As AI agents become capable of executing real actions,
policy enforcement before execution seems increasingly important.
Many agent systems focus on:
- orchestration
- tooling
- execution
But production systems usually also require:
- policy enforcement
- auditability
- verifiable evidence
Curious how xpander.ai approaches this problem.
Is there a mechanism for evaluating policies or permissions
before an agent executes an action?
I've been experimenting with a simple governance model:
Intent → Policy → Decision → Evidence → Execution
Experiment repo:
https://github.com/xsa520/guardian
As AI agents become capable of executing real actions,
policy enforcement before execution seems increasingly important.
Many agent systems focus on:
But production systems usually also require:
Curious how xpander.ai approaches this problem.
Is there a mechanism for evaluating policies or permissions
before an agent executes an action?
I've been experimenting with a simple governance model:
Intent → Policy → Decision → Evidence → Execution
Experiment repo:
https://github.com/xsa520/guardian