AI Cybersecurity Expert

TAT IT Technolgies; Oman; On-site; OMR 20,000 - 32,000; Full time

Job summary

TAT IT Technolgies is seeking an AI Cybersecurity Expert in Oman to lead the integration of AI and ML into cybersecurity strategy and operations. You will shape governance, risk management, and secure AI-enabled technologies across IT and OT environments.

The role focuses on advanced threat detection, security analytics, automated incident response, and AI-assisted cybersecurity governance aligned with international standards and national AI direction.

Qualifications

• Strong experience in integration of Artificial Intelligence (AI) and Machine Learning (ML).
• Strong experience in Cybersecurity leadership on AI cybersecurity, AI risk, AI governance, responsible AI adoption, and securing AI-enabled technologies.

Responsibilities

• Develop and maintain AI Cybersecurity strategy, operating model, and multi-year implementation roadmap.
• Define strategic priorities for AI adoption across cybersecurity functions including SOC, threat intelligence, vulnerability management, incident response, and security monitoring.

Skills

AI

Cybersecurity

ML

Job description

We have an urgent requirement for AI Cybersecurity Expert – AI-Driven, Adaptive, Powered & Automated with our client in Oman

Strong experience in integration of Artificial Intelligence (AI) and Machine Learning (ML)

Strong experience in Cybersecurity leadership on AI cybersecurity, AI Driven, AI risk, AI governance, AI adoption and securing AI-enabled technologies.

Strong experience in implement AI/ML capabilities to enhance advanced threat detection, behavioural analytics, anomaly detection, threat correlation, and predictive security analytics.

Experience in Data leakage, intellectual property exposure, privacy, model integrity, prompt injection, insecure AI integrations, supply-chain risks, and regulatory compliance.

Job Purpose

The AI Cybersecurity Expert will play a strategic and technical leadership role in integrating Artificial Intelligence (AI) and Machine Learning (ML) capabilities into cybersecurity strategy, operations, processes, and technology landscape. The role will be responsible for identifying, designing, governing, and enabling AI-driven cybersecurity use cases, including advanced threat detection, security analytics, automated incident response, predictive security, security control optimization, and AI-assisted cyber defence. The resource will act as a primary subject matter expert and strategic advisor to Cybersecurity leadership on AI cybersecurity, Shadow AI risk, AI governance, responsible AI adoption, and securing AI-enabled technologies across IT and OT environments. The role will ensure that AI-powered cybersecurity capabilities are secure, explainable, auditable, risk-based, and aligned with Digital Cybersecurity Strategy 2026–2030, NIST Cybersecurity Framework (CSF) 2.0, IEC 62443, Oman’s national AI governance direction, and applicable regulatory requirements.

Key Responsibilities

• Develop and maintain AI Cybersecurity Strategy, operating model, and multi-year implementation roadmap.
• Define strategic priorities for AI adoption across cybersecurity functions, including SOC, threat intelligence, vulnerability management, incident response, security monitoring, risk management, and security assurance.
• Identify capability gaps and define initiatives required to establish an AI-driven, adaptive, and automated cybersecurity operating model.
• Establish measurable objectives, KPIs, maturity targets, investment priorities, and implementation milestones.

Skills: ai,cybersecurity,ml

• AI-Driven Threat Detection & Security Operations
• Identify and implement AI/ML capabilities to enhance advanced threat detection, behavioural analytics, anomaly detection, threat correlation, and predictive security analytics.
• Enable AI-driven enrichment of SIEM, SOAR, XDR, EDR, NDR, threat intelligence, and security monitoring platforms.
• Design AI-assisted security use cases capable of identifying sophisticated, emerging, and AI-enabled cyber threats in near real time.
• Support the development of automated and semi-automated incident response and security orchestration playbooks.
• Evaluate opportunities to use AI to improve SOC efficiency, analyst productivity, detection accuracy, and response times.
• Shadow AI & AI Risk Management
• Establish governance mechanisms to identify, assess, monitor, and control Shadow AI and unmanaged AI usage across IT and OT environments.
• Assess risks associated with unauthorized AI tools, GenAI platforms, AI agents, third‑party models, and unmanaged AI integrations.
• Define controls addressing data leakage, intellectual property exposure, privacy, model integrity, prompt injection, insecure AI integrations, supply‑chain risks, and regulatory compliance.
• Establish processes for AI discovery, classification, risk assessment, approval, monitoring, and lifecycle management.
• AI Governance & Responsible AI
• Develop and implement an AI Cybersecurity Governance Framework aligned with applicable national and international standards and regulatory expectations.
• Provide cybersecurity guidance for responsible AI adoption within critical infrastructure environments.
• Define security, risk, privacy, accountability, transparency, auditability, and human‑oversight requirements for AI‑enabled solutions.
• Establish risk‑based security controls for AI models, AI applications, AI agents, datasets, APIs, and AI infrastructure.
• Support AI‑related risk assessments, architecture reviews, security assessments, and assurance activities.
• AI‑Powered Security Controls & Automation
• Identify routine and resource‑intensive cybersecurity processes that can be automated or augmented through AI.
• Develop business cases and technical approaches for AI‑powered security controls and automation.
• Drive the adoption of AI‑assisted workflows to improve operational efficiency, reduce manual effort, optimize resources, and support cost reduction.
• Measure the effectiveness of AI‑enabled controls through operational KPIs, security outcomes, and continuous improvement.
• Securing AI Technologies
• Define and implement applicable AI cybersecurity controls for technologies deployed.
• Conduct security assessments of AI/ML platforms, GenAI applications, AI agents, model pipelines, APIs, and supporting infrastructure.
• Address AI‑specific attack vectors including prompt injection, data poisoning, model manipulation, model extraction, adversarial attacks, insecure plugins/tools, excessive agency, and AI supply‑chain risks.
• Ensure AI solutions are incorporated into existing cybersecurity architecture, risk management, vulnerability management, and security assurance processes.
• Vendor & Technology Assessment
• Assess cybersecurity vendors and technology providers for their AI capabilities, maturity, security architecture, and suitability.
• Evaluate emerging AI cybersecurity technologies and identify opportunities for adoption.
• Perform capability assessments, proof‑of‑concepts, technology evaluations, and gap analysis.
• Provide recommendations to leadership on technology selection, investment priorities, and AI adoption opportunities.
• AI Cybersecurity Capability Development
• Establish and develop internal AI Cybersecurity capability, skills, processes, and operating model.
• Define required competencies, training, awareness, and knowledge‑development programs.
• Promote an AI‑first and cybersecurity‑by‑design mindset across cybersecurity teams.
• Develop reusable AI cybersecurity frameworks, standards, patterns, use cases, and implementation guidelines.
• AI Cybersecurity Use Cases
• Identify, prioritize, and support implementation of high‑value AI cybersecurity use cases.
• Develop use‑case business cases covering risk reduction, operational efficiency, automation, cost optimization and security outcomes.
• Support pilots and production adoption of AI‑enabled cybersecurity capabilities.
• Establish governance and performance measurement mechanisms for AI cybersecurity use cases.