Insider threat is the rare cybersecurity program that is simultaneously mandated and misunderstood. Executive Order 13587 and the National Insider Threat Task Force (NITTF) minimum standards require it for anyone operating on classified networks. Yet many organizations buy a user-activity-monitoring tool, point it at their logs, and declare victory — then wonder why it produces noise instead of insight.
A tool is not a program
User Activity Monitoring (UAM) is table stakes. A program is the people, the workflow, and the judgment around it: a defined hub that triages indicators, an analytic process that separates the anomalous from the suspicious, and a legal and HR framework that turns a finding into a defensible action. Buy the tool without the program and you have a very expensive log collector.
The hard part is signal, not collection
The insider problem is a needle-in-needles problem. A privileged user moving data is usually doing their job; occasionally they are not. Telling the two apart takes behavioral baselining, context — role, project, timing, access history — and correlation across sources, not a single rule that fires on every large file transfer. Tuned poorly, an insider program drowns analysts in false positives until they stop looking. Tuned well, it surfaces the handful of behaviors that actually warrant a look.
Keep a human in the loop
Analytics narrow the field; they do not render judgment. The most defensible insider programs put a trained analyst — supported by data, not replaced by it — at the decision point, with a documented chain from indicator to inquiry. That is what holds up when a case becomes real.
It comes back to the data
Every insider program lives or dies on the quality of the data feeding it. Incomplete identity correlation, gaps in coverage, and noisy feeds create blind spots an adversary — or a careless employee — slips through. Get the data right and the analytics get easy; get it wrong and no tool will save you.
NexThreat builds and operates insider-threat capability aligned to EO 13587 and NITTF standards, on classified and unclassified networks. If your program is generating noise instead of answers, the fix usually starts with the data.
