01 · Secure what exists
Cloud security
Find the exposed paths, permission gaps and highest-value fixes without turning the result into a generic score.
Every identity, network path and AI connection expands what your systems can touch. QDOT helps growing teams see that reach, secure what is already running, and build the next stage with clear boundaries from day one.
Before the AI reaches real data, answer these ten questions. Free 8-minute launch checklist. Open it now, or leave your email for future practical guides. Open the checklist →Find the exposed paths, permission gaps and highest-value fixes without turning the result into a generic score.
Design networks, identity, DNS, governance and infrastructure as code as one operating system.
Connect AI to the work with scoped tools, permission-aware data, human approvals and a shutdown path.
Choose the job in front of you, work through ten decisions and keep your answers in your browser. Subscribe if you want the checklist saved with your email and future practical guides. You can also open it without subscribing.
Check its identity, data boundaries, tools, approvals, activity record and shutdown path before launch.
Use the free AI checklist →Settle identity, network, logging, guardrails, deployment and cost decisions while they are still cheap to change.
Use the free cloud checklist →The attacker never touches your AI interface. They leave instructions inside a PDF, a web page, a calendar invite — something your pipeline retrieves on its own, later, and hands to the model as trusted context.
Your retrieval database became a trust boundary the day you turned it on. Most teams are still treating it as a filing cabinet.
This is not a new class of problem. It is least privilege, applied one layer earlier than anyone has applied it yet.
The path a poisoned document takes
Every AI surface, every data source it can reach, every tool it can call. Most engagements find at least one integration nobody remembered approving.
What identity does each agent run as, what can that identity open, and what happens to the blast radius if it is compromised. Retrieval is included, because retrieval is where the gap usually is.
Indirect prompt injection against your own corpus, in a controlled scope you approve in writing beforehand. We show you what came back, not a severity score.
A document with the reasoning shown: what is exposed, what it would cost to close, and what we would leave alone and why. Written to survive being forwarded.
You do not need a finished scope. Choose the closest path and describe what prompted the search. You will get a written reply within one business day.
Book an optional 20-minute fit call. Available Monday through Friday, 3:00 to 5:00 PM Eastern. Google will only show open times, not the contents of the calendar.
The foundation everything else sits on. Most teams never built this on purpose, which is why the AI project turns into an argument later.
You end up with one place traffic is inspected, one place names resolve, one place permissions are decided.
What that looks like
The workflow itself, connected to your real data and your real tools. Scoped to one job that a person is currently doing by hand.
You end up with a task that used to take hours happening without anyone doing it.
The assessment above, or the same work applied to a build you already have. This is the package for anyone whose AI is already live.
You end up with a document you can hand to whoever asks whether this is safe.
Monthly, for teams who have the first three and need someone to keep it honest as it changes.
You end up with decisions that get made once, and stay made.
Every package is fixed scope and fixed fee, written down before anything starts. Tell us which one you are looking at and you get the number within two business days.
You work with the architect who does the work. Quentin Lester, QDOT's principal architect, scopes your project and stays on it through design, build and handover. No sales team in between.
Eight years designing and securing enterprise multi-cloud infrastructure across Azure, GCP and AWS — network architecture, Zero Trust, identity federation, and the governance that keeps it from drifting.
And separately, an e-commerce business built from nothing to over $1M since 2024, with a real P&L, run day to day on AI agents. The boundaries we recommend are ones we live with.
That second part is the reason the verdict is written the way it is. When you own the outcome, a control nobody can follow is not a finding, it is a cost. Most engineers have never had to feel the price of their own architecture. Most owners have never been able to read one.
We take on two engagements at a time, so yours gets full attention.