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.

Explore our research
An AI agent protected by a shield as an adversarial signal is intercepted and trusted actions continue through an agent network
AI agent securityPrompt injectionQuantum NLPCybersecurityLanguage understanding

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 shield emblem with stylized eyes and the phrase Protection for the AI agent age

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

Three connected directions

We secure AI agents—and build systems
that are capable, legible, and resilient.

Abstract visualization of a protected AI agent trajectory under a prompt-injection attack
Agent trajectory intelligenceAttack enters. Detection localizes. The agent recovers.
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.

  • Agent language
  • QNLP
  • Pregroup grammar
  • Multilingual systems

A collaborative agent research group

Curious minds.
Safer 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.

Dr. Mithun Paul Saint-Germain — visit personal website

Principal investigator

Mithun Paul Saint-Germain

Assistant Professor · NAU
Asif Pinjari

Researcher

Asif Pinjari

AI systems · security

Interested in secure AI agents?

Send a short introduction, your agent research interests, and a CV or résumé.

Start an agent security conversation

Let’s secure the
next generation of agents.

Mithun.Paul@nau.edu ↗

School of Informatics, Computing, and Cyber Systems
Northern Arizona University · Flagstaff, Arizona