evidence review on policy simulation coverage gaps

Policy simulation tools are improving release confidence, yet current evidence shows persistent gaps around cross-policy interactions and rare edge sequences (NIST trustworthy ai).

see also: runtime policy simulators catch predeploy agent regressions · model governance now lives in release engineering

evidence stack

• Simulators cover common paths better than rare workflow chains.
• Interaction effects between policies are under-tested.
• Human override behavior is frequently missing from scenarios.

method boundary

Coverage quality depends on scenario diversity and continuous simulation dataset refresh.

my take

Simulation is essential, but its blind spots need first-class governance attention.

linkage

• [[runtime policy simulators catch predeploy agent regressions]]
• [[model governance now lives in release engineering]]
• [[evidence review on post deployment eval drift]]

ending questions

which policy interaction class most often escapes predeploy simulation?