Login Format
A Secure AI audit is needed when the company already has an AI pilot, RAG, chatbot or the use of external AI services, but there is no confidence in security, data and risk management.
What's included
Data
What is transmitted to the AI, where requests and responses are stored.
access rights
Roles, administrators, users, sources and rights.
Architecture
Models, RAGs, Integrations, Logs, Loops and Operations.
Risks
PD, trade secret, hallucinations, prompt injection, vendor lock-in.
Artifacts at the output
| Artifact | Why is it needed? |
|---|---|
| Risk register | Priorities and risks of the AI environment. |
| Security checklist | Control requirements for data, access and logs. |
| Architecture notes | Notes on the current architecture. |
| Remediation roadmap | Correction and development plan. |
Team composition
Frequently asked questions
Is this a model code audit?
No. The main focus is enterprise architecture, data, integrations, access and operation of AI.
Suitable for external AI services?
Yes, if you need to understand what data and processes fall into the external loop.
Can it be combined with a pilot?
Yes, secure audit can go before the pilot or in parallel with him.
Application form
Fill out a short application or send an email to info@restart.re. For the first conversation, it is enough to describe the outline, the role of the organization, current systems, limitations and the desired outcome.
Let's discuss your environment
Describe the task, current systems, constraints, and expected results. We will offer a practical first step: diagnostics, pilot, audit, roadmap or project team.
