Researcher Partha Chakraborty Advances AI-Driven Cybersecurity and Intelligent Information Systems

Artificial intelligence and data-driven systems are transforming how governments, businesses, and critical infrastructure operate. As digital systems become more complex, ensuring cybersecurity, privacy, and system resilience has become a major priority. Partha Chakraborty, a researcher specialising in artificial intelligence, cybersecurity analytics, and management information systems, is contributing to this effort through research focused on AI-driven cyber defence and intelligent enterprise systems.

Chakraborty is currently pursuing a Doctorate in Organizational Leadership with a specialisation in Management Information Systems at International American University in Los Angeles. His research examines how artificial intelligence, big data analytics, and secure data architectures can strengthen modern information systems used across enterprise and public-sector environments.

His work has been highlighted in academic publications and emerging media coverage discussing AI-based cybersecurity frameworks and intelligent information systems, reflecting growing recognition of the importance of secure AI technologies for digital infrastructure.

Chakraborty’s research focuses on developing advanced cybersecurity intelligence frameworks powered by artificial intelligence and big data analytics. These systems aim to detect cyber threats more efficiently while supporting secure data collaboration across organisations.

His publications include several peer-reviewed studies addressing cybersecurity governance, AI- driven threat detection, and distributed data systems. Notable works include:

• “AI-Enhanced Cyber Threat Detection and Response Advancing National Security in Critical Infrastructure.”
• “Enhancing Cybersecurity Threat Detection and Response Through Big Data Analytics in Management Information Systems.”
• “AI-Driven Cyber Threat Intelligence as a Management Information System: Integrating Cybersecurity Governance and IT Project Management for Organisational Resilience.”

These studies explore how organizations can integrate artificial intelligence into cybersecurity monitoring systems to improve detection accuracy and strengthen digital defence capabilities.

Another important contribution is the study “A Privacy-Preserving Federated Intrusion Detection System Leveraging Secure Multi-Party Computation Across Collaborative Cloud Tenants,” which demonstrates how federated learning can enable multiple organisations to collaboratively detect cyber threats without exposing sensitive data.

Chakraborty has also published research on data governance frameworks and enterprise analytics, including works such as:

• “Embedding Cybersecurity Risk Management into Information Systems Governance: A National-Scale Framework for Organisational Resilience.”
• “TrustworthyDataLakehouseDesignUsingFederatedLearningand”
• “Secured and Standardized Intelligent Zero-Touch 6G Framework for Edge AI- Applications”

These studies address the growing need for secure, transparent, and intelligent information systems capable of supporting decision-making in complex digital environments.

Chakraborty actively contributes to the global research community. He is a professional member of IEEE (Institute of Electrical and Electronics Engineers) and serves as an Editorial Board Member of the Journal of Business and Management Studies, supporting peer-reviewed research in business analytics and information systems.

His work has been recognised internationally, including the Best Paper Presentation Award at ICCCNet 2025, which highlights the relevance of his research in AI-driven cybersecurity and digital governance.

In addition to academic research, Chakraborty gained professional experience as a Software Quality Analyst at Transfotech, where he worked on software testing and quality assurance for enterprise IT systems. This experience complements his research focus on building reliable, secure, and scalable digital infrastructures.

As cyber threats grow increasingly sophisticated and organisations rely more heavily on artificial intelligence and cloud platforms, research such as Chakraborty’s plays an important role in developing secure AI frameworks, privacy-preserving data systems, and resilient information infrastructures.

Through continued research and collaboration, Chakraborty aims to advance innovative approaches that strengthen AI security, enterprise analytics, and cybersecurity governance, helping organisations build more trustworthy digital ecosystems.