Mirror Security Limited and Yotta Data Services have partnered to launch Secure Encrypted AI Inference as a Service on Yotta’s Shakti Cloud, enabling businesses in regulated sectors to run AI workloads on sensitive data while maintaining encryption throughout. This collaboration marks a significant advancement in privacy-preserving AI technologies in India.
This second part of the series focuses on practical requirements for compliance with the EU AI Act when using AI in GCP-critical electronic Trial Master File (eTMF) systems, including governance framework, risk management, and transparency measures to ensure regulatory compliance.
As India prepares to host the AI Impact Summit 2026, a policy report highlights the alarming use of AI to perpetuate hate and discrimination against marginalized communities amid democratic backsliding. The report calls for rights-respecting regulations and emphasizes the need for transparency and accountability in AI governance to protect vulnerable groups.
The AI Governance Bill mandates that AI developers and users manage legal and ethical risks, particularly regarding copyright violations from unauthorized training data. Deputy Digital Minister Datuk Wilson Ugak Kumbong highlighted that the legislation provides a governance framework to ensure responsible, transparent, and legally compliant AI development while maintaining existing copyright laws.
Many organizations acknowledge the need for AI governance, but only a few have developed mature models. According to a Cisco survey, just 12% describe their AI governance efforts as mature. The rapid AI adoption pace complicates governance as IT leaders must balance compliance, transparency, and ethics alongside technology deployment.
A global biopharmaceutical company identified gaps in its AI governance framework and collaborated with EY to enhance responsible AI practices, ensuring compliance, mitigating risks, and maintaining a human-centric AI approach.
As organizations integrate AI into eTMF systems, they must navigate the complexities of the EU AI Act, which establishes a risk-based regulatory framework for AI. This legislation aims to ensure that AI systems are safe, transparent, and respect fundamental rights, affecting how compliance and patient protection are demonstrated in clinical trials.
As artificial intelligence (AI) rapidly expands, companies face significant legal challenges including evolving regulations and litigation risks. Organizations must proactively integrate AI governance to ensure transparency, compliance, and mitigate potential legal risks, turning these challenges into competitive advantages.
Malaysia’s new AI Governance Bill requires developers to manage legal and ethical risks, especially regarding copyright issues from unlicensed training data. The bill introduces risk assessments, transparency requirements, and enforcement measures to ensure AI accountability.
Krishnaveni Palanivelu, Senior Cybersecurity Architect, has been appointed Professor of Practice at two international universities and holds prestigious positions in global AI and cybersecurity conferences. She is also authoring multiple books on AI security and zero-trust architecture and serves as Vice President of Finance and Sponsorship for the Women in Cybersecurity Austin Affiliate.