Which teams benefit from a recurring engagement?
The strongest fit is an AI-native or AI-enabled B2B SaaS team with production agents or retrieval touching customer data, regular product changes, and enterprise buyers who expect current evidence. The requirement becomes more concrete when an agent can modify business records, use privileged tools, or span several customer systems.
A small, stable read-only feature may need a scoped assessment and a change-triggered follow-up instead. Choose a recurring engagement when there is identifiable review work, ownership, and engineering capacity to act on findings.
Set a baseline and a review cadence
| Activity | Purpose |
|---|---|
| Baseline and annual comprehensive reassessment | Map the current product and reassess the agreed SaaS/AI boundaries in depth. |
| Quarterly red-team testing | Validate prioritized abuse scenarios and revisit material controls. |
| Agreed change reviews | Assess relevant releases, model/provider changes, tools, MCP integrations, architecture, and new agents. |
| Identity and permission reviews | Check new authority, delegated identities, approvals, and tenant access. |
| Enterprise questionnaire support | Translate current scope and evidence into accurate buyer responses. |
Specify how these activities fit together. The contract should state whether the annual reassessment includes a quarterly testing cycle or is additional work. Agree who supplies change information and how review decisions are recorded.
Define changes that deserve review
- A new model or fallback provider changes data routing or output behavior.
- An agent gains write access, new credentials, or a broader action scope.
- A new MCP server, connector, or tool introduces another trust boundary.
- Retrieval expands to a new corpus, shared index, tenant model, or permission scheme.
- Memory persists across sessions or becomes shared among agents.
- An architecture change adds autonomous chaining, external content, or new approval behavior.
- An enterprise plan or regulated customer introduces a new security requirement.
Not every change needs a full assessment. Triage its effect on data, authority, exposure, and existing evidence, then choose documentation review, targeted testing, or a larger reassessment. Record the reason for that decision.
Make the annual agreement operationally clear
Agree the inventory of covered systems, testing days or review capacity, submission process, response windows, and priority rules. Define how emergency requests, unused capacity, new applications, extra tools, and significant scope growth are handled. “Continuous” should describe a planned relationship, not imply unlimited testing or around-the-clock monitoring.
Set an engineering owner for remediation and a commercial or trust owner for questionnaire responses. Include escalation contacts, authorized access, third-party approvals, evidence retention, and retest expectations. Align review windows with actual release planning.
Maintain a useful evidence record
Keep a versioned system inventory, change-review register, regression cases, finding status, remediation decisions, and retest outcomes. Record the model/provider, retrieval and tool configuration, identities, test dates, evidence, and remaining limits. A buyer summary should distinguish the tested baseline from later changes.
Track practical outcomes: material changes reviewed before release, time to resolve prioritized findings, recurring boundary failures, and the effort to answer enterprise requests. These help evaluate the engagement without claiming that a test count measures overall safety.
Start with a scope you can sustain
DevBrows Continuous AI Assurance is a custom annual engagement . Pricing follows product scope, change volume, review capacity, and delivery commitments. No universal annual fee fits every production AI system.
Complete or validate a baseline before committing to an annual plan. Review the results and the next-quarter roadmap, confirm engineering ownership, and identify repeat work. If a fresh baseline is needed, define an AI Application & Agent Security Assessment and decide how it relates to the annual plan. Bring your architecture, recent changes, next-quarter roadmap, and buyer requirements to a scoping conversation.