Prompt injection
Can a customer message, document, or web page trick your agent into doing something it should not?
Agent security
Security testing for AI agents that access data and take actions.
We uncover how deployed agents can be manipulated into leaking sensitive information, misusing tools, or taking unauthorized actions and then help you fix the weaknesses before attackers or customers find them.
Independent, adversarial testing for agents in development or production.
What we test
Tool misuse
Can it send the wrong email, expose records, or make a costly purchase through a connected system?
Permission boundaries
Does it have only the access it needs for its job, even when a task goes wrong?
Memory and RAG
Could a bad document influence future answers, or private information appear in the wrong response?
Tenant isolation
Can one customer’s conversations or data show up in another customer’s experience?
Sandbox breaches
If it runs code, can it get past the safeguards that keep it away from your systems?
Vulnerability chaining
Small weaknesses can become a material breach.
We test how a low-impact foothold can move through your agent, its tools, and its connected systems until it reaches sensitive data or an unauthorized action.
- 01
Gain influence
A document, message, or retrieved page changes how the agent interprets a task.
- 02
Expand reach
That influence reaches a trusted tool, memory store, or system with broader access.
- 03
Create impact
We verify the final outcome and identify the controls that break the chain.
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