Make the boundary testable.
Identify tools, permissions, data and autonomy. Define the organisation's risk tolerance and red lines. Decide how each material consequence will be observed.
RISKSTRIKER / PLATFORM IN DEVELOPMENT
What can the agent do when things go wrong?
We're building RiskStriker to test consequential AI agents in context, measure downstream impact and verify whether controls contain it.
THE METHOD
Context. Failure.
Consequence. Control.
The proposed assessment follows the complete system, from the agent's authority to the actions that reach downstream services.
Introduce a realistic failure.
Exercise cyber, operational and agentic scenarios in an authorised test environment. Separate attempted actions from realised impact.
Test the control change.
After customer remediation, restore the starting conditions and rerun the same scenario. Record what changed and what remains unresolved.
WORKED EXAMPLES
Follow a failure
all the way through.
A malicious document. A lost acknowledgement. A missing approval. Explore how each could turn into a consequential action, and which control to test.
Explore test scenarios ↗THE PLANNED OUTPUT
Tested Operating
Conditions.
A record of the configuration, autonomy and controls under which the assessed agent stayed within stated risk tolerance across the scenarios actually tested.
Independent control verification refers to the controls being assessed. It does not mean independence from Cybernetic Limited or accredited certification.
Inside the evidence pack ↗