UNUM LLM Attack Story & Detection Engineering

Canonical copy

AI Security / Detection Engineering Consultant UNUM Delivered a two-month consulting engagement for UNUM that used LLM-assisted attack-tree and attack-story generation, MITRE ATT&CK mapping, ServiceNow asset inventory, data-center and campus architecture context, CISO risk framing, Zero Trust tagging, synthetic log generation, and Splunk SPL detection engineering to create realistic enterprise attack scenarios and testable detection logic. Two-month paid consulting engagement.

Public-safe caveat

Based on user-provided project context. Intentionally omits sensitive UNUM architecture, ServiceNow asset details, specific services, internal systems, SPL queries, synthetic log schemas, control mappings, and private deliverables.