Ibrahim Waziri Jr.
Ibrahim Waziri Jr., is a Global Insider Risk Lead within Google’s Cloud CISO Risk & Compliance Insider Threat team, where he leads initiatives for cloud insider risk management, incident management, and global cybersecurity regulatory response. Having previously focused on U.S. Government national security cloud engineering, his work now centers on advancing global cybersecurity governance, responsible AI, and digital trust. His expertise spans cybersecurity engineering, national security strategy, product development, and security and AI governance, risk, and compliance. He currently serves on nonprofit boards dedicated to advancing cybersecurity and education and holds a Ph.D. in Information Security from Purdue University.
Prior to Google, he was a Principal Security Product Manager at Microsoft, leading Cloud and AI security engineering initiatives, product development, regulatory compliance, and incident response for Microsoft Azure for U.S. national security. In this role, he also led Microsoft’s Secure Future Initiative (SFI) across Microsoft Azure and Microsoft CELA, fundamentally transforming secure-by-design product strategies and driving the organization-wide adoption of advanced threat mitigation standards. His previous experience includes serving as an Adjunct Professor of Cybersecurity at Marymount University, a former Cybersecurity Fellow at New America, and professional roles at Deloitte, Apogee Research, RSA Security, and the U.S. International Trade Commission.
Prior to Google, he was a Principal Security Product Manager at Microsoft, leading Cloud and AI security engineering initiatives, product development, regulatory compliance, and incident response for Microsoft Azure for U.S. national security. In this role, he also led Microsoft’s Secure Future Initiative (SFI) across Microsoft Azure and Microsoft CELA, fundamentally transforming secure-by-design product strategies and driving the organization-wide adoption of advanced threat mitigation standards. His previous experience includes serving as an Adjunct Professor of Cybersecurity at Marymount University, a former Cybersecurity Fellow at New America, and professional roles at Deloitte, Apogee Research, RSA Security, and the U.S. International Trade Commission.
Authored Publications
Sort By
Preview abstract
As AI redefines identity verification in high stakes systems, it introduces novel risks like deepfake fraud and algorithmic bias, creating a critical trust deficit. This session will provide a practical framework for ethical governance, equipping leaders to build and manage secure, fair, and fundamentally trustworthy AI systems by design.
View details
GovSCH: An Open-Source Schema for Authoring Cybersecurity and AI Governance Documents
New America, New America (2025)
Preview abstract
The increasing complexity of cybersecurity and artificial intelligence (AI) executive orders, frameworks, and policies has made translating high-level directives into actionable implementation a persistent challenge. Policymakers, framework authors, and engineering teams often lack a unified approach for interpreting and operationalizing these documents, resulting in inefficiencies, misalignment, and delayed compliance. While existing standards such as the Open Security Controls Assessment Language (OSCAL) address control-level specifications, no standardized, machine-readable format exists for authoring and structuring high-level governance documents. This gap hinders collaboration across disciplines and obscures critical directives’ underlying intent and rationale.
This report introduces Governance Schema (GovSCH), an open-source schema designed to standardize the authoring and translation of cybersecurity and AI governance documents into a consistent, machine-readable format. By analyzing prior executive orders, regulatory frameworks, and policies, GovSCH identifies common structures and authoring practices to create an interoperable model that bridges policymakers, regulatory framework authors, and engineering teams. This approach enables more precise articulation of policy intent, improves transparency, and accelerates the technical implementation of regulations. Ultimately, GovSCH aims to enhance collaboration, standardization, and efficiency in cybersecurity and AI governance.
View details
