AI Governance & Assurance
Translate commitments and standards into lifecycle controls, accountable oversight, evidence, and assurance.
AI governance & assurance · cybersecurity & GRC · product trust
Anupam Gupta
Trust, engineered for consequential technology.
I lead across AI governance, cybersecurity, product and engineering security, GRC, technology and AI audit, and independent assurance so consequential technology can be trusted in practice.
Current leadershipSenior Security Industry Specialist, Amazon
Industry contribution
Lead Architect and Advisor, Cyber Future Foundation
Explore RSAIF.AI
01 Leadership portfolio
I turn frontier technology risk into systems people can operate.
My work sits between strategy and execution: aligning engineering, security, risk, privacy, legal, compliance, and executive stakeholders around AI and technology decisions that withstand scrutiny.
The objective is not more governance. It is evaluable systems, better judgment, clearer accountability, and durable trust.
AI Risk Engineering & Evaluation
Structure model and system evaluation, technical risk scenarios, testing, monitoring, and decision thresholds.
Product & Engineering Security
Connect AI architecture, identity, data access, threats, controls, and evidence to secure product decisions.
Enterprise GRC & Product Trust
Build scalable control and assurance systems that earn confidence from customers, regulators, and leaders.
Technology & AI Audit
Use technical depth, analytics, and automation to make independent assurance a source of decision signal.
Resilience, Data & Ecosystem Risk
Strengthen AI data, model supply chains, critical services, and external dependencies before disruption tests them.
02 Executive trust architecture
Standards are inputs. Assurance is the system.
Across every domain, policy and risk become evaluation, controls, observable evidence, and decisions.
Risk thesisArchitectureEvaluationEvidenceDecision
01
AI governance & assurance
Govern and assure AI across its lifecycle.
Translate commitments into evaluable controls, system evidence, accountable oversight, and decisions across the AI lifecycle.
AccountabilityLifecycle controlsDecision evidence
03 Leadership impact
What I bring to consequential mandates.
Capabilities designed to transfer across organizations, industries, and technologies.
Policy into operational assurance
Turn emerging AI and global technology obligations into control baselines, evidence strategies, and product decisions.
AI risk into evaluation
Convert model, agent, data, and system risks into testable scenarios, observable evidence, and decision thresholds.
Security into engineering decisions
Connect AI architecture, identity, data access, cloud, threats, and secure development to product execution.
GRC into product trust
Build scalable assurance mechanisms that make security and compliance defensible to customers and regulators.
Audit into continuous signal
Use analytics, automation, AI-assisted evaluation, and technical judgment to improve coverage and insight.
04 Leadership in the room
Ideas earn trust when they can be heard.
Selected moments from conferences, panels, and practitioner sessions.
05 Selected journey
A career building trust where technology changes fastest.
The through-line: turn complex risk into systems engineers can use, executives can govern, and assurance teams can trust.
Amazon
Senior Security Industry SpecialistBuilt repeatable trust mechanisms connecting global product regulation, security engineering, evidence, and resilience, turning emerging obligations into operational readiness.
Cyber Future Foundation
Lead Architect and AdvisorArchitected and advanced RSAIF MOSAIC, translating responsible and secure AI principles into an operating framework, learning pathways, and practitioner guidance.
Explore the RSAIF ecosystemFidelity Investments
Senior IT Audit AnalystMoved assurance closer to engineering by applying threat-informed thinking across identity, cloud, encryption, authentication, and DevSecOps.
Federal Home Loan Bank of Dallas
Senior IT AuditorExpanded technology assurance across cloud, data, infrastructure, third parties, and resilience within a regulated financial environment.
06 Foundation & recognition
Depth built through practice, research, and contribution.
AI & security credentials
- Executive Introduction to RSAIF
- Practitioner's Playbook for RSAIF
- GIAC Security Leadership (GSLC)
- CISA
- CDPSE
- ISO 27001 Lead Implementer
- ISO 27001 Lead Auditor
Risk & technology
- Certified ISO 31000 Internal Controls Risk Analyst
- AWS Security Compliance and Governance for AI Solutions
- CSX Cybersecurity Fundamentals Certificate (CSXF)
- Microsoft Certified: Azure Fundamentals
- Certificate in Cybersecurity Systems (CCSS)
Recognition
- SANS Security Leadership Gold Award
- Marquis Who's Who
- Esther R. Sawyer Research Award
- Mark Salamasick IT Auditor Fellowship
- Gold Medalist
Education & research
- MS, Information Technology & Management
The University of Texas at Dallas - BS, Computer Science
University of Delhi - Research in social engineering and organizational governance
Leadership conversations
Advanced AI needs leaders who can make trust operational.
I am interested in global leadership mandates across AI assurance, product trust, AI security, risk engineering, technology audit, and governance.