Human stress analytics for cyber defence
The dominant attack vector in regulated industries is no longer an unpatched server — it is a tired, distracted, or socially pressured human. Yet the standard SOC stack still watches packets, processes and endpoints, and leaves the human out of the model entirely.
Cognitive-load signals (response latencies, command-pattern drift, anomalous approval cadence) are observable without invasive monitoring. Modelled correctly, they give a defender minutes of warning before a credentialled insider does something they will later regret, and they raise the bar for social-engineering campaigns that depend on out-of-hours pressure.
How JAQL applies this: StressTrace's Heimdall model treats the human as a first-class telemetry source alongside machine signals. The /research papers describe the cognitive-load features used and the indemnity considerations for deploying them in a regulated workplace.
Research references
Published by Jumpstart AI and Quantum Labs. Co-founders: Dr. Nupur Mukherjee (Chief Science Officer) and Kishan Sathyan (Chief GTM Officer). Research cited as SSRN preprints; JAQL technology is quantum-inspired and runs on classical infrastructure.