Add AI security capability without replacing the product or relationship you already own.
Use the OEM Engine, portable interoperability contracts, and partner-specific delivery models to add selected AI application security capabilities behind an existing product or service. Start with one bounded workflow, return the result through the partner's native experience, and expand only when the integration creates measurable value.
Start with what the partner wants to own.
The right route depends on whether the partner owns the product, the sale, service delivery, or the integration boundary.
Embed in your product
- Own the product and user experience
- Co-brand or white-label options
- Best for OEM and scanner integrations
Add context to your attack platform
- Ingest AI-native signals and evidence
- Enhance attack engine and reporting
- Best for offensive and adversarial platforms
Exchange findings or workflow state
- Share findings, evidence, or workflow state
- Use native schemas and contracts
- Best for interoperability partners
Deliver through your service or training channel
- Deliver assessments, training, or services
- Use reference workflows and playbooks
- Best for delivery and training partners
What the Partner Program Brief covers
The brief routes prospects into the right partner motion before technical scoping or commercial negotiation.
Which route matches the partner: OEM, scanner provider, offensive platform, MSSP, consulting, reseller, private label, white label, workforce platform, or technology alliance.
How the partner can sell, deliver, embed, license, or expand the capability without confusing ownership, support, or customer commitments.
The correct first action: pilot packet, service catalog, application, practice launch pack, license brief, integration proposal, or native contract request.
One partner program entry point, distinct partner motions
Each model defines who it is for, what the partner keeps, what AI Security LLC adds, and the first commercial step.
Scanner Providers
Need AI-native findings inside an existing scanner? Add AI-specific code findings, connected system and authority context, optional Attack Path Analysis, and evidence lifecycle support without replacing the scanner.
- AI-specific findings module
- SARIF and JSON output mapping
- OEM pilot conversion path
Offensive and Adversarial Platforms
Already generate attacks, traces, or reproduced failures? Add approved system, authority, code, and evidence context around existing adversarial results, qualify supported paths, and return the result to the offensive platform.
- Connected context ingestion
- Evidence and path-state signals
- Adversarial testing modules
OEM Engine
Need selected capability inside your product? Invoke one bounded Workbench capability or an approved module set through versioned contracts and return structured results through your own product.
Workforce Readiness
Need role, assessment, and readiness intelligence inside a training or workforce platform? License role architecture, job-market signals, assessment objects, scoring boundaries, readiness evidence, and reporting while keeping the partner's learner and enterprise experience.
Partner Interoperability
Need two products to exchange findings, traces, paths, remediation, or evidence? Use portable contracts, canonical adapters, partner profiles, lifecycle mappings, and explicit maturity labels before making named compatibility claims.
MSSP Partners
Build recurring managed AI security services while retaining the customer relationship and first-line delivery.
Consulting Partners
Use Workbench methods, instruments, evidence structures, and delivery playbooks inside a partner-led consulting practice.
Reseller Partners
Resell defined AI Security LLC products, programs, or services without implying technical integration.
Private-Label Partners
Deliver approved services or outputs under the partner's brand with explicit quality, claim, evidence, and support boundaries.
White Label
For strategic partners needing product-level brand control. You keep naming and distribution; AI Security LLC adds licensed capability and audit controls.
Distinct motions. Shared partner foundation.
Every route uses the same underlying contract, evidence, interoperability, enablement, and support foundation while preserving different ownership and commercial boundaries.
- Canonical contracts
- Evidence and interoperability
- Partner workspaces
- Enablement and support
Add capability without surrendering the product or customer.
Your product, brand, account, workflow, and customer relationship remain yours. AI Security LLC supplies the selected engine, contract, evidence model, and integration support. AI Security LLC does not contact, market to, or contract around the partner's end customers unless explicitly authorized.
Product, workflow, UI, orchestration, customer, and commercial model
Primary input: repository, finding, trace, workflow object, configuration, or approved context. Returned object: versioned structured result through the partner product.
Scanner, target management, issue lifecycle, reports, and customer relationship
Primary input: finding, scan result, evidence, repository selection, or target context. Returned object: enriched finding, code-risk context, optional path state, remediation, and retest.
Attack engine, campaign orchestration, session identity, attack intelligence, UI, and customer relationship
Primary input: attack result, finding, campaign, reproduced behavior, or runtime trace. Returned object: connected context, qualified path state, evidence, chokepoints, and retest state.
Customer relationship, scope, recurring delivery, reports, account management, and first-line support
Primary input: customer application, workflow, evidence, findings, or program state. Returned object: managed-service findings, evidence, remediation, reporting, and renewal state.
Learner experience, content surface, enterprise customer, training workflow, and brand
Primary input: role, learning, assessment, learner, or cohort objects. Returned object: role mapping, readiness evidence, scoring context, gaps, and reporting.
Match your role to a starting point
If none of the programs above were an obvious fit, start from the relationship you already own.
You own a software product
Start with OEM Engine or Technology Alliance depending on whether you need embedded capability or workflow integration.
You operate a scanner
Start with Scanner Providers and validate invocation, output mapping, SARIF, and severity normalization.
You operate an attack platform
Start with Offensive & Adversarial Platforms and scope Attack Path Analysis context, trace ingestion, and remediation outputs.
You deliver recurring services
Start with MSSP and map Workbench modules to managed-service offers, customer-org reporting, and support boundaries.
You deliver advisory engagements
Start with Consulting or Private Label depending on whether you need practice enablement or branded client delivery.
You sell third-party solutions
Start with Reseller and confirm fit, territory expectations, deal registration, quoting, and renewal ownership.
You need your own product identity
Start with White Label if the customer-facing product identity, packaging, or sublicensing rights must be partner-controlled.
You run a learning platform
Start with Workforce Platform White Label for role taxonomy, assessments, labs, readiness scoring, and workforce intelligence.
Request the brief that matches the route
Each route has a partner-specific conversion asset instead of one generic platform packet.
Partner Program Overview
A route-neutral brief that explains partner models, fit criteria, commercial paths, and next steps.
OEM Pilot Packet
Pilot scope, invocation options, output contracts, success criteria, support boundary, and conversion path.
Scanner Integration Brief
Scanner-provider fit, SARIF and JSON mapping, fixture validation, severity normalization, and productization path.
Offensive Platform Attack Path Analysis Pilot Brief
Attack-path context, trace ingestion, validation workflow, remediation packaging, and launch criteria.
MSSP Service Catalog
Managed-service offers, cadence, customer inputs, Workbench modules, partner outputs, and expansion path.
Consulting Practice Launch Pack
Practice enablement, scoping assets, SOW templates, QA rules, report examples, and first engagements.
Reseller Program Guide
Eligibility, registration, opportunity protection, quoting support, enablement, renewals, and support boundaries.
Private Label versus White Label Guide
Plain-language comparison of service branding, product branding, attribution, IP boundaries, and obligations.
Technology Alliance Integration Brief
Build, validate, and launch lifecycle with contract mapping, fixtures, support ownership, and compatibility rules.
Workforce Platform Partner Pack
Role taxonomy, labs, assessments, scoring, platform packaging, and white-label productization guidance.
Native Contract Request Checklist
Checklist for representative API objects, findings, traces, schemas, test tenants, and secret-boundary review.
Pilot first. Production terms only after value is demonstrated.
Every partner motion resolves into the same three-part commercial shape once fit is confirmed.
Pilot
A fixed-scope fee covers one representative workflow, agreed acceptance criteria, technical reviews, and a documented production decision.
Production license
Recurring terms are based on the selected capability, deployment model, customer or usage scope, redistribution rights, and support level.
Optional additions
Production adapter work, offline deployment, white-label rights, enhanced support, implementation assistance, and other negotiated commercial rights.
What the agreement defines
Exact fees, minimums, license units, margins, support commitments, and any category-specific rights are defined in the applicable proposal, SOW, and license. A successful pilot does not automatically create exclusivity or unrestricted redistribution rights.
Choose the right commercial model
AI Security LLC separates its commercial motion—how organizations buy, embed, operate, and scale the platform—from the technical capabilities themselves.
Shared licensing orientation
Licensing follows the partner motion: embedded product rights, managed-service delivery rights, resale rights, private-label service rights, white-label product rights, or enterprise site licensing.
Enterprise Site License
Organizations that want AI security tooling, evidence generation, private workers, Academy access, and negotiated usage capacity.
- Organization-level entitlements
- Private worker support
- Negotiated credits
- Procurement and security review
OEM Embedded License
Scanner vendors and security platforms that want to embed the OEM Engine inside their existing product.
- Partner license
- Customer-org tracking
- Usage rollups
- Redistribution rights
MSSP License
Managed security providers selling AI security assessments and monitoring as a managed service.
- Customer-org reporting
- Managed delivery rights
- Usage credits
- Support boundaries
White-Label License
Strategic partners that need customer-facing brand control, custom report language, and embedded packaging.
- Branding rights
- Output customization
- Higher support obligations
- Audit rights
Shared deployment orientation
Deployment should follow the partner's customer relationship, data boundary, product architecture, and support obligation.
SaaS control plane
The AI Security LLC web platform governs organizations, credits, entitlements, users, reports, and commercial records.
Local worker
Sensitive repositories, traces, prompts, and artifacts stay local while entitlement and usage sync remains platform-controlled.
OEM sidecar
A partner invokes the OEM Engine through CLI or localhost HTTP and ingests native JSON, SARIF, and evidence outputs.
Air-gapped deployment
Signed offline license grants and controlled update processes support highly sensitive environments.
Prove one workflow before expanding the relationship.
From fit to production: the same five stages apply whether the motion is OEM, MSSP, reseller, private label, white label, or a technology alliance.
Fit review
Confirm the partner motion, capability, customer ownership, deployment boundary, and expected commercial outcome.
Representative fixture
Select one bounded input and the minimum context needed to test material value.
Bounded pilot
Run one selected capability against one agreed contract and return path.
Acceptance decision
Record what passed, failed, remains unresolved, or is excluded.
Production terms
Agree licensing, deployment, support, versioning, redistribution, claims, and launch responsibilities.
Move from partner fit to supported commercial motion.
A credible partner path advances through motion selection, qualification, representative proof, commercial fit, integration, launch, and evidence-based expansion.
A pilot proves the relationship and operating model. Production rights, support obligations, and expansion follow only after the evidence and commercial terms support them.
Start with one bounded partner workflow.
Define the partner-owned experience, representative input, selected capability, data boundary, native return object, lifecycle behavior, success criteria, support boundary, and production decision.