> Markdown version of [/jobs/ext/3027090-cyber-security-engineer](https://www.wearedevelopers.com/jobs/ext/3027090-cyber-security-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Cyber Security Engineer - **Company:** NES Fircroft Group Limited - **Location:** United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Microsoft Azure, Cloud Computing Security, Cyber Security, Information Leak Prevention, Data Security, Identity and Access Management, Intrusion Detection and Prevention, Data Logging, Office365, Software Security, Microsoft Sentinel, Virtual Agents, Dropbox, Devsecops - **Published:** September 22, 2026 - **Apply:** https://www.nesfircroft.com/job/senior-cyber-security-engineer-32169/#apply-form ## About the Role * Required: * Azure security * Microsoft Purview * Data Loss Prevention (DLP) * Microsoft 365 Copilot * Copilot Studio * Azure AI Foundry * Cloud security and identity security * Security monitoring and detection engineering * Securing AI agents and agentic work-flows * Preferred: * Microsoft Sentinel * Microsoft Defender XDR * AI governance and AI security frameworks * Infrastructure-as-Code security * SSDLC and DevSecOps * Threat modelling and adversarial testing of AI systems ## Description * 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 unauthorised actions or accessing unauthorised data. * Assess and improve the security posture of AI-related Azure services and infrastructure. * Review AI agent permissions, identities, tool access, and work-flow 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.