Prompt injection and jailbreaks
A forged instruction hidden in an input or a loaded document can persuade the system to break its own rules.
INDEPENDENT AI AUDIT
We find the weak spot before someone else does.
We independently verify your AI or LLM system before it gets sensitive data or the power to decide on its own. You get documented findings, their severity and a remediation plan, not an impression from a presentation.
WHAT WE VERIFY
Where an AI system tends to be most vulnerable.
No generic checklist. We test scenarios that make sense for your system, your data and your permissions.
RAG and context handling
Where the system takes answers from, whether it keeps users separated from each other and whether it borrows data it should have no access to.
Agentic loops and access rights
What the system may do without asking: the scope of its tools, their permissions and the point where the last word must stay with a human.
Identity and sensitive data
Paths by which sensitive data could leak out, or by which someone could borrow the identity of your user or company.
FROM SCOPING TO REMEDIATION
First we define the system. Then we put it under pressure.
The goal is not a list of concerns, but concrete risks with evidence, a fix and fresh verification that the fix holds.
Context and boundaries
Together we define which systems, scenarios and access rights make sense to test in your deployment.
Testing and evidence
We test in a targeted way, not broadly, and we back every finding with evidence, not an impression.
Findings and remediation
We hand over findings ordered by severity, with a recommendation on what to fix, and we verify the fix worked.
INQUIRY
Describe the system you want tested.
We will reply with a proposed scope and next step. You speak directly with the institute, not a sales department.