Vulnerability Management & Remediation
Guest: Vishal Kalro, CISO & DPO, Quatiphi

In this episode of Breakpoint, Neelu and Vishal discuss the complexities of #vulnerabilitymanagement and #remediation in #cybersecurity. They explore the challenges faced by #security teams in identifying and prioritizing vulnerabilities, the importance of collaboration with development teams, and how to tie #vulnerabilities to business #risks. Vishal emphasizes the need for actionable insights and effective communication between teams to ensure vulnerabilities are addressed efficiently.
In this conversation, they explore the friction between security and engineering teams, emphasizing the importance of empathy and communication. The discussion highlights the need for partnerships in vulnerability management, accountability for fixing issues, and the power of storytelling in articulating security risks. Ultimately, they advocate for a people-first mindset to foster collaboration and effective remediation strategies.

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Vulnerability Management & Remediation
Guest: Vishal Kalro, CISO & DPO, Quatiphi

The real security flaw isn't the vulnerability itself, it's the failure to execute remediation. Security teams are drowning in thousands of alerts and treating every bug like a Critical emergency. This "Alert Fatigue" guarantees that the actual high-risk exposures get missed, leaving the door wide open for the successful breach.

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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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