• Design and implement comprehensive AI security architecture, including governance frameworks, data protection controls, model security standards, and usage policies for enterprise AI systems • Collaborate with the AI business deployment team to establish security requirements and controls for AI applications, ensuring alignment between business objectives and security standards • Develop and enforce AI usage policies and security guardrails for employees, including guidelines for acceptable use of generative AI tools, prompt engineering security, and data sharing restrictions • Establish security standards and best practices for AI/ML development teams, covering model training security, data pipeline protection, API security, and secure model deployment • Conduct AI-specific threat modeling and risk assessments, identifying vulnerabilities such as prompt injection, data poisoning, model theft, adversarial attacks, and privacy leakage • Define data classification and handling requirements for AI systems, ensuring sensitive customer information and personally identifiable information are appropriately protected in training datasets and model outputs • Evaluate and recommend AI security tools and technologies, including data loss prevention for AI interactions, AI gateway solutions, model monitoring platforms, and security testing frameworks • Partner with compliance and legal teams to ensure AI implementations meet regulatory requirements including insurance industry regulations, data privacy laws, and emerging AI-specific legislation • Create security awareness training programs focused on AI risks, responsible AI usage, and secure development practices for different user personas across the organization • Develop incident response procedures specific to AI security events, including model compromise, data leakage, and unauthorized AI tool usage • Monitor the evolving AI security landscape and provide strategic guidance on emerging threats, vulnerabilities, and security best practices • Establish metrics and reporting frameworks to measure AI security posture and communicate risk to executive leadership