Rule-driven guardrails around Ai execution:
Why it matters:
Ai cannot operate freely in regulated environments. These mechanisms ensure Ai actions are policy-bound, not probabilistic.
Immutable logs tracing every Ai action:
Why it matters:
Enterprise must explain and justify decisions. These mechanisms enable regulatory audit, internal review, and legal defensibility.
RBACs for Ai Co-workers:
Why it matters:
Ai Co-workers must not have universal authority.
These mechanisms control the Co-worker's identity and access framework.
Ensure Ai operates within defined autonomy thresholds :
Why it matters:
These mechanisms ensure Ai scales safely, not independently beyond oversight .
Ensure Ai Co-workers operate strictly within approved data environments and segmentation controls:
Why it matters:
These mechanisms enforce security at the data layer, not just the network perimeter.
Monitors Ai Co-workers behaviour in real time:
Why it matters:
These mechanisms transform governance from static rule enforcement, to active operational oversight.
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