Montii Abid

Montii Abid serves as a Casual Academic at the Faculty of Engineering and Information Technology, University of Technology Sydney, leveraging over 15 years of industry experience as a cybersecurity consultant, educator, and researcher specializing in incident response, SOC optimization, and AI-driven security practices for global enterprises and SMEs.

His research focuses on:

• Developing incident response readiness frameworks through simulation and benchmarking
• Integrating AI/LLMs into SIEM, EDR, and SOAR platforms for accelerated threat detection
• Optimizing SOC effectiveness via vendor benchmarking and technology evaluation
• Automating threat intelligence enrichment using AI-driven correlation
• Streamlining compliance processes for ISO, PCI DSS, GDPR, and SOC 2
• Designing cloud-native resilient architectures with predictive analytics

His work consistently bridges theoretical security models with practical enterprise implementation, emphasizing adaptive solutions for evolving threat landscapes.

Montii's research output, exemplified by his 2024 conference paper on adaptive incident response metrics, demonstrates a clear trajectory toward AI-augmented security operations. His framework uniquely combines proactive threat hunting, real-time intelligence, and machine learning to create dynamic response capabilities that address critical gaps in current cybersecurity practices.

As an educator, he actively mentors professionals in applied threat intelligence and incident management, focusing on practical integration of next-generation security tools. His teaching philosophy centers on enabling organizations—from SMEs to global corporations—to navigate the complex vendor ecosystem and implement effective AI-enhanced security stacks, though specific advisees and grant details remain undisclosed in available materials.