Clarify the problem, scope and affected people.
SECURE AI ASSISTANTS
Secure AI Assistants and RAG Systems
Design secure AI assistants with approved data, least privilege, retrieval boundaries, prompt-injection controls, human review, logging and fallback.
Direct answer
SundAI helps design AI assistants and RAG systems with approved data sources, least-privilege access, retrieval boundaries, prompt-injection defences, human review, logging, evaluation and fallback.
Who this is for
Teams building internal knowledge assistants, copilots, customer support assistants or RAG-based workflows with sensitive information.
What you receive
- Use-case and data-boundary design
- Identity and permission model
- Prompt-injection and misuse controls
- Evaluation, logging and fallback
How the work runs
Collect relevant technical and operational evidence.
Assess value, risk, controls and decision points.
Prioritise action and establish ownership.
Frequently asked questions
Can an assistant access all company data?
It usually should not. Access should be limited by role, purpose and approved sources.
Can the engagement be adapted?
Yes. Scope, language, depth and delivery format are adjusted to the organisation, roles and risk context.
Does SundAI claim certification?
No. Work is standards-informed, but SundAI does not claim organisational ISO certification unless a valid certificate explicitly covers the organisation and scope.
Primary standards and sources
These primary sources inform the work. They do not imply certification or endorsement.
Use cases
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Discuss your needs
Start with a focused conversation about your AI goals, risk and practical next step.