Abdul Gaffar Musab Syed

Motivated and detail-oriented Cybersecurity Master’s graduate with CompTIA Security+ certification and a strong academic foundation in information security, risk management, and threat mitigation. Skilled in utilizing industry-standard tools including Wireshark, Nmap, Metasploit, and Splunk for network monitoring, vulnerability assessment, and incident response. Demonstrated ability to analyze security issues and implement effective solutions through hands-on projects and lab environments. Committed to continuous learning and contributing to organizational security objectives in a dynamic and collaborative environment.

Automated CTI mapping to MITRE ATT&CK Framework.

• Implemented a machine-learning pipeline that transforms unstructured CTI reports into standardized MITRE ATT&CK mappings.
• Focused on reducing manual effort spent both for human and machines in terms of classification process by using two techniques- Search Engine-based and Machine Learning.
• Used Google and DuckDuckGo Engines for Search based analysis. The Machine Learning solution uses SciBERT to generate contextual embeddings and a BiLSTM to interpret sequence relationships, enabling automated assignment of tactics and techniques from raw intelligence data and reducing manual effort in analyst workflows.
• Created a dashboard as a Flask web application, allowing users to upload files for predicting MITRE ATT&CK tactics and techniques.