Key Objectives:

- Drive Framework Adoption: Successfully guide and support the organization in adopting the AI Security Framework, ensuring they can effectively assess and manage AI-related risks.
- Integrate AI Security into Development: Oversee the update of the Secure Software Development LifeCycle (SSDLC) to formally include specific security testing activities for AI systems.
- Define the AI Guardrails Strategy: Lead the effort to test, select, and define a comprehensive strategy for deploying AI Guardrails, in close collaboration with Group Data & AI (GDAI), CyberDefense, and other key stakeholders.
- Shape the Future of Agentic AI Security: Provide expert security-by-design guidance for the development of strategic "Agentic Platform".

Key Responsibilities:

- Steer the project by animating weekly operational meetings and bi-monthly follow-ups.
- Prepare and present progress, risks, and results to the AI Security Steering Committee and contribute to the broader OneTrust program reporting.
- Act as the central point of contact, coordinating between entity representatives.
- Manage the "Triathlon Race" evaluation process for 41 entities, reviewing their AI risk assessments and use case evidence.
- Provide actionable feedback to each entity through dedicated one-page reports to help them achieve compliance and improve their security posture.
- Lead workshops to integrate AI security requirements into the SSDLC process, drawing on industry standards like the OWASP AI Testing Guide.
- Manage the AI Guardrails Proof of Concept (POC),



from framing the tests and coordinating with vendors to consolidating results into a final strategy deck.
- Participate in strategic workshops to provide security recommendations for the Agentic Platform architecture and capabilities.
- Oversee the update of the AI Security Framework to incorporate current threats and standards, preparing it for submission to the Policy Working Group.

Experience & Expertise:

- 10+ years of experience in cybersecurity program or project management.
- Demonstrable, in-depth experience leading AI Security or Trustworthy AI initiatives within a large, complex organization.
- Deep understanding of AI/ML-specific threats, vulnerabilities, and security controls (familiarity with OWASP Top 10 for LLMs/Agentic Applications is essential).
- Strong knowledge of risk management, security governance frameworks, and the Secure Software Development LifeCycle (SSDLC).
- Experience with security architecture, particularly in cloud environments, and an understanding of how to implement security-by-design.
- Experience in leading technical studies or Proofs of Concept (POCs) for security solutions.
- Exceptional leadership and stakeholder management skills, with the ability to drive consensus among diverse teams.
- Excellent communication and presentation skills, capable of reporting to executive level committees.
- A strategic mindset, with the ability to translate technical concepts into business-oriented strategies and action plans.

📌 Manager - AI Security (For a GCC Client) (Bengaluru)
🏢 Crystal Peak
📍 Bengaluru