Northern Arizona University · Agent Security Research
KALI LAB
Knowledge · Adversaries · Language · Intelligence
Securing AI agents. Advancing trustworthy intelligence.
AI agent security is at the center of our work. We study how tool-using agents resist prompt injection and behavioral hijacking, how intelligent systems understand language, and how advanced AI can become more accessible.
AI agent securityPrompt injectionQuantum NLPCybersecurityLanguage understanding
01 / About
AI agent security at the boundary of meaning and trust.
KALI—Knowledge, Adversaries, Language & Intelligence—is led by Dr. Mithun Paul Saint-Germain. Our central mission is to secure AI agents: identify attacks in their trajectories, understand when behavior drifts, and protect the actions they take. This work connects to language technology and emerging computational paradigms. We care about agents that work beyond the benchmark—under adversarial pressure, untrusted tool outputs, and real-world access constraints.
KALI Lab Research
Protection for the AI agent age.
The shield is our research promise: observe what an agent sees, understand what it trusts, and protect the actions it takes.
ObserveUnderstandProtect
02 / Research
Three connected directions
We secure AI agents—and build systems that are capable, legible, and resilient.
Agent trajectory intelligenceAttack enters. Detection localizes. The agent recovers.
AdversaryDetectionTrusted action
R / 01
AI agent security
Securing tool-using agents against indirect prompt injection: identifying where an attack enters, which actions it corrupts, whether the agent resisted, and how its behavior drifted.
Trajectory security
Attack localization
Behavioral drift
Prompt injection
R / 02
Language & reasoning
Language understanding and reasoning for agents: fact verification, causal models, and data-efficient transfer across domains.
Agent reasoning
Fact verification
Knowledge distillation
R / 03
Quantum language
Scalable quantum natural language processing, compositional models, and multilingual grammar-aware foundations for future intelligent agents.
Our work brings together AI-agent security, natural language processing, cybersecurity, and emerging computational methods. We are especially interested in students and collaborators who want to make autonomous, tool-using agents safer under adversarial pressure.