Director - SOC Monitoring (CPX)
Date: 19 May 2026
Location: MBZ City, Abu Dhabi, AE
Company: G Forty Two General Trading LLC
Overview:
Director, Security Operations Center (SOC) – AI-Driven Cyber Defense Operations
Role Summary
We are seeking a visionary and operationally strong Director of Security Operations Center (SOC) to lead next-generation cyber defense operations powered by Artificial Intelligence (AI), automation, and advanced analytics.
This role is responsible for overseeing enterprise-wide security monitoring, threat detection, incident response, cyber resilience, and SOC transformation initiatives, with a strong emphasis on integrating AI-driven security operations, Generative AI (GenAI), machine learning (ML), and autonomous response capabilities into the SOC ecosystem.
The Director will lead the evolution from a traditional SOC to an AI-Augmented SOC capable of predictive threat detection, intelligent automation, behavioral analytics, and accelerated incident response.
Responsibilities:
Key Responsibilities
AI-Driven Security Operations Leadership
- Develop and execute the enterprise AI-enabled SOC strategy and roadmap.
- Lead transformation initiatives toward an AI-Augmented / Autonomous SOC operating model.
- Implement AI and ML capabilities for:
- Threat detection
- Behavioral analytics
- Anomaly detection
- Predictive risk scoring
- Automated triage
- Intelligent alert correlation
- Drive adoption of Generative AI (GenAI) security copilots to improve analyst productivity and incident investigation efficiency.
- Establish governance, risk controls, and ethical usage standards for AI within cyber operations.
- Evaluate emerging AI cybersecurity technologies and lead strategic adoption initiatives.
SOC Operations & Incident Response
- Lead 24x7 enterprise SOC operations across detection, investigation, response, recovery, and escalation management.
- Oversee SOC analysts, threat hunters, detection engineers, incident responders, and automation engineers.
- Direct major cyber incident response activities including ransomware, APTs, insider threats, cloud compromises, and AI-enabled attacks.
- Ensure rapid containment and remediation through AI-assisted response workflows and SOAR orchestration.
AI Security & Emerging Threat Defense
- Develop capabilities to detect and mitigate:
- AI-generated phishing attacks
- Deepfake-enabled social engineering
- LLM abuse and prompt injection attacks
- Adversarial AI threats
- AI model exploitation
- Data poisoning and model manipulation risks
- Collaborate with AI/ML engineering teams to secure enterprise AI systems and models.
- Establish monitoring and security controls for enterprise GenAI platforms and AI-powered applications.
Security Engineering & Automation
- Oversee AI-integrated security technologies including:
- SIEM
- SOAR
- UEBA
- EDR/XDR
- AI threat intelligence platforms
- Cloud-native security analytics
- Lead SOC automation initiatives to reduce manual effort and improve operational efficiency.
- Drive continuous improvement of detection engineering and telemetry optimization.
Threat Intelligence & Threat Hunting
- Lead AI-assisted threat hunting and proactive cyber defense operations.
- Integrate threat intelligence feeds with AI analytics platforms for predictive detection capabilities.
- Leverage MITRE ATT&CK and behavioral analytics to identify emerging attack patterns.
Qualifications:
- Bachelor’s degree in Cybersecurity, Computer Science, AI, Data Science, or related field.
- 10+ years of cybersecurity experience with 5+ years leading enterprise SOC operations.
- Proven experience implementing AI/ML technologies in cybersecurity operations environments.
- Strong expertise in:
- AI-driven SOC platforms
- SIEM/SOAR
- EDR/XDR
- Threat intelligence
- Cloud security
- Detection engineering
Key Technologies
- SIEM: Splunk, Microsoft Sentinel, QRadar
- SOAR: Cortex XSOAR, Splunk SOAR
- EDR/XDR: CrowdStrike, SentinelOne, Defender
- AI Security Platforms & Security Copilots
- UEBA & Behavioral Analytics
- Cloud Security: AWS, Azure, GCP
- Threat Intelligence Platforms
- Python, automation scripting, APIs
- Machine Learning & AI analytics frameworks
- MITRE ATT&CK
- Experience with security automation and orchestration.
- Knowledge of AI security risks, adversarial AI, and GenAI security considerations.
- Strong leadership, crisis management, and executive communication skills.
Preferred Qualifications
- Master’s degree in Cybersecurity, Artificial Intelligence, Machine Learning, or Information Assurance.
- Industry certifications such as:
- CISSP
- CISM
- GIAC
- GCIH
- GCFA
- Microsoft Security certifications
- Cloud security certifications
- Experience with:
- GenAI security governance
- LLM security
- Autonomous SOC technologies
- AI copilots for SecOps
- Cloud-native SOC architectures