CONIT 2026: Research on Secure Governance and Reliability Engineering for AI and LLM Workloads Receives Recognition

At the 6th International Conference on Intelligent Technologies (CONIT), held recently, a research paper titled “Secure Governance and Reliability Engineering for AI/LLM Cloud Workloads in Regulated Industries” by Mourya Chigurupati was honored for its significant contribution to the development of trustworthy artificial intelligence systems. The paper was selected after a rigorous peer review process that underscored its relevance and innovation in the field.

The research presents a comprehensive governance-driven framework designed to address key challenges associated with AI deployments in regulated industries. It emphasizes the integration of Zero-Trust security models, reliability engineering, and observability practices. Additionally, the framework incorporates compliance automation and cloud-native governance strategies aimed at enhancing security, resilience, transparency, and adhering to regulatory requirements.

The implications of this work are particularly pertinent in sectors such as finance, healthcare, and telecommunications, where regulatory scrutiny is high and the stakes for data integrity and security are critical. By promoting best practices in the governance of AI and large language model workloads, this research contributes to the ongoing discourse about ethical AI use and helps pave the way for safer and more reliable AI applications in sensitive industries.