Research

Investigates how AI infrastructure can be built securely and maintainably. Can open-weight models be operated responsibly using standard engineering practices?

Investigates the attack surface of AI systems. How can LLMs be threatened, how can those threats be identified, and what controls meaningfully reduce risk?

Investigates how AI systems can be grounded in accurate, controlled knowledge. What are the security implications of retrieval-augmented generation pipelines?

Investigates how AI capability can be embedded into everyday domestic environments through controlled APIs and responsible, observable integration patterns.

Will investigate how natural speech interfaces can be built that are practical, reliable and secure at the household level without requiring cloud dependency.

Will investigate where autonomous AI agents genuinely add value and what security controls are required to operate them safely in a real-world environment.