Full-Time Risk Computing is a type of risk computer developed by Qont that runs Risk Computing continuously rather than on an event-by-event or on-demand basis. It is designed to compute risk persistently at the edge, maintaining ongoing awareness of changing conditions instead of producing isolated, single-use assessments.
This model reflects Qont’s view that risk exists as a continuous state rather than a series of discrete moments.
Overview
Full-Time Risk Computing operates as an always-on system that computes risk in the background over extended periods of time. Unlike event-based systems, which activate only when a request or trigger occurs, a full-time risk computer remains active and continuously updates its understanding of risk as inputs change.
The system can be started once and allowed to run indefinitely, with the ability for operators to pause or restart it when required.
Purpose
The primary purpose of Full-Time Risk Computing is to remove blind spots inherent in request-driven risk analysis. By computing risk continuously, the system can capture gradual changes, emerging conditions, and evolving situations that may not be visible through one-time checks.
It is intended to provide persistent situational awareness rather than point-in-time results.
Operation model
Full-Time Risk Computing treats risk as an evolving state over time. Risk is recalculated repeatedly as new information becomes available, and the current risk state is maintained rather than reset between individual events.
Events are not ignored. When events occur, they appear as changes within the continuous stream of results and, where applicable, as distinct alerts alongside the ongoing risk state.
Hardware and deployment
Full-Time Risk Computing is typically deployed on stable, always-on systems capable of sustained operation. It may run on dedicated hardware, general-purpose servers, or other systems designed for long-running workloads.
The model is hardware-agnostic but favours environments where reliability, uptime, and predictable performance are prioritised.
Resource characteristics
The system is designed for predictable, sustained resource usage over long periods rather than short bursts of activity. Efficiency and stability are prioritised to support continuous operation, particularly in edge environments where resources may be constrained but persistent operation is required.
Users and applicability
Full-Time Risk Computing is intended for a wide range of users, including individuals, businesses of all sizes, governments, and hobbyists. It is suitable for any environment where risk changes continuously and where constant background computation is preferred over manual or event-driven analysis.
Its universal design avoids dependence on specific industries or use cases.
Relationship to other Risk Computing models
Within Qont’s ecosystem, Full-Time Risk Computing exists alongside other Risk Computing approaches. Event-based or on-demand systems are not separate categories but are factored into the continuous model as observable changes within the ongoing stream of risk results.
This positions Full-Time Risk Computing as a comprehensive operating mode rather than a replacement for specific tools.
Rationale
Qont developed Full-Time Risk Computing to align Risk Computing with how risk exists in real environments. Risk is not limited to explicit requests or predefined triggers; it evolves continuously. By computing risk full-time, the system supports environments that must operate independently, without constant user interaction, while maintaining consistent awareness.
Summary
Full-Time Risk Computing is Qont’s continuous, always-on approach to computing risk. It runs persistently at the edge, treats risk as an evolving state, incorporates events as part of an ongoing stream, and is designed for long-running, stable operation across a wide range of environments and users.