About
Syndai is an independent research entity operating at the intersection of identity infrastructure and AI governance. We focus on the problems that emerge when AI systems need to authenticate, authorize, and be held accountable — problems that are real, consequential, and underexplored.
We publishes research, frameworks, technical analysis and white papers that help organizations reason clearly about CIAM, authentication, authorization, and the governance challenges that come with deploying AI at scale.
Our vision
The AI industry is repeating trust mistakes the security community spent decades solving: accepting vendor claims without verification, treating transparency as a nice-to-have, and retrofitting privacy protections after deployment instead of architecting them in from the start.
Syndai is committed to a different approach: verification over assumption, transparency by default, and privacy at the architecture level. We publish open research and frameworks to advance these principles — not as abstract ideals, but as engineering practices that can be adopted today.
Identity & Access Management
CIAM, authentication, authorization, and the emerging challenge of Agentic IAM — establishing verifiable identity for autonomous AI agents operating in machine-to-machine environments.
AI Transparency
Independent verification of AI system behavior, moving beyond model cards and benchmarks toward continuous auditing of production systems.
Privacy Engineering
Architectural-level privacy protections built into AI systems from day one — not bolted on after a breach or regulatory deadline.
Zero Trust Architecture
Applying zero trust principles — never trust, always verify — to AI systems and the identity infrastructure that governs them.
Syndai is led by researchers and engineers with deep experience in security infrastructure, identity systems, and AI governance.