Trustworthy AI and Cybersecurity represents an emerging interdisciplinary field that focuses on the development, deployment, governance, and protection of artificial intelligence systems that are reliable, secure, transparent, accountable, and aligned with human values. The rapid advancement of artificial intelligence (AI), machine learning, generative AI, autonomous systems, intelligent information systems, and connected digital technologies has fundamentally transformed the cybersecurity landscape. AI is increasingly being integrated into critical applications across healthcare, finance, education, governance, manufacturing, transportation, defence, and other sectors, while simultaneously creating new forms of cybersecurity risks and vulnerabilities. These developments have introduced complex challenges concerning adversarial attacks, data and model security, privacy, algorithmic bias, misinformation, system manipulation, explainability, accountability, and the reliability of AI-driven decisions. Trustworthy AI and cybersecurity therefore require an integrated approach that addresses not only the intelligence and performance of AI systems but also their resilience, security, ethical integrity, and ability to operate safely within complex digital environments.
Trustworthy AI and Cybersecurity focuses on establishing confidence in AI systems throughout their entire lifecycle, from data collection and model development to deployment, monitoring, and governance. The field encompasses a broad range of topics including trustworthy and responsible AI, AI security, adversarial machine learning, secure machine learning, privacy-preserving AI, explainable and interpretable AI, robust AI, AI risk management, AI governance, ethical AI, cybersecurity analytics, threat intelligence, intrusion detection, malware analysis, digital forensics, identity and access management, secure software and systems, and cyber resilience. The emergence of generative AI and large language models has further expanded the cybersecurity landscape by introducing new concerns related to prompt injection, model manipulation, data leakage, deepfakes, automated cyberattacks, and the misuse of intelligent technologies. At the same time, AI provides powerful capabilities for threat detection, anomaly identification, vulnerability assessment, incident response, fraud detection, and proactive cyber defence. These developments highlight the need for AI systems and cybersecurity infrastructures that are secure by design, resilient against emerging threats, transparent in their operation, and capable of maintaining trust in increasingly interconnected digital ecosystems.
The International Conference on Trustworthy AI and Cybersecurity serves as a global platform for researchers, academicians, cybersecurity professionals, industry practitioners, policymakers, technology innovators, and information security experts to exchange knowledge, present emerging research, and explore the evolving relationship between artificial intelligence and cybersecurity. The conference welcomes theoretical, methodological, empirical, experimental, and application-oriented contributions addressing the design, development, evaluation, security, governance, and societal implications of trustworthy AI and secure intelligent systems. Key areas include trustworthy and responsible AI, AI governance and regulation, AI and cybersecurity, adversarial AI, secure and robust machine learning, privacy-preserving technologies, explainable AI, AI risk and assurance, cybersecurity intelligence, threat detection and prediction, intrusion detection systems, digital forensics, malware and ransomware analysis, cloud and edge security, IoT security, blockchain and decentralized security, critical infrastructure protection, identity and access management, secure autonomous systems, generative AI security, and human-centered cybersecurity.
Through keynote addresses, technical sessions, workshops, panel discussions, demonstrations, tutorials, and industry-academic interactions, the conference aims to foster interdisciplinary collaboration and advance the development of secure, reliable, and responsible intelligent technologies. By bringing together diverse perspectives from computer science, artificial intelligence, cybersecurity, information systems, engineering, law, management, social sciences, and related disciplines, the conference seeks to address both the technical and societal dimensions of trustworthy digital transformation. Particular emphasis is placed on developing approaches that strengthen resilience against emerging cyber threats while ensuring transparency, accountability, privacy, fairness, and human oversight. Ultimately, the conference aims to contribute to the development of trustworthy AI and secure digital ecosystems in which intelligent technologies can be deployed responsibly, cyber risks can be anticipated and managed effectively, and innovation can progress without compromising security, privacy, human values, and societal trust.
| Opening of Paper Submission site | 1st November, 2026 |
| Last Date of Paper Submission | 31st January, 2027 |
| Notification of Acceptance/Rejection | 17th March, 2027 |
| Camera-Ready Submission | 1st May, 2027 |
| Last Date of Registration | 15th June, 2027 |
Date of Conference |
18th -19th June, 2027 |
Proceeding: All papers, both invited and contributed, will be subjected to double blind review by at least 2 experts from the committees. After a careful reviewing process before the final decision and after a detailed presentation at the conference, all the accepted papers will be published in a proceeding, by a reputed publisher.
“Florin City, St. George's University, London, UK ”
“University of Hyogo, Kobe, Japan”
“IIIT, Bhubaneswar, India”
“Dean Research, IIMT, Bhubaneswar, Odisha”
“Professor in Artificial Intelligence and Data Science, Coventry University, UK”
“Chairman, I.I.M.T., Bhubaneswar, Odisha, India”
“Professor, I.I.M.T., Bhubaneswar, Head of CSE(Cyber Security) and Professor-in-Charge Examination.”
“Associate Professor, IIMT Bhubaneswar”
“University Of Melbourne, Australia. ”
“Paulista University, Brazil”
“Ritsumeikan University, Japan.”
“Director, I.I.M.T, Bhubaneswar.”
“Assistant Professor, I.I.M.T. Bhubaneswar.”
Prospective authors are invited to submit their complete papers (including all sections, figures, tables, and references) through conference email address: [email protected].
