CONIT 2026: Research on security management and engineering reliability for AI/LLM projects is recognized
PUNE: The Organizing Committee of the 6th International Conference on Intelligent Technologies (CONIT) is pleased to recognize the research paper titled “Secure Governance and Reliability Engineering for AI/LLM Cloud Workloads in Regulated Industries” for its significant contribution to the advancement of reliable and robust Artificial Intelligence (AI) systems. The conference attracted participation from researchers, academics, and industry experts from around the world. According to the organizers, the event received approximately 5,234 research papers from around the world, of which only 266 papers were selected following a peer review process in several areas, which shows that the conference has a high academic, technical, and competitive selection process. CONIT had internationally renowned speakers, speakers from Malaysia and USA like Ling Shing Wong, Tan Foong Ping, Sai Krishna Gunda, Akhilesh Kumar Aleti, Nilesh Mutyam, Rethish Nair Rajendran and Selvaraj Durairaj.By Mourya Chigurupati, this paper describes the challenges associated with the growth of AI and Large Language Models (LLMs) in all sectors such as healthcare, banking, insurance, legal services, and government. This study presents a governance-driven framework that combines Zero-Trust security principles, adaptive trust engineering, telemetry-driven monitoring, compliance authentication, and cloud-based governance systems. The system is designed to strengthen operational resilience, regulatory compliance, security compliance, and transparency as organizations help deploy AI services efficiently in highly regulated environments.Through continuous monitoring, detection of cognitive disturbances, call of management, management, management, management, management, management, management, management, management, management, management, management, management, management, management, management, management, management, management, management, management, management, management, management, management, management, management, management, management, management, management, management, management, management, management, management, management, management, management, management, management, management, management, management, management, management, management, management, management, management, management, management, management, management, management, management, management, management, management, management, management, management, management, management, management, management, management, management, management, management, management, management, management, management, management, management, management, management, management, management, management, management, management, management, management, management, management, management, management, management, management, management, management, management, management, management, management, management, management, management, management. Responsible AI and provides practical guidance for building secure, scalable, and reliable AI platforms that can meet business and regulatory requirements.
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