AI Security Personnel

Qualification & Experience

Mandatory

• Bachelor’s degree in Computer Science, Information Security, or a related field
  
• Scripting or automation skills (e.g., Python).
  
• Certifications such as CISSP, CCSP, Security+, or emerging AI/security credentials
  

Desirable

• Cloud security certifications (e.g., AWS Security Specialty, Azure Security Engineer)
  

• Identify, assess, and mitigate security risks across AI/ML pipelines, including data ingestion, model training, deployment, and inference.
  
• Implement controls to protect against AI-specific threats such as data poisoning, model theft, prompt injection, adversarial inputs, and model inversion.
  
• Support secure deployment of AI models in cloud, containerized, and API-based environments.
  
• Assist in securing third-party and open-source models, frameworks, and datasets.
  
• Contribute to AI security risk assessments, threat models, and control mappings.
  
• Support the development and enforcement of AI security standards, guardrails, and secure-by-design patterns.
  
• Align AI security practices with broader enterprise risk, privacy, and compliance requirements (e.g., ISO 27001, NIST, GDPR, emerging AI regulations).
  
• Participate in AI governance forums and provide security input to model approval and review processes.
  
• Help define logging, monitoring, and alerting requirements for AI systems.
  
• Support investigation and response to AI-related security incidents or misuse.
  
• Track vulnerabilities and emerging threats related to AI platforms and tooling.
  
• Work with data scientists and engineers to embed security into AI development workflows and CI/CD pipelines.