How do you secure an AI system?+
We map the trust boundaries and attack across them, then fix at the architecture level. Prompt injection, tool-call hijacking, and data exfiltration are structural problems, not wording problems.
Can prompt injection be fixed with a better system prompt?+
No. A model reads untrusted text with the same trust it gives your rules. The durable controls sit outside the prompt: scoped tools, hard boundaries, output validation, and full logging.
Do you test models, or the application around them?+
The application around them. We red-team the whole system: retrieval, tools, and the data paths an attacker would actually use.
How does this map to the EU AI Act?+
We align the testing and evidence to the obligations that apply to your system, so security work and regulatory readiness move together.