TCG Digital Research on AI Governance Published in CERT-In Samvaad 2026 Conference Proceedings

TCG Digital Research on AI Governance Published in CERT-In Samvaad 2026 Conference Proceedings

July, 2026

TCG Digital is pleased to announce that its peer-reviewed research paper, “Auditing Artificial Intelligence Systems in Critical Sectors: Risks, Governance, and Emerging Frameworks,” has been published in the CERT-In Samvaad 2026 Conference Proceedings. 

The research explores the growing need for robust AI governance and auditing frameworks as organizations increasingly deploy AI across critical industries. Published by CERT-In – the national cybersecurity agency under the Ministry of Electronics and Information Technology (MeitY), Government of India, the proceedings bring together peer-reviewed research on emerging cybersecurity, digital trust, and AI governance challenges. 

The paper examines how organizations can strengthen trust in AI systems by embedding governance throughout the AI lifecycle. It explores key areas including explainability, accountability, bias management, data governance, model robustness, risk assessment, and emerging international governance frameworks that support responsible AI adoption. 

Authors:

Abir Ranjan Atarthy 
Director, Cyber Security Practices, TCG Digital
Suraj Das 
Asst. Manager, Cyber Security Practices, TCG Digital 

Key capabilities include:

  • AI governance and auditing frameworks for critical sectors
  • Explainability, transparency, and accountability in AI systems
  • Bias management and model risk assessment
  • Data governance and AI lifecycle oversight
  • Emerging global AI governance frameworks and best practices

As enterprise AI adoption continues to accelerate, governance has become a business imperative alongside innovation. This publication reflects TCG Digital’s commitment to advancing trustworthy AI through applied research and practical governance frameworks that help organizations build secure, transparent, and enterprise-ready AI systems. 

Download the conference proceedings and turn to page 108 to read the complete research and its recommendations for strengthening AI governance across critical industries.