AI security
We know how to attack AI systems. So we know how to protect them.
An agent that talks to your customers and acts in your tools is a way in. We test it before it opens to the public.
What we test
The risks specific to agents and LLMs.
Neurakora is led by an OSCP- and CEH-certified engineer who practises bug bounty hunting, specialising in the security of AI systems and LLMs.
- 01Prompt injectionA crafted message or document makes the agent ignore its instructions.
- 02Data leakageThe assistant reveals internal information, customer data or its own instructions.
- 03Tool hijackingThe agent is pushed to send, change or delete what it should not touch.
- 04Over-broad accessAn internal assistant that answers anyone about any document.
- 05No audit trailWithout logging, there is no way to know what the agent did, or why.
AI security audit
Four steps, a report a manager can read.
Scope
Which agents, which tools, which data, and what must never happen.
Penetration testing
We attack your agents and chatbots the way a real attacker would.
Report
Each flaw, its impact, the evidence and the recommended fix, in plain language.
Fix & retest
We check the fixes hold before go-live.
The agents we build go through these tests before go-live. The audit is also for companies that already run a chatbot or agent built by someone else.
Is your agent ready to face the public?
Describe your agent or chatbot: we propose a test scope and a timeline.