Public Benefit Corporation
AIDEFEND Labs
Open frameworks, real-world analysis, and practical guidance for teams building and defending AI systems.
Mission, company, and founder
AIDEFEND Labs exists to democratize AI security defenses
A journey of a thousand miles begins with a single step.Lao Tzu
AIDEFEND Labs is built as a PBC (Public Benefit Corporation) on the belief that practical AI security should not be limited to the largest companies. The company turns defensive knowledge into open frameworks, real-world analysis, and usable guidance for a wider set of teams so they can reduce technical risk in real AI systems.
PUBLIC BENEFIT CORPORATION, DEMOCRATIZING AI SECURITY DEFENSES
Overview
The mission behind AIDEFEND Labs
Mission
At its core, AIDEFEND Labs is trying to do something simple: make AI security defenses less exclusive.
AI threats are moving quickly, but practical defensive knowledge is still hard to access for many teams. Sometimes it is too fragmented, sometimes it stays inside closed consulting work, and sometimes it is written in a way that makes it difficult to turn into something actionable.
There are already many AI governance, control, and risk frameworks in the market, but a lot of them still stay too abstract to help teams with real implementation. AIDEFEND is meant to be a framework that teams can actually use in practice to reduce technical risk, not just agree with in principle.
AIDEFEND Labs exists to take that scattered knowledge and turn it into something more open, more structured, and easier to apply in the real world. That is why the company keeps investing in open frameworks, cross-mappings, real-world case analysis, and implementation-oriented tooling such as the AIDEFEND MCP server.
Why PBC (Public Benefit Corporation). Democratizing AI security defenses is part of the company’s core purpose, not a side project. The hope is that this can be one small but meaningful step toward making AI security techniques and concepts more widely understood and adopted.
Founder & CEO
Edward Lee (李偉光)
Before founding AIDEFEND Labs, Edward worked in the San Francisco Bay Area at JPMorgan, Zoom, Google, and Akamai, building more than a decade of experience across cybersecurity, cloud, security product work, and technical risk advisory.
Alongside his enterprise work, he has also stayed active in both security and open-source communities, contributing to efforts including AIDEFEND, the AIDEFEND MCP Service, and the OWASP Agentic AI Top 10, while also presenting AIDEFEND at RSA Conference 2026 and speaking at Infosec Taiwan over multiple years.
Edward earned his undergraduate degree in Computer Science from National Chiao Tung University, followed by a master's degree in Information Security from Carnegie Mellon University and an MBA from the University of Cambridge. He is also currently pursuing a master's degree in AI and Digital Technology at ETH Zurich.