • Access control
Industry-ready reporting

Clear findings for leaders. Technical detail for fix owners.

  • Risk-ranked findings with business impact
  • Remediation guidance your team can act on
  • Support for regulated and sensitive-data workflows
  • Private AI controls reviewed before deployment

Different industries have different risks

Support for local businesses with serious data obligations.

Legal, healthcare, finance, logistics, energy, and SMB teams all need practical security decisions. Stormhold keeps the work scoped, understandable, and tied to the systems your team actually uses.

LegalCase files
HealthPatient data
FinanceClient records
LogisticsDispatch ops

Simple path to better security

From first review to ongoing confidence.

01

Scope the risk

Start with a domain, application, workflow, or AI use case and define what is authorized for review.

02

Test and design

Validate exposure, review controls, and design secure private AI or remediation patterns where needed.

03

Fix and monitor

Prioritize changes, support retesting, and build a roadmap your business can maintain.

Start with a clear conversation

See the risks around your data before someone else does.

Stormhold can assess your current exposure, identify useful AI opportunities, and design a secure path from prototype to production.