A defensive security agent that runs entirely on a Raspberry Pi — a reinforcement-learning policy that watches network and system signals and responds to anomalies in real time. Strictly defensive: detection, containment and alerting only.
The client wanted an autonomous defender for edge deployment: a small device that sits on a network, observes what is happening on and around it, and reacts to suspicious activity on its own — without shipping data to a cloud service.
We built a reinforcement-learning based agent that runs fully on a Raspberry Pi. The policy learns to map observed anomaly signals to appropriate defensive responses. The scope is strictly defensive by design — the agent detects, contains and alerts; it has no offensive or intrusion capability of any kind.
Delivered to the client as a tested, ready-to-run package for Raspberry Pi, with the defensive scope documented so the boundaries of what the agent will and will not do are explicit.