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 find the weak spot before others do.
We audit AI before it sees sensitive data. You get findings and a remediation plan.
WHAT WE VERIFY
Where an AI system tends to be most vulnerable.Where an AI system is most vulnerable.
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.Where the system takes answers from, whether it keeps users apart and touches only data it may access.
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.What the system may do without asking: its tools, their permissions and where a human keeps the last word.
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.We define it, then apply pressure.
For every risk we deliver 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 aim tests at the scenarios in scope and back every finding with evidence.
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.Which system should we test?
We will reply with a proposed scope and next step. You speak directly with the institute.