Manager- AI Security (Cyber)

Develop Architecture Requirements & Maintain Oversight

• Define and own AI Security strategy aligned to enterprise risk posture
• Establish secure-by-design architecture patterns for AI/ML systems (GenAI, agentic, ML,
  vendor AI)Set governance and control frameworks aligned with NIST AI RMF, ISO 42001, OWASP LLM Top 10, IMDA, MAS, EU AI Act
• Serve as technical authority on AI security for senior stakeholders and Board reporting
• Build AI security awareness programmes for high-risk business functions
• Manage AI security vendors, MSSPs, and red-team providers, including budget oversight
• Partner with AI Assurance to drive remediation of audit/assurance findings
• Maintain overall oversight of AI security posture, risks, and control effectiveness

Implement Security Systems

• Design and implement controls to secure AI agents, copilots, and automation

• Prompt injection protection, output filtering, sandboxing, tool restrictions

• Credential scoping and monitoring controls

• Embed AI-aware detection capabilities into SIEM and SOC pipelinesDevelop and

• implement incident response playbooks for AI-related threats

• Deepfake BEC, model abuse, agent escape, AI data exfiltration

• Implement defence mechanisms against AI-enabled external threats

• AI phishing, synthetic identity fraud, AI-driven social engineering

• Lead AI red-teaming and adversarial testing (internal / external providers)

• Drive remediation of vulnerabilities identified during testing

Manage Security Systems

• Monitor AI systems and enforce ongoing security controls
• Coordinate with SOC on AI threat detection and incident response
• Manage remediation of AI security risks to closure
• Maintain readiness for AI cybersecurity incidents
• Ensure effectiveness and continuous improvement of controls
• Coordinate AI security operations across IT, Risk, Ops, and vendors
• Oversee lifecycle management of AI security tools and systems

Job Requirements

• Bachelor’s degree in computer science, Cybersecurity, Engineering, or a related discipline.

• Minimum 7-10 years' experience in cybersecurity, with at least 3 years focused on AI/ML security or MLSecOps.

• Hands-on experience securing production AI systems — generative AI, agentic systems, or ML pipelines.

• Demonstrated ability to translate complex AI risk into board-level narrative.

• Senior security certification such as CISSP, CISM, or equivalent.

• Working knowledge of NIST AI RMF, ISO/IEC 42001, OWASP LLM Top 10, and MITRE ATLAS.

• Strong written and verbal communication skills, with executive-level stakeholder presence.