AI security · architecture and prototypes
Secure AI applications
You are integrating an assistant, RAG system or agents with your tools. I help map data flows, limit access and build security tests for your use case.
Who I work with
- CISOs and risk leads
- Product and development teams
- Data / AI leads
Reasons to start a conversation
- An assistant can access internal data or tools.
- Permissions, costs or log retention are unclear.
- You need to define the scope of an initial release.
A structured contribution.
Scope this need ↗Map the use case
Identify users, data, providers and possible actions. Describe the consequences of disclosure, incorrect output or unauthorized action.
Design controls
Define minimum permissions, approval for sensitive actions, spending limits and logging rules. Separate reference data from trusted instructions.
Test and hand over
Build tests for injection, access across users and tool calls. Report gaps, verified controls and remaining risks.
What you receive
Deliverables.
- Data and permission map
- Abuse scenarios and repeatable tests
- Control prototype within an agreed scope
- Risk register and implementation plan
Engagement boundaries
An explicit scope.
The following situations require different scoping or complementary support.
- Regulatory or legal certification of your AI.
- A guarantee to block every injection or hallucination.
- Custom model training without dedicated scoping.
What supports this service
Gate and the agent projects are public demonstrators. They let you inspect my technical work. No client AI engagement is claimed here.
Inspect the public project ↗Prepare our first conversation
The scope, primary constraint and desired outcome are enough to open the discussion. Access and sensitive documents will be handled within an appropriate framework. The contact form already includes the relevant topic.
Discuss this topic ↗