Approval boundaries
Confirm that controlled actions remain blocked until the required mocked approval is present.
Pre-release control verification
Test AI agent guardrails before a workflow crosses the boundary.
A policy can be correctly configured while the workflow bypasses approval, calls a forbidden tool, exceeds an action limit, or continues after missing evidence. Konsista exercises the declared boundary along the action path before release.
A configured guardrail is not proof that the workflow obeys it.
Guardrail verification must show what happened when the agent reached the controlled action: what was blocked, what was allowed, which target was used, and whether the stop condition actually stopped execution.
Tool allowlists
Detect forbidden tools and required tools that disappear after a prompt, model, or connector change.
Target restrictions
Track IDs, recipients, accounts, destinations, and amounts that must match the declared evidence.
Action limits
Verify maximum counts for sends, writes, charges, refunds, bookings, submissions, and deletes.
Stop conditions
Show whether a failed lookup, rejected approval, or missing field stops the controlled action.
Regression behavior
Compare baseline and candidate runs so a previously held boundary cannot drift silently.
Translate each guardrail into observable procedure checks.
A useful test names the action, the control, and the evidence that proves the control was exercised.
- Choose one risky workflow and replace real side effects with mocks.
- Declare required and forbidden tools, sequence, limits, and critical values.
- Define stop conditions for missing evidence or rejected approval.
- Repeat the same scenario against baseline and candidate configurations.
- Review the observed calls, arguments, findings, and coverage boundary.
Declared action boundary
approval requireddeclared
approval observed before action2/6
forbidden tool calls0
real side effects0
Konsista is not a runtime guardrail product.
Konsista does not intercept production traffic or enforce permissions. It provides pre-release evidence that a declared action procedure held or failed in a specific mocked scenario. Runtime authorization, policy engines, monitoring, and incident response remain separate production controls.
Related AI agent testing guides
Test the boundary your release depends on.
Send the risky action, the declared guardrail, and the condition that must stop execution. The first run uses synthetic records and mocked tools.
Test one action boundary