Information Security & Ai Specialist

Description:

The AI and Information Security Lead will be instrumental in ensuring that AI systems and data assets are secure, compliant, and ethically managed, aligning with global best practices and regional regulatory standards. This role will drive security innovation, mitigate risks associated with AI technologies, and support the organization in adopting AI securely while ensuring the privacy and integrity of its data.

Required Skills:
Develop and execute a comprehensive AI security strategy that aligns with business objectives and digital transformation goals.
Lead the integration of AI-driven security solutions into the Group’s existing cybersecurity architecture, ensuring interoperability, scalability, and resilience.
Establish security frameworks for AI model development, deployment, and lifecycle management, incorporating best practices from NIST AI RMF and CSA's AI Organizational Responsibilities.
Collaborate with data governance teams to ensure AI models adhere to privacy standards and ethical considerations throughout their lifecycle.
Work closely with data governance teams to implement robust data protection measures, including encryption, access controls, and anonymization techniques, ensuring compliance with regional data protection laws such as the UAE's Data Protection Law and international standards like GDPR.
Oversee the secure handling of sensitive data throughout the AI model lifecycle, from development to deployment, supporting business innovation while mitigating risks.
Identify and assess emerging AI-driven security threats, implementing proactive measures to mitigate risks associated with adversarial AI, model poisoning, and data leakage.
Lead the development and execution of AI-specific threat models and risk assessments, ensuring alignment with overall risk management framework.
Stay ahead of emerging threats in AI and data security, providing continuous threat intelligence and mitigation strategies.
Ensure that AI systems adhere to ethical guidelines, promoting transparency, fairness, and accountability in AI decision-making processes.