vlkn:~$ deploy --mode=provider --keep-control

Your methodology. Your models.
Your infrastructure.

AI-powered, autonomous penetration testing that is structural, not instructed. Use individual discovery, testing, validation, and reporting modules or run the complete workflow. Choose VLKN-tuned models or bring your own qualified models, with deployment on VLKN, provider, or client infrastructure. Build your service on VLKN while keeping your methodology, expert approval, brand, pricing, and client relationships.

See if VLKN fits your practice → See how the system works

built for security service providers

service_owner: provider
scope: web + API + network + LLM
methodology: provider-controlled
human_review_gate: required before client delivery
model_route: VLKN / partner / client-approved endpoint
deployment: managed / partner cloud / client cloud / on-prem
report_brand: provider
client_relationship: provider-owned

## why providers use vlkn

Your service. Your operating decisions.

Adopt the parts of VLKN your practice needs without replacing your entire workflow. You decide what runs, where it runs, and how the results become your service.

[01]

Control the workflow

Use individual modules or the complete autonomous workflow. Keep your existing tools and practitioner judgment in the process.

[02]

Choose models and deployment

Use VLKN-tuned or qualified third-party models. Choose supported infrastructure and inference locations to fit client requirements and your economics.

[03]

Own the service

Your team retains methodology, final approval, branding, pricing, and the client relationship.

## structural, not instructed

Testing requirements live in the system. Not just the prompt.

VLKN does not rely on a model remembering to be thorough. Its orchestration enforces discovery, shared context, endpoint-by-attack-type testing, validation, and reporting as explicit workflow requirements. Your practitioners choose the scope and modules. The system governs execution. Models supply reasoning inside that structure.

01Discover rendered applications, client code, APIs, identities, roles, state, and network services.

02Build shared context across accounts, sessions, resources, modules, and prior test output.

03Enforce testing of discovered endpoints against every relevant attack type.

04Validate findings, remove duplicates, preserve evidence, and assemble the report artifact.

why this mattersThe model can change. The pentesting machine remains.

## operating model

Your practice stays yours.

VLKN sits underneath your service. It gives your team more execution capacity without taking over the work clients trust you to own.

[YOU KEEP]

The parts clients trust you for

Authorization, scope, and methodology
Human judgment, investigation, and final signoff
Brand, packaging, pricing, and margin
Remediation guidance and the client relationship

[VLKN HANDLES]

The structural execution machinery

Multi-perspective discovery and contextual mapping
Repeatable testing across web, API, network, and LLM
Authentication, roles, sessions, and resource ownership
Validation, deduplication, evidence, reporting, and retesting

## model and deployment control

Your model. Your cloud. Your rules.

Use VLKN-tuned models or qualified model endpoints you control. Choose the inference location, data path, deployment profile, and cost structure that fit each engagement without rebuilding the testing system.

[01]

VLKN hosted

VLKN models + VLKN infrastructure

Fastest path to production

[02]

Your cloud, our models

VLKN-tuned intelligence in a provider or client-controlled environment

Data-boundary control

[03]

Your cloud, your models

Qualified model endpoints and infrastructure you control

Inference and cost control

[04]

Fully private

Approved local inference and on-premises deployment

Restricted, sovereign, or air-gapped environments

## review burden

Finished evidence. Not a pile of machine output.

Automation only creates leverage if it reduces work after the test. Findings pass through validation, duplicate removal, evidence packaging, and report generation before your team reviews the deliverable.

VLKN prepares

Reproducible evidence and affected scope
Validated and deduplicated findings
Draft remediation guidance and report artifact
Historical context for retesting

Your experts decide

Whether the evidence meets your methodology
Where deeper manual investigation is warranted
What reaches the signed client deliverable
How the result is explained and remediated

## point-in-time to continuous

Start with capacity. Expand into recurring revenue.

[NOW]

Augment current engagements

Use VLKN for discovery, individual testing modules, validation, reporting, retesting, or autonomous execution through the provider review gate.

[NEXT]

Offer continuous testing

Retain authorized scope, identities, roles, and context. Rerun on a schedule or change event and deliver remediation and trend reporting under your service.

## build or buy

An agent is a weekend. A maintained pentest platform is a company.

VLKN gives you the complete operating layer behind the agent: more than 90 maintained modules, shared attack context, authentication and role handling, validation, evidence, reporting, model routing, safety controls, deployment profiles, and continuous operation.

Build the offering your clients buy. Do not inherit another software company to maintain.VLKN supplies the machine underneath.

## provider trust

Your clients remain yours.

The platform sits behind your delivery model, with the boundaries a multi-client service needs.

[01]

White-label delivery

Your domain, brand, client communication, service packaging, and final report workflow stay in front.

[02]

Isolated client environments

Keep credentials, findings, evidence, and engagement state separated across downstream customers.

[03]

Provider-controlled delivery

Your team decides what reaches the client, when it is delivered, and how it is explained.

## provider faq

Questions, answered.

Does VLKN replace our pentesters?

No. VLKN expands execution capacity. Your experts retain scope, methodology, investigation, judgment, final approval, and the client relationship.

Can we use individual modules without running a complete pentest?

Yes. Use VLKN for discovery, selected testing modules, validation, reporting, or retesting within your existing workflow. Run the complete autonomous workflow when that fits the engagement. Your team decides how much of the process VLKN handles.

Can we use our own models and infrastructure?

Yes, through qualified models, compatible endpoints, and supported deployment profiles. Each production configuration is validated for the roles and capabilities it must support.

What does our team do after VLKN runs?

Your experts review an evidence-backed, deduplicated report artifact, investigate edge cases, make methodology decisions, and approve what reaches the client.

Can we deliver under our own brand?

Yes. Provider deployments can support branded delivery, isolated client workspaces, and provider-controlled reporting and communications.

Can we begin with point-in-time work?

Yes. The immediate job can be capacity on current engagements. The same retained context and retesting workflow can then support a recurring service.

How is this different from building our own agent?

This isn't an instructed agent. This is a structural platform. Building and maintaining the full system around it is the harder part. VLKN reflects more than a year of full-time development across discovery, shared context, 90+ maintained modules, authentication and role handling, orchestration, validation, evidence, reporting, controls, and supported deployments. We give your team that complete operating layer without requiring you to build and maintain another software product.

## see if vlkn fits

See if VLKN fits your practice.

Bring an example of how your team delivers a pentest today. We will identify where VLKN could fit, demonstrate the relevant modules and controls, and discuss model choice, deployment, reviewer effort, and the economics of a first evaluation.

This is a working session, not a generic product tour. We will cover:

Your current service mix and delivery bottlenecks
Where autonomous execution could fit your methodology
Human review, branding, model, and deployment requirements
Whether there is a useful first engagement to evaluate together

Prefer email? partners@vlkn.ai

Request received.

We will reach out shortly to learn how your practice works and see where VLKN may fit.