Senior Cyber Security Engineer

Review Microsoft Purview and DLP policies to assess whether data protection controls are adequately implemented to handle risks related to AI agents.Review Microsoft Sentinel and Defender XDR detections and alerting related to AI usage and data access.Review current logging and monitoring capability related to internal agent usage.Support AI developers with secure design patterns, guardrails, and security best practices.Assess and implement guardrails to prevent AI agents from performing unauthorized actions or accessing unauthorized data.Assess and improve the security posture of AI-related Azure services and infrastructure.Review AI agent permissions, identities, tool access, and workflow security.Establish logging, monitoring, auditing, and alerting for AI agent activity where needed.Evaluate detection and response capabilities for AI-related threats and misuse.Report with overall evaluation, identified gaps and specific recommended actions.Review, testing and verification of established guardrails and detections mechanisms.

Azure securityMicrosoft PurviewData Loss Prevention (DLP)Microsoft 365 CopilotCopilot StudioAzure AI FoundryCloud security and identity securitySecurity monitoring and detection engineeringSecuring AI agents and agentic workflowsMicrosoft SentinelMicrosoft Defender XDRAI governance and AI security frameworksInfrastructure-as-Code securitySSDLC and DevSecOpsThreat modeling and adversarial testing of AI systems

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Permanent- or project employment with the best conditions.Access to the industry's most exciting job opportunitiesPersonal follow-up, mentoring and career guidanceA large variety of project opportunitiesGood pension- and insurance schemesA pleasant and positive work environmentAccess to both specific and general courses.

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