AlJasser AlGhamdi

Artificial Intelligence Specialization · Cohort 2026

An automated tiered-evidence toolkit for cybersecurity compliance assessment in Saudi SMEs

A tool that checks how well a Saudi company follows the national cybersecurity standards, using nothing but a scan of what the company already shows to the internet. No passwords, no software to install, no security team needed. It goes through every control in the ECC-2:2024 and NCNICC-1:2025 standards, sorts out which ones a scan can actually prove, and produces evidence for each of them. It also compares what a company says about itself with what the scan finds, and points out where the two disagree. Built and tested end to end, with everything released so others can run it themselves.

Read the final report (PDF)

Cybersecurity Specialization · Cohort 2025

AI-Driven SIEM and SOAR Integration for Enhanced Cyber Defense and Automation

This project focuses on enhancing cybersecurity operations by implementing and integrating Security Information and Event Management (SIEM) systems with Security Orchestration, Automation, and Response (SOAR) platforms, leveraging Artificial Intelligence (AI) for improved threat detection and response. The project aims to explore how AI-driven analytics can help automate incident detection, investigation, and response processes, reducing manual intervention and speeding up response times. Key components of the project include: 1. SIEM Integration: Streamlining real-time monitoring and analysis of security events from various data sources (Applications logs, Firewall logs, WAF, system logs, etc.) to identify potential threats. 2. SOAR Implementation: Automating incident response workflows, including alert triage, investigation, and mitigation, through predefined playbooks and AI assistance. 3. AI/ML Integration: Applying machine learning techniques to analyze large datasets for anomalous patterns, identify emerging threats, and suggest corrective actions. 4. Automation: Developing automated workflows to reduce response time and enhance operational efficiency in handling cybersecurity incidents. This project will allow you to gain hands-on experience with advanced cybersecurity tools and

Mentor: Ali Hassan & Mahmoud Ellouh

See it in the program report (PDF)