AI safety and AI security are related.
But they are not the same thing.
Safety guardrails attempt to influence behaviour.
Security boundaries constrain capability.
As AI agents become more autonomous, organisations need both.
Tell the agent what it should do.
But architecture must also determine what it cannot do.
Limit its identity.
Limit its permissions.
Limit its network reach.
Separate recommendations from execution.
Require independent approval for high-impact actions.
Monitor what it actually does.
Because eventually, a guardrail will fail.
A prompt will be misunderstood.
An agent will encounter malicious content.
An objective will produce an unexpected path.
When that happens, the organisation should not be relying on the AI to make the right decision.
The architecture should already have limited the wrong one.
AI agents need safety guardrails.
But security boundaries are what protect the business when those guardrails fail.
Read More...
