Guests:
Mohini Sharma, TMT Technology Consultant, EY.
Jaydeep Katariya, AMI Technology Consultant, EY.

The metaverse seamlessly integrates physical and digital spaces, enabling AI-driven innovations in virtual interactions, autonomous avatars, and real-time experiences. However, increased reliance on AI brings sweeping cybersecurity challenges, such as adversarial attacks, deep fake impersonation, and AI-driven phishing campaigns. The security of the metaverse is vital for the sustainability of user trust and system integrity. As AI assumes a larger role in virtual environments, proactive cybersecurity measures must be taken to counter emerging threats.
This paper introduces DAI-TIRS, a holistic security framework designed to proactively secure the metaverse. DAI-TIRS is the integration of machine learning-based anomaly detection, dynamic honeypots, and predictive threat modelling that detect, classify, and mitigate AI-driven threats in real time. By utilising MITRE ATT&CK and the PyTM framework, it constantly learns new emerging threats through advanced behavioural analytics and keeps pace with the adversarial AI model’s evolution. The experimental results from a simulated metaverse environment demonstrate that DAI-TIRS achieves 93% accuracy in threat detection, 90% precision in classifying the severity, and a 36.9% faster threat mitigation response time than the average performance of baseline models, as detailed in the paper.
Recommended reading/viewing, Paper(in this topic) for practitioners
Their Research Paper which got published in the J.UCS: DAI-TIRS: An AI-Powered Threat Intelligence and Response System for Securing the Metaverse

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