Operational models for deploying, supporting, securing, and auditing AI security programs.
Commercial operations define how the software is deployed, supported, secured, audited, and governed after the agreement is signed.
Operations paths
Clarify deployment, support, data processing, audit, implementation, and customer-success expectations before scale.
Deployment Models
Compare SaaS, local worker, private worker, OEM sidecar, hybrid, offline, and air-gapped deployments.
SLAs
Support tiers, response windows, escalation paths, partner support, and enterprise service levels.
Support
Commercial support options for OEM partners, MSSPs, resellers, enterprises, and private-label programs.
Security
Security controls for partner licensing, local workers, OEM binaries, tokens, signed outputs, and audit events.
Data Processing
Privacy, retention, local execution, customer evidence, audit trails, and partner deployment controls.
Audit and Reporting
Usage reporting, partner rollups, evidence traceability, customer org reporting, and reconciliation.
Customer Success
Success planning for enterprise, OEM, MSSP, reseller, startup, and private-label programs.
Implementation
Partner integration, OEM sidecar rollout, private worker setup, usage metering, and evidence export planning.
Make AI security commercially operable
A strong commercial package includes support boundaries, deployment patterns, audit records, security controls, and success planning.
Deployment Models
Compare SaaS, local worker, private worker, OEM sidecar, hybrid, offline, and air-gapped deployments.
SLAs
Support tiers, response windows, escalation paths, partner support, and enterprise service levels.
Support
Commercial support options for OEM partners, MSSPs, resellers, enterprises, and private-label programs.
Security
Security controls for partner licensing, local workers, OEM binaries, tokens, signed outputs, and audit events.
Data Processing
Privacy, retention, local execution, customer evidence, audit trails, and partner deployment controls.
Audit and Reporting
Usage reporting, partner rollups, evidence traceability, customer org reporting, and reconciliation.
Customer Success
Success planning for enterprise, OEM, MSSP, reseller, startup, and private-label programs.
Implementation
Partner integration, OEM sidecar rollout, private worker setup, usage metering, and evidence export planning.
Default OEM architecture
A partner product keeps its own UI, scheduling, reporting, customer accounts, and workflow while the SecEng engine supplies AI-specific security results.
Partner orchestrator
The partner scanner, Java application, AppSec platform, CI job, or managed-service workflow owns scheduling, customer context, and UI.
SecEng sidecar
A headless binary or localhost API receives bounded scan requests, validates local license state, and runs AI security modules.
Structured outputs
The engine returns JSON, SARIF, markdown, evidence bundles, and normalized finding metadata suitable for native ingestion.
Partner reporting
The partner presents results inside its own product, report, portal, or service workflow without exposing the AI Security LLC UI.
Usage reconciliation
Customer-org usage, credits, license status, and revocation sync to the commercial control plane when the deployment model allows it.
Choose the right commercial model
The Commercial pillar separates how organizations buy, embed, operate, and scale AI Security LLC from the technical capabilities themselves.
Licensing models
Use the licensing shape that matches how the customer or partner wants to buy and operate.
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 SecEng 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
Deployment options
Commercial packaging should follow the customer data boundary, partner architecture, and procurement expectations.
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 SecEng 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.
Support tiers
Support can be matched to the commercial obligation, from pilot support to strategic OEM escalation.
Standard
Early partners, pilots, startups, and small commercial programs.
- Email support
- Pilot guidance
- Documentation support
- Best-effort integration review
Premium
OEM partners, MSSPs, and enterprise programs with customer-facing obligations.
- Partner escalation channel
- Release guidance
- Integration reviews
- Commercial success reviews
Enterprise
Strategic OEM, white-label, air-gapped, and enterprise site-license deployments.
- Escalation path
- Security review support
- Roadmap alignment
- Custom support terms
Commercial path
The fastest route is a scoped pilot that proves technical ingestion and commercial packaging before expanding.
Commercial fit call
Identify partner type, target customers, intended packaging, deployment constraints, support model, and success criteria.
Technical pilot
Prove the CLI or localhost API path against a representative target and confirm JSON, SARIF, and evidence ingestion.
Commercial pilot
Define pricing, customer-org model, support boundary, white-label depth, license controls, and pilot reporting.
Production rollout
Convert to partner agreement, issue production licenses, document integration, and begin customer-org activation.
Representative SKUs
Commercial products should be represented as registry-backed SKUs rather than ad hoc pricing copy.
OEM Pilot
A focused 30-day pilot to prove the SecEng headless engine can be invoked by a partner product and produce ingestible AI security findings.
OEM Base License
Base commercial license for a partner to embed or invoke the SecEng engine across approved internal and customer environments.
OEM Customer Org
Per-customer organization pricing for active OEM customers using partner-distributed SecEng AI security capabilities.
Private-Label Add-on
Private-label packaging where the partner owns customer-facing presentation while AI Security LLC remains available for legal, support, and technical attribution.
MSSP Base License
Commercial base license for MSSPs offering AI security assessments, monitoring, evidence reporting, and customer-org services.
Enterprise Site License
Organization-wide licensing for SecEng workbench access, private workers, evidence generation, Academy content, and custom deployment requirements.
Move from interest to a scoped commercial path
Every commercial conversation should resolve into a clear program, deployment model, license scope, support expectation, and evidence requirement.
Define the commercial motion
Decide whether this is OEM, reseller, MSSP, enterprise, private-label, or procurement-led.
Run a bounded pilot
Use one integration path, one target class, one reporting output, and one commercial success metric.
Move to operating terms
Finalize license scope, customer-org model, support tier, usage controls, and deployment model.
Build the right commercial path
Use a focused pilot to align the technical integration, licensing structure, support model, and customer-facing packaging.