Independent research and practical guidance on AI governance, regulation, agents, security, auditing, data and emerging standards.
A structured explanation of the regulation, who it affects, its obligations and the implementation timeline.
How accountability, oversight and decision rights are distributed across an organization.
Why retrieved content is an untrusted input surface, and what controls actually contain it.
Treating an agent as a governed actor with credentials, scope limits and an approval boundary.
What evidence auditors ask for, and how to produce it without redesigning every system.
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