Manager - AI Security (Cybersecurity)

Role Overview

The Manager - AI Security leads the creation, deployment, and ongoing enhancement of AI-specific cybersecurity measures throughout the organization. This role focuses on protecting against AI-powered external attacks such as deepfake-driven business email compromise, AI-generated phishing, and synthetic identity fraud, while also safeguarding internal AI applications including copilot and agentic platforms. The manager acts as the subject matter expert on AI security, collaborating with Technology GRC, Internal Audit, and AI Assurance teams to establish a comprehensive AI defense strategy aligned with legal and regulatory standards like the Cyber Security Act 2018.

Key Responsibilities

• Develop and maintain AI security strategies and architecture aligned with enterprise risk and compliance frameworks including NIST AI RMF, ISO 42001, OWASP LLM Top 10, IMDA, MAS, and EU AI Act.
• Serve as the senior technical advisor on AI security matters and present updates to executive leadership and the Board.
• Create governance frameworks and conduct AI security awareness initiatives targeting high-risk business units.
• Manage relationships and budgets with AI security vendors, MSSPs, and red-team providers, coordinating audit remediation in partnership with AI Assurance.
• Design and deploy security controls to protect AI agents, copilots, and automated systems against prompt injection, data exfiltration, and other AI-specific threat vectors.
• Integrate AI threat detection capabilities into SOC workflows and SIEM systems.
• Develop and lead incident response playbooks for AI threat scenarios including deepfake BEC, model misuse, and AI-driven social engineering.
• Oversee AI-focused adversarial testing and red-teaming exercises and drive remediation of resulting vulnerabilities.
• Maintain vigilant monitoring, control enforcement, and readiness for AI security incidents in coordination with SOC and operational teams.

Qualifications and Experience

• Bachelor’s degree in Computer Science, Cybersecurity, Engineering, or a closely related field.
• 7 to 10 years of cybersecurity experience with minimum 3 years specializing in AI/ML security or ML security operations.
• Practical experience securing production AI environments including generative AI, agentic systems, and machine learning pipelines.
• Proven ability to translate highly technical AI risks into strategic narratives for executive audiences and boards.
• Senior cybersecurity certification such as CISSP, CISM, or recognized equivalent.
• Familiarity with standards and frameworks like NIST AI RMF, ISO/IEC 42001, OWASP LLM Top 10, and MITRE ATLAS.
• Strong verbal and written communication skills with experience engaging C-level and executive stakeholders.