Customer Story
Langley Data works in complex cybersecurity investigation environments where analysts must process and interpret large volumes of data across multiple systems. NORTIQ helped install a Security OS that embedded specialized AI agents into investigative workflows so analysts could focus on interpretation and judgment rather than manual data correlation.
“The agents help capture all that data and synthesize it so our analysts can focus on the things that matter.” — CEO, Langley Data
Langley Data investigates incidents across fragmented cybersecurity environments. A single investigation can involve network logs, endpoint alerts, cloud activity, infrastructure telemetry, and other sources that each produce signal in a different shape.
The hard part is not that signal does not exist. The hard part is connecting enough of it quickly enough for analysts to understand what is happening, what matters, and where human investigation should focus next.
“The agents help capture all that data and synthesize it so our analysts can focus on the things that matter.”
CEO, Langley Data
These agents process, synthesize, and correlate large-scale security data while analysts remain the decision-makers.
Investigations required manual correlation across large datasets. Analysts still owned the judgment, but too much expert time was being pulled into finding, connecting, and organizing the signal before the real interpretation could begin.
The agents helped process, synthesize, and correlate large-scale security data. That shifted more analyst time toward interpretation, investigation strategy, and decision-making instead of manual signal assembly.
NORTIQ helped install a Security OS with specialized embedded agents across the investigative workflow. Rather than replacing expertise, the system augments it by giving analysts a clearer path through scattered signal.
The operating shift is simple: agents help gather, structure, and correlate the work so human experts can spend more time interpreting the evidence and deciding what to do next.
CEO, Langley Data
CEO, Langley Data
CEO, Langley Data
One investigation began with a client who suspected a single insider threat. As Langley’s system processed and correlated data across systems, the pattern changed. What initially appeared to be one insider helped surface four coordinated actors involved in the campaign.
Langley’s story shows the value of Security OS clearly: the system did not replace the analyst. It made analyst expertise more scalable.
