Saabsa · Austin HQ, US delivery
AI security and governance your security team can approve
Governance is not a policy PDF that never meets the system. Saabsa writes the data boundary, the access path, the human approval points, and the log review into the design—then builds those controls if the sprint says go.
Security blocks AI projects that cannot describe their data flow
An AI security assessment that only lists model risks will not unblock a deployment. Reviewers want to know what data is retrieved, what is sent to a model API, what is stored, who can see the transcript, and which actions can change a system of record. AI governance consulting that skips that diagram does not survive the meeting.
We produce that packet inside the production sprint. It is specific to the workflow. A generic responsible-AI essay is not the deliverable.
Data boundary
Classification, retention, and what is prohibited from leaving the tenant or reaching the model.
Access control
User identity applied to retrieval and tools. No shared key that sees every document.
Write approval
Irreversible actions wait for a person until evaluation supports a narrower rule.
Evidence
Logs security can sample, a vendor and model note, and an owner for exceptions.
Controls attached to implementation
The security note is an input to enterprise deployment, not a parallel workstream that finishes after launch. Healthcare work adds BAA and minimum-necessary constraints; those live on the healthcare AI page. Evaluation proves the assistant respects refusals and permissions; that is evaluation, and it is part of the same go/no-go.
We will not sell a governance retainer as the first purchase. If the workflow is not real enough to draw a data flow, the sprint ends in a no-go.
Questions buyers ask
Before you book the sprint
Is this a penetration test?
No. It is the design and the controls for the AI system: boundary, access, logging, and approval. A broader application test is a different engagement and is not implied here.
Do you write the company AI policy?
We write the control notes for the system we are implementing. Enterprise-wide policy programs are out of scope unless they are required to ship that system.
Can security reject the build?
Yes. The sprint is designed so that rejection is a documented outcome, not a surprise in month four.
What do we receive?
A security note your reviewers can mark up, tied to architecture and the evaluation plan, plus the go/no-go memo.
Related
The rest of the implementation map
AI implementation
Part of the same prototype-to-production path.
Prototype to production
Part of the same prototype-to-production path.
Enterprise deployment
Part of the same prototype-to-production path.
Production readiness
Part of the same prototype-to-production path.
AI agents
Part of the same prototype-to-production path.
RAG development
Part of the same prototype-to-production path.
Enterprise generative AI
Part of the same prototype-to-production path.
Evaluation
Part of the same prototype-to-production path.
Healthcare AI
Part of the same prototype-to-production path.
AI Production Sprint
Part of the same prototype-to-production path.
Bring the prototype, not a wishlist.
The AI Production Sprint is two weeks and fixed fee. You leave with a go/no-go, architecture and security notes, and a next-step quote you can decline.