5 of 5 Remote/Hybrid Data Loss Prevention Jobs in Hertfordshire

will not look like today's. As AI adoption accelerates, organisations face novel architectural challenges, ranging from model manipulation and prompt injection to sensitive data egress and supply chain vulnerabilities. Success requires embedding security directly into the AI development lifecycle, ensuring systems are resilient, compliant, and secure by design. … integration. Data Protection & Egress Control: Deep awareness of data privacy challenges unique to AI, including data loss prevention (DLP), data leakage through model outputs, training data poisoning, and preventing unauthorised data egress in regulated environments. Threat Landscape Awareness: Familiarity with AI-specific ...

latency and operational overhead. The tool categories to cover include AI security posture management, LLM guardrails and firewalls, model and supply-chain scanning, GenAI data loss prevention, and AI-enabled SOC tooling. They should also own the deployment itself: integration with existing SIEM, SOAR, EDR and identity … producing value after go-live rather than becoming shelfware. Input to vendor risk assessments fits here too, particularly on how vendors handle your data in their own models. Understanding the AI threat landscape They need a working knowledge of AI-specific attack techniques and should be fluent ...

controls and working practices. Key Activities: Monitor and investigate security alerts across SIEM, EDR/XDR, email security, cloud platforms, identity, network security and data loss prevention tooling. Triage security events, determine scope and impact, coordinate containment and remediation, and maintain clear investigation records and evidence. Perform ...

loops. You will work with the AI Portfolio Manager, AI Enablement & Adoption Lead, AI Solutions Lead, Technology teams, Microsoft partners, L&D, Communications, Security, Data Governance, and business sponsors to drive safe, measurable adoption of Copilot. You will help define personas, prioritise cohorts, build champions, capture use cases, monitor … supporting phased rollout to large user populations Experience measuring productivity benefits, time saved, quality improvement, or user satisfaction Familiarity with Microsoft Purview, sensitivity labels, DLP, retention, and information protection Experience in infrastructure services, utilities, transport, telecoms, water, or field operations Familiarity with service adoption, ITIL, or change frameworks ...

loops. You will work with the AI Portfolio Manager, AI Enablement & Adoption Lead, AI Solutions Lead, Technology teams, Microsoft partners, L&D, Communications, Security, Data Governance, and business sponsors to drive safe, measurable adoption of Copilot. You will help define personas, prioritise cohorts, build champions, capture use cases, monitor … supporting phased rollout to large user populations Experience measuring productivity benefits, time saved, quality improvement, or user satisfaction Familiarity with Microsoft Purview, sensitivity labels, DLP, retention, and information protection Experience in infrastructure services, utilities, transport, telecoms, water, or field operations Familiarity with service adoption, ITIL, or change frameworks Please note ...