About AEGIS Research
We study and operationalize the safety, security, compliance, and deployment risks required for trustworthy real-world adoption of LLMs and next-generation AI systems.
Our Mission
We help ensure that AI deployed in the real world is verifiable, controllable, and accountable.
AEGIS Research is a research institute dedicated to studying and operationalizing the critical safeguards that must be in place before AI can be trusted in real environments. We do not focus on model capability alone. We focus on the real problems that emerge when enterprises and individuals deploy LLMs into workflows, services, decision support, automation, agents, multimodal systems, VLA pipelines, robotics, and future AI environments.
CEO
Seongchan Lee
Korea Univ. · Chief Executive Officer
Research Leadership
Kwang Il Kim
M.S. (USYD) · Research Director
Leading and overseeing all AIEGIS research initiatives across AI safety, guardrails, hallucination mitigation, and enterprise deployment trust.
Seokju Kang
SeoulTech · CISO
Leading information security strategy and overseeing cybersecurity operations across AIEGIS research infrastructure and enterprise AI deployments.
Advisor
Dr. Taejeong Park
Ph.D. (SNU) · Education Advisor
Advising on education-sector AI safety, academic research collaboration, and trustworthy AI adoption in educational environments.
Core Belief
“Powerful AI must also be trustworthy AI, and AI that enters the real world must be verifiable, controllable, and accountable.”
— AEGIS Research Founding Principle
Research Philosophy
Our research is guided by eight core operational principles.
We prioritize real-world deployment safety over abstract model capability.
Hallucination research is one core axis; our scope extends to guardrails, compliance, privacy, agent safety, multimodal and VLA safety, and future AI risks.
Every research output must connect to deployable technology, evaluation frameworks, operational standards, or product architectures.
PDFs serve as evidence assets; web pages serve as explanation and distribution channels.
All publications follow the same brand, template, and disclosure rules.
We prioritize trust over exaggeration.
Each study connects to product, market, and regulatory context while maintaining research objectivity.
Every paper generates at least five derivative content assets.
Scope of Research
AEGIS Research covers the full spectrum of AI deployment safety and trust.
Hallucination & Grounding
Reducing unsupported responses and improving evidence alignment for trustworthy AI outputs.
AI Guardrails
Designing layered control systems that help prevent unsafe, non-compliant, or high-risk model behavior.
Safety & Security Engineering
Addressing prompt attacks, misuse scenarios, privacy risk, and operational vulnerabilities in deployed AI systems.
Privacy & Compliance
Building methods for privacy-aware AI use, policy enforcement, and alignment with regulatory requirements.
Agent Safety & Control
Studying decision safety, action boundaries, escalation logic, and controllability in agentic AI systems.
Multimodal, VLA & Robotics Safety
Extending AI safety research into vision-language-action systems, embodied AI, and robotic environments.
Quantum-AI Safety Foresight
Exploring future safety and governance implications of AI systems connected to emerging compute paradigms.
Why AEGIS Research Exists
AI adoption is accelerating across enterprises, public institutions, education, customer service, operations, software development, and autonomous systems. But real deployment requires far more than model performance.
Organizations must address whether AI outputs are grounded, whether responses comply with policy, whether private data is protected, whether agent behavior remains controllable, and whether systems can operate within legal, regulatory, and operational boundaries.
AEGIS Research exists to address these questions through rigorous, practical, and deployment-oriented research. We turn the hardest safety challenges in real-world AI deployment into practical and scalable technologies for trustworthy use across industries.
Collaborate with Us
We work with enterprises, institutions, and researchers who need safer, more trustworthy AI deployment.