Responsibilities

Review and enhance data protection controls for AI agents, including Microsoft Purview and DLP policies.
Assess and improve detections and alerting related to AI usage, leveraging tools like Microsoft Sentinel and Defender XDR.
Support AI developers by providing secure design patterns, best practices, and security guidance.
Implement and test guardrails to prevent unauthorized AI agent actions and data access.
Improve the security posture of AI-related cloud services and infrastructure in Azure.
Review and secure AI agent permissions, identities, tool access, and workflows.
Establish and enhance logging, monitoring, auditing, and alerting for AI agent activities.
Evaluate and strengthen detection and response capabilities for AI-related threats and misuse.

Required expertise

Extensive experience in Azure security, cloud security, and identity security.
Deep technical expertise in securing AI platforms, AI agents, and agentic workflows.
Proficiency with Microsoft's AI ecosystem, including Microsoft 365 Copilot, Copilot Studio, and Azure AI Foundry.
Strong skills in security monitoring, detection engineering, and data protection (DLP).
Experience with Microsoft Sentinel, Microsoft Defender XDR, and Microsoft Purview.
Familiarity with AI governance, AI security frameworks, and threat modeling for AI systems.
Knowledge of Infrastructure-as-Code (IaC) security, SSDLC, and DevSecOps principles.

Language: English

Location: Bærum

Work arrangement: Full-time

Duration: Temporary assignment from October 12, 2026, to December 19, 2026 with possibility for extension

Responsibilities

Review and enhance data protection controls for AI agents, including Microsoft Purview and DLP policies.
Assess and improve detections and alerting related to AI usage, leveraging tools like Microsoft Sentinel and Defender XDR.
Support AI developers by providing secure design patterns, best practices, and security guidance.
Implement and test guardrails to prevent unauthorized AI agent actions and data access.
Improve the security posture of AI-related cloud services and infrastructure in Azure.
Review and secure AI agent permissions, identities, tool access, and workflows.
Establish and enhance logging, monitoring, auditing, and alerting for AI agent activities.
Evaluate and strengthen detection and response capabilities for AI-related threats and misuse.

Required expertise

Extensive experience in Azure security, cloud security, and identity security.
Deep technical expertise in securing AI platforms, AI agents, and agentic workflows.
Proficiency with Microsoft's AI ecosystem, including Microsoft 365 Copilot, Copilot Studio, and Azure AI Foundry.
Strong skills in security monitoring, detection engineering, and data protection (DLP).
Experience with Microsoft Sentinel, Microsoft Defender XDR, and Microsoft Purview.
Familiarity with AI governance, AI security frameworks, and threat modeling for AI systems.
Knowledge of Infrastructure-as-Code (IaC) security, SSDLC, and DevSecOps principles.

Language: English

Location: Bærum

Work arrangement: Full-time

Duration: Temporary assignment from October 12, 2026, to December 19, 2026 with possibility for extension

Senior Cyber Security Engineer