AI agent security
Real-time detection of AI agent misuse, from behavior alone.
Identity and permissions tell you who an AI agent is. Crowzein is building detection of when users steer agents toward fraud and abuse, while the session is still running.
The industry secured “who.” The open question is “what.”
An agent with valid credentials, verified provenance, and an audit trail, taking only permitted steps, can still be steered by its user into fraud. The harm lives in the sequence.
- 01Identity and permissionsWho is this, and what may it do?
- 02Prompt-level defensesIs this one interaction safe?
- 03Sequence rules and in-agent monitoringDoes this sequence break a rule we wrote, or look wrong from inside the agent?
- 04BehaviorWhat is the agent doing across the session, and who does it harm?
Our approach
Behavior is the signal
Models and harnesses change monthly. What an agent does stays observable.
Scored while it runs
Small, specialized models read action sequences and score risk before the harmful step completes.
Learned, not only written
Rules catch the sequences someone anticipated. Learned detection catches the ones nobody did.
No access to the inside
No model internals or harness instrumentation needed, for companies that ship agents they don’t control.
Ship agents to your users?
We’re working with a small number of design partners.
Get in touch