Specialist – Cloud Security & AI Security
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Role Overview
Implement and operate cloud and AI security controls across Azure, Microsoft 365, hybrid environments, and approved AI/ML and agentic AI platforms, with a strong focus on secure AI deployment, testing, guardrails, identity, data protection, monitoring, and remediation.
Key Skills for This Role
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Job Purpose
Implement and operate cloud and AI security controls across Azure, Microsoft 365, hybrid environments, and approved AI/ML and agentic AI platforms, with a strong focus on secure AI deployment, testing, guardrails, identity, data protection, monitoring, and remediation.
Primary Responsibilities
- Implement and operate cloud and AI security controls across Azure, Microsoft 365, hybrid environments, and approved AI/ML and agentic AI platforms.
- Perform security reviews for Azure OpenAI, Azure AI Foundry/Services, Azure Machine Learning, Copilot Studio, and approved third-party AI platforms.
- Assess prompt injection, jailbreak, insecure output handling, excessive agency, tool abuse, data leakage, and AI supply-chain risks.
- Validate secure RAG, content-safety controls, human approval gates, logging, rate limits, and action boundaries.
- Maintain inventories of AI agents, owners, environments, permissions, connectors, data sources, and risk status.
- Operate CSPM/CNAPP and workload-protection controls using Microsoft Defender for Cloud or equivalent tools.
- Review managed identities, service principals, APIs, Key Vault, private endpoints, network isolation, and encryption controls.
- Support DevSecOps controls including IaC, dependency, secret, and container scanning.
- Investigate cloud and AI security alerts, preserve evidence, support containment, and track remediation.
- Maintain procedures, test cases, dashboards, and technical documentation.
Job Specifications
- 5+ years of cybersecurity experience, including hands-on cloud security experience and practical exposure to AI/ML, GenAI, or agentic AI security.
- Bachelor’s degree in Cybersecurity, Information Security, Computer Science, IT, Engineering, or an equivalent discipline.
- Preferred certifications: AZ-500, SC-100, AI-102, CCSP, CCSK, CISSP, CISM, AI/ML security, OWASP LLM, Kubernetes security, or DevSecOps training.
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