fathi belmkadem

• Discovered 3 vulnerabilities in Cryptomator Hub during penetration testing on production infrastructure, published as GitHub Security Advisories (CVE-2026-64683, CVE-2026-64681, CVE-2026-64674). • Deployed and configured SIEM on a Kubernetes cluster, establishing real-time threat detection. • Automated infrastructure provisioning with Terraform, Ansible, and Helm, and integrated SAST scanning into CI/CD pipelines.

• Configured security policies on WAF/firewall platforms across 50+ production environments. • Architected secure B2B connectivity using VPN protocols, maintaining 99.9% uptime for remote enterprise access. • Automated network-security operations and audits using Python and Ansible.

• Architected an autonomous AI-driven penetration testing system using Reinforcement Learning and Deep Learning, achieving a 92% accuracy rate in identifying exploitable vulnerabilities. • Orchestrated automated security testing pipelines via Docker and GitLab CI/CD, accelerating the vulnerability assessment lifecycle by 50% across distributed network environments.

• Integrated the MITRE ATT&CK framework into a SOAR platform, improving threat response efficiency by 45% through automated mapping of adversary techniques to playbooks. • Automated OSquery data collection and parsing using Python and the ELK Stack, increasing visibility into system artifacts by 60% across hybrid cloud infrastructures. • Engineered 20+ custom detection rules for complex attack vectors, resulting in a 20% reduction in MTTR (Mean Time to Respond) during simulated security incidents.