Risk management must become continuous
Module · Risk and Controls
Control estates grow every year and the testing hours grow with them, while the share of controls actually automated has gone backwards.
Prophesee Risk holds one obligation and control graph, tests continuously against live system data, and reports to the board from the same source.
The testing bill keeps rising. Automation keeps falling.
Control estates grow every year and the testing hours grow with them, while the share of controls actually automated has gone backwards. The problem is not effort. It is that the same control is tested once per framework.
Sources: KPMG 2025 SOX Survey (FY24 data) · Swimlane and Sapio Research, 2025 (n=500) · Hyperproof 2026 IT Risk and Compliance Benchmark (n=1,002) · NC State ERM Initiative and AICPA, 2025 State of Risk Oversight (n=273).
A control environment that watches itself
Archer holds the control. The evidence is chased by email, screenshot by screenshot, and 92% of large enterprises use three or more tools just to gather it.
Regulation to obligation to risk to control to evidence, held once. One encryption control can satisfy GDPR Article 32, NIS2 and DORA at the same time and be shown doing it.
Role and access combinations that breach segregation of duties change weekly and are checked annually.
Controls tested against live system data on a schedule you set, with breaches raised as alerts rather than discovered at the next assessment.
Nothing predicts which control fails next, so testing effort rises 32% while coverage stays flat.
Failure likelihood modelled by control, process and entity so remediation goes where the next finding will actually be.
Remediation is ordered by when the finding was raised rather than by modelled effect on residual risk.
Scenario the effect of a remediation programme, a new framework or an acquisition, and generate the board pack from the same live source.
Turning controls into continuous intelligence
GRC tools hold the control. The evidence is chased by email, screenshot by screenshot, and 92% of large enterprises use three or more tools just to gather it.
The control-to-framework map lives in a spreadsheet, so the same control is tested separately for every framework it satisfies.
Role and access combinations that breach segregation of duties change weekly and are checked annually.
Nothing predicts which control fails next, so testing effort rises 32% while coverage stays flat.
Remediation is ordered by when the finding was raised rather than by modelled effect on residual risk.
13 AI applications that could be relevant
A sample of what becomes possible on the decision layer, not a fixed list: each application draws on the same data foundation and audit trail, and new ones are configured on the engines, not built from scratch.
One encryption control can satisfy GDPR Article 32, NIS2 and DORA at the same time and be shown doing it.
New obligations matched to controls you already run, with the real gaps named.
One test result satisfies every framework the control is mapped to.
Plain language questions on controls, obligations and evidence, answered from the graph.
Controls tested against live system data on the schedule you set.
Access logs, training records and configuration states pulled and attached on schedule.
Role and access combinations that breach a rule raise a scored alert to an owner.
Failure likelihood by control, process and entity, ahead of the next test cycle.
Controls heading for period close without complete evidence, named early.
Signals in one compliance domain that lead failures in another, surfaced early.
Remediation ordered by modelled effect on residual risk, not by finding date.
Model a new framework or an acquisition before you commit the testing budget.
The board view generated from the same data the controls are tested against.
A day in a continuously monitored organisation
Today: The same control tested separately for every framework it touches.
The encryption control tested once, evidenced against GDPR Article 32, NIS2 and DORA at the same time.
Today: Evidence chased by email, screenshot by screenshot.
Access logs, training records and configuration states pulled on schedule and attached to the control.
Today: Remediation goes wherever the last finding was.
Control failure likelihood scored by process and entity, so remediation goes where the finding will be.
Today: The board pack is a quarter old before it is read.
Current rather than quarterly, generated from the same data the controls are tested against.
Effective risk management depends on continuous visibility.
Test continuously, report from source
We agree the metric and the baseline in week one, and measure the result on your data.