Breakpoint Security Podcast
Breakpoint-'Exploring the depths of Defensive Security'. The defensive side of Security is a world in itself with teams achieving amazing feats that involve excellent engineering practices and smart optimisation for scale. This is not talked about enough in the industry. Join me in the br3akp0int podcast as we reflect on the methods and approaches these smart teams use to solve practical challenges in information security and innovate their way into the future. Who is this meant for? : This podcast is for anyone in InfoSec willing to know more about advances in security techniques. This includes security researchers or professionals, product owners, compliance or cloud, AI/ML, threat intel, SecOps automation, Security Leaders, development teams, pentesters and security practitioners. A bit about me: I am a technical security enthusiast and have been dabbling my hands at both offensive and defensive security. I am passionate about growing security communities and have spoken and trained at various security conferences.
Breakpoint Security Podcast
S04EP08 | Securing You in the Metaverse | Mohini & Jaydeep
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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