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INSIGHTS
Clear thinking about risk.
Practical perspectives on data flows, AI governance and risk priorities.
Start with the data flow
A policy becomes more useful when it reflects where information actually moves. Identify what you collect, where it is stored, who can access it and where it is shared. Use that view to focus your next review.
Make AI ownership explicit
Before an AI tool becomes part of everyday work, identify who owns the decision to use it. Record its purpose, the information it handles and the review it needs. Clear responsibility gives governance a practical starting point.
Rank risk in business terms
A long list of findings is only a starting point. Consider likelihood and impact alongside your organization’s priorities. Make the reasoning behind remediation decisions clear enough for leaders to revisit.
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