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Data Security & End-User Support for AI Tools
Client Type
IT and security teams
Challenge
New AI data-exposure risks
Impact
Proactive monitoring, consistent triage
Challenge
AI tools introduce new data-exposure vectors – prompt leakage, mis-shared content, cached sensitive data, agentic over-reach – that traditional IT security training does not address. Support teams also lack triage playbooks for AI-related tickets.
Approach
Scimitar delivers comprehensive sessions on data-exposure risks across major AI platforms, identity/tenancy/SharePoint permission interactions with AI features, categories of user misuse to watch for, IT-side guardrail design that preserves legitimate workflows, and triage patterns for AI-related support tickets – including hands-on review of anonymized real-world incidents.
Impact
IT and security teams established proactive monitoring practices and consistent AI ticket triage – reducing incident risk while accelerating safe enterprise adoption.
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