What should an enterprise AI security checklist for advertising cover?

Key facts

Tenant isolation	Separate API keys or endpoints per client account for segregation and attribution
Access control	Scoped keys with rotation; enterprise SSO and RBAC options
Data grounding	Embeddings and RAG are live for briefs, brand guides and research
Deployment	Cloud, VPC, on-prem or air-gapped for client-restricted work
Auditability	Request and response logging plus usage analytics per key
Structured output	JSON mode returns copy variants, briefs and audit notes in fixed schemas
Pricing model	Flat monthly self-serve plans; no per-token billing on self-serve
Endpoint roadmap	Images, moderation, audio and batch are coming soon

TL;DR

• Separate client accounts with distinct keys before any shared workflow goes live.
• Keep audience and campaign data inside the deployment your client contracts allow.
• Require human approval for claims, offers and anything customer-facing.
• Log prompts, sources and model versions per account for client reviews.
• Treat brand guidelines as retrieval content, not as prompt text scattered in templates.

How it works, step by step

1. Map every AI workflow to the client accounts and data classes it can access.
2. Issue separate keys per client and environment; store them centrally and rotate on schedule.
3. Define residency rules per client contract and choose cloud, VPC, on-prem or air-gapped accordingly.
4. Index brand guides, tone rules and approved claims, and require citations for generated copy.
5. Add a review queue where a human approves claims, pricing references and public-facing text.
6. Log request IDs, retrieved sources, model versions and approvals per account.
7. Audit access quarterly and remove keys when accounts or contractors change.

Try it yourself

Open the AI data residency checklist →

Client data segregation across accounts

Agencies and media teams work for competing brands under one roof. That makes segregation a security requirement, not a convenience. Issue distinct API keys per client and environment, keep retrieval indexes namespaced per account, and never let one account's context appear in another's session.

Where a client requires stronger isolation, move that account to a dedicated endpoint or private deployment. The OpenAI-compatible interface means the workflow itself does not change.

Keys, access and contractor workflows

Advertising work runs on freelancers, partners and platform teams touching the same systems. Scope keys per application, not per person, and keep them in a secrets manager that contractors cannot read directly. Enterprise SSO and RBAC options govern console access so permissions follow joiners, movers and leavers.

Review key inventories whenever an account changes hands; access after a transition is a common audit finding.

Brand safety and claim review

Generative copy can invent statistics, offers or endorsements. Ground generation in approved brand guides and claim libraries with retrieval, then route every public-facing asset through a human reviewer. Structured output in JSON mode lets your review queue enforce fields such as claim source, disclaimer and approval status before anything ships.

Keep the source reference with the asset so a claim can be traced back to an approved document.

Residency, logging and model governance

Audience data residency may be contractual. Confirm where each workflow processes data, choose region selection or private deployment accordingly, and document the path in the client's security review. Log request IDs, retrieved sources, model versions and approvals under a retention policy, and keep an approved model list tied to evaluation results so creative quality and safety are reviewed together.

Honest comparison

Control area	Plugsky capability	Common gap	Owner
Client isolation	Keys or endpoints per account, private deployment options	One shared key for all accounts	Agency IT
Access control	Scoped keys, usage analytics, enterprise SSO and RBAC options	Contractor keys never rotated	Security
Brand safety	RAG over approved claim libraries with citations	Unreviewed generated claims	Creative director
Residency	Region selection plus VPC, on-prem and air-gapped	Data path unknown to client	Legal and privacy
Audit trail	Per-key logging of prompts, sources and responses	No account-level traceability	Compliance
Model governance	Approved model list behind one API	Ad-hoc model switching	Technical lead

Frequently asked questions

How do we keep competing clients separate?

Use a distinct API key per client and environment, namespace retrieval indexes per account, and use private deployments for clients requiring physical isolation.

Can we guarantee a client's data never trains a model?

For strict requirements, use a private or air-gapped deployment so data stays inside the contracted environment. Review the current data-handling terms for cloud plans with your legal team.

What should the human review step check?

Claim accuracy against approved sources, required disclaimers, pricing references and brand tone. JSON mode output can encode these fields so the queue enforces them consistently.

How do we handle audience data?

Minimize and aggregate before it reaches the model, and choose a deployment that satisfies each client's contractual residency terms.

Is image generation available for creative work?

Image endpoints are coming soon. Today, generate and review text assets through the live chat API and keep visuals in your existing production pipeline.

What is live today?

Chat, streaming, JSON mode, function calling, embeddings, RAG and agents are live. Images, audio, moderation, files, batch, assistants, responses and fine-tuning are coming soon.

How do we start without disrupting delivery?

Pilot on internal briefs and brand guides with the free plan, measure review pass rates, then extend to client accounts with scoped keys and logging in place.