Protective AI
Systems that detect threats, ground answers in evidence, and refuse to overclaim when the signal is weak — with guardrails built in from the start.
The vision
Crafting Protective and Ethical AI Solutions
I build AI systems people can trust — in security operations and in ethical decision-making. My work centers on explainable, safety-constrained systems: real-time analysis, adaptive reasoning, and safe decision-making that bridges research with high-stakes applications.
Cybersecurity and ethical AI matter equally to me. On the ethics side that means auditing LLM judgments, stress-testing moral consistency, and reviewing proposed agent actions without executing them — not only ethics as a security add-on. Ethical Decision Simulator and Ethical Agent Auditor are expressions of that broader curiosity.
This lab stays open by design. Cybersecurity and ethical AI are where I focus most of my work today; future experiments may explore other domains without changing what the lab is for: protective, ethical, and explainable AI.
Always experimenting with new models, datasets, and workflows. Open to conversations on trustworthy AI in security-critical — and ethics-critical — environments.
Systems that detect threats, ground answers in evidence, and refuse to overclaim when the signal is weak — with guardrails built in from the start.
Tools that audit LLM judgments, stress-test moral consistency, and review agent actions before they execute — ethics as a first-class concern, not a bolt-on.
Cybersecurity and ethical AI are where I focus most today. The lab stays flexible for new domains, models, and workflows as curiosity leads.
Building or exploring trustworthy AI for cybersecurity or ethical systems? Browse the lab — I'm always open to a conversation.