Launch managed AI security services without building the full engine.
MSSPs can package selected Workbench capabilities into recurring AI product reviews, agent authority reviews, evidence retainers, and workforce-readiness services while keeping customer ownership, service design, reports, account management, and first-line delivery.
Related partner paths
Use MSSP when the partner owns recurring customer delivery. Use consulting for project-based practice enablement, reseller for pure channel motion, or private label for branded advisory delivery.
Managed-service offers a provider can sell
Each offer maps buyer, cadence, required inputs, Workbench modules, partner outputs, escalation boundary, and expansion path.
Managed AI Product Security Review
Buyer: product security, AppSec, AI platform, or engineering leadership. Cadence: one-time or quarterly. Inputs: architecture, repo or artifact access, prompts, RAG flows, agents, MCP/tools, and consequential workflows. Outputs: customer-facing report, evidence pack, remediation backlog, and expansion into retainer.
- Workbench modules: product review, RAG, agent, MCP, evidence
- Escalation: novel engine or methodology issues
- Expansion: recurring evidence refresh
Managed Agent Authority Review
Buyer: teams deploying agents with delegated action. Cadence: recurring or material-change based. Inputs: agent inventory, identities, permissions, tools, approval boundaries, logs, and change records. Outputs: Authority Graph view, exposure findings, approval remediation, and material-change review cycle.
- Workbench modules: authority graph, tool boundary, trace review
- Escalation: adapter or high-complexity authority modeling
- Expansion: recurring runtime and control review
AI Security Evidence Retainer
Buyer: vendors facing buyer questionnaires or governance reviews. Cadence: monthly or quarterly. Inputs: prior findings, remediation updates, product changes, buyer questions, and evidence requests. Outputs: refreshed evidence, validation notes, executive reporting, and procurement support.
- Workbench modules: evidence, claim-readiness, remediation validation
- Escalation: disputed findings or evidence integrity issues
- Expansion: product-security review
Managed Workforce Readiness
Buyer: CISOs, security leaders, enablement teams, and enterprise L&D. Cadence: cohort, quarterly, or annual. Inputs: target roles, skill baseline, training population, desired outcomes, and reporting needs. Outputs: readiness scores, learning plan, practitioner evidence, and expansion into workforce platform licensing.
- Workbench modules: role taxonomy, assessments, labs, readiness scoring
- Escalation: custom taxonomy or platform integration
- Expansion: workforce white label
Keep the client relationship. Add the AI product-security delivery layer.
The MSSP owns the customer, service design, account, reporting, and first-line delivery. AI Security LLC supplies the licensed capability, evidence structures, playbooks, updates, and specialist escalation layer.
What the MSSP owns versus what AI Security LLC provides
The customer should experience the MSSP as the service provider while AI Security LLC remains the licensed capability, evidence, playbook, and escalation layer.
Customer-facing operation
The MSSP owns the customer relationship, scoping, delivery, account management, first-line support, and customer-facing report.
Licensed delivery backbone
AI Security LLC provides licensed capabilities, evidence structures, playbooks, delivery enablement, product updates, and technical escalation.
Escalation stays explicit
The partner handles normal customer delivery. AI Security LLC is escalated for product defects, adapter issues, evidence-integrity questions, and approved specialist review.
Turn one delivery into a service customers can renew.
A managed AI security offer needs a repeatable operating cycle, not a one-time report. The service should carry the customer from onboarding and baseline through assessment, ownership, remediation, retest, reporting, and renewal.
From customer onboarding to recurring assurance.
A managed service becomes scalable when scope, evidence, decisions, remediation, retest, and renewal are handled as a repeatable lifecycle.
A managed service becomes scalable when scope, evidence, decisions, remediation, retest, and renewal are handled as a repeatable lifecycle.
- 1Customer onboarding
- 2Scope and baseline
- 3Assessment and validation
- 4Prioritize and assign
- 5Retest and verify
- 6Report and evidence
- 7Renew or expand
- Close with evidence
- Remediate and retest
- Escalate
- Defer with rationale
Each cycle should preserve customer state, evidence history, unresolved risk, remediation progress, and the trigger for renewal or expansion without transferring the client relationship away from the MSSP.
Your service. Your account. Specialist capability underneath.
Three ways an MSSP can draw on Workbench capability.
Capability license
The MSSP invokes selected Workbench capabilities inside its own workflow.
Specialist escalation
The MSSP retains delivery ownership while AI Security LLC supports agreed high-complexity analysis or QA.
Private-label delivery
Approved outputs or engagement elements are presented through the MSSP brand under defined attribution, quality, and licensing terms.
Your customer relationship remains yours. MSSP status grants no extra rights by default.
AI Security LLC does not contact, market to, or contract around the partner's end customers unless explicitly authorized. MSSP status does not automatically grant white-label, redistribution, source, exclusivity, or unrestricted customer-use rights.
One customer. One bounded service pilot.
Validate one customer profile, one service motion, one delivery cadence, one report path, and one measurable expansion or renewal signal before scaling the offering.
The pilot should prove that the workflow fits the MSSP operating model, produces customer-ready evidence, preserves support boundaries, and can become a repeatable recurring service.
Build a managed AI security offer customers can renew
Start with a bounded service catalog and pilot before expanding into customer-org reporting, evidence retainers, or workforce readiness.