A. Core professionalism
Unite leading experts across law, policy, cybersecurity, data, and AI to manage arising privacy, governance, and security risks—turning innovative research into deployable solutions for organizations and society.
Our Mission
We unite disciplines, translate research into practice, and help organizations deploy trustworthy privacy, security, and AI governance at scale.
Mission Statements
B. Outcomes-focused
Translate evidence-based research into practical playbooks that safeguard data, govern AI responsibly, and reduce legal and policy exposure in the technology marketplace.
C. Global & equitable
Build a global hub where diverse professionals tackle contemporary technology problems—and expand equitable opportunities through our fellowship and career pathways.
D. Policy & standards
Serve as a corporate thought leader shaping Tech, Data, and AI policy—bridging regulators, industry, and academia for interoperable, real-world governance.
E. Research → Deployment
Convert cutting-edge work in privacy engineering, AI governance, and cybersecurity into operational controls that work in production at scale.
F. Trusted partner
Be the trusted partner for organizations seeking solutions to current and emerging risks—from large language models to cross-border data challenges.
G. Professional association hub
Convene a cross-disciplinary community—tech attorneys, regulators, privacy engineers, AI/ML experts, and data professionals—advancing shared practice, templates, and mentorship.
H. AI-era focus
Steer AI innovation with privacy by design, transparency, and accountability—so teams can deploy powerful models without compromising rights or safety.
I. Public interest & resilience
Protect individuals, strengthen institutions, and enable responsible innovation through rigorous governance, robust security, and practical compliance.
J. Innovation with safeguards
Accelerate technological progress while embedding privacy, security, and policy safeguards that earn trust and withstand real-world scrutiny.
Mission Pillars
Cross-disciplinary excellence
Law, policy, cybersecurity, data, and AI/ML working as one.
Research-to-practice
Evidence turned into templates, controls, and operations.
AI governance
Transparency, risk scoring, and accountability for LLMs and models.
Privacy & security by design
Resilient architectures and practices that reduce exposure.
Global & equitable
Fellowship and mentorship opening pathways across regions.
Policy leadership
Interoperable standards shaped with regulators and industry.