We test your AI systems the way an attacker would, before an attacker does.
Aporixa runs authorized adversarial assessments of language models, agents, and the products built on them. Everything we learn feeds back into our research.
What we test.
- Prompt injection
- Direct and indirect injection through user input, documents, web content, and tool output.
- Guardrail bypass
- Defenses that block an action but still allow the outcome through another route.
- Agent and tool misuse
- Agents that exceed their permissions, chain tools in unintended ways, or misreport what they did.
- Data exposure
- System prompts, secrets, retrieval stores, and user data that leak through model behavior.
- 01
Scope
We agree on the systems, boundaries, and rules of engagement in writing before any testing begins.
- 02
Test
We run structured adversarial campaigns and log every attempt, whether it succeeds or not.
- 03
Report
You receive findings ranked by impact, with reproduction steps and recommended mitigations.
- 04
Retest
After you fix the issues, we test again to confirm the fixes hold.
We test only systems we are authorized to test. Every engagement has a written scope, and we stay inside it.
If we find a weakness in a third-party model or platform during an engagement, we report it to that vendor under our disclosure policy. We coordinate the timing with you.
Client findings are confidential. We publish general lessons from engagements only with permission and only once identifying details have been removed.
Commission an assessment.
Tell us what you are deploying and what worries you about it. We will reply with a proposed scope.