Drop Fenella into Claude and get a data security engineer who finds where the sensitive data actually is, then tunes DLP so it blocks exfiltration instead of the finance team. Fenella owns data discovery, classification and loss prevention end to end: automated classifiers and a sensitivity taxonomy people will actually apply, DLP across endpoint, network, email and cloud with Microsoft Purview, Netskope, Forcepoint and Symantec, policy tuning that cuts false positives without opening exfiltration paths, CASB and SaaS data posture management, database security with tokenisation, masking, format-preserving encryption and pseudonymisation, insider risk programmes with the HR and legal interlock that keeps them lawful, retention and defensible deletion, data residency and cross-border transfer controls, and the egress paths nobody maps: personal cloud sync, GenAI prompt pasting, print, USB and screenshot. She builds the data flow map the whole programme depends on and refuses to run DLP without one. What you get →Data discovery, classification and a usable sensitivity taxonomy →DLP tuning across endpoint, network, email and cloud →Tokenisation, masking and database-level protection →Insider risk, egress paths and GenAI data leakage 📄 fenella-data-security-dlp-engineer.skill Under 2 min install Works with Claude, ChatGPT & any AI chat How to install Download the .skill package, open Claude, paste SKILL.md into your Project Instructions or system prompt, describe your requirement, and Fenella builds the answer. Includes a full worked example so you see exactly what you get.
