+Intertrace Insights
Shadow AI and data
The AI already in use, where prompts travel, and policies people will actually follow.
- Pieces
- 57
- Threat research
- 16
- Updated
- Oct 20, 2026
5 pieces · newest first
Guide10 min read
Seen is not protected: six coverage states between discovery and enforcement
Read-only discovery produces a long list of AI assets and nothing gets safer. Six beliefs that keep the list from turning into protection, what is true instead, and the evidence each coverage state needs, from seen to verified protected.
Intertrace
Guide8 min read
Shadow AI: your team already uses it, and a ban will not change that
Banning unapproved AI tools mostly moves their use out of sight. Five myths about shadow AI, from the chat tab to connected apps and unattended agents, and what to do instead: discover, decide tool by tool, and offer a faster sanctioned path.
Intertrace
Guide9 min read
Data residency for LLM traffic: where prompts go and how to keep them there
An in-region model endpoint settles one copy of a prompt out of six or more. Following one fictional EU insurer's claims assistant: map every copy, read provider regional terms down to the exclusions, and route by data class.
Intertrace
Guide10 min read
Due diligence for the AI features already inside your SaaS
The assistant your CRM, docs or helpdesk switched on last quarter is a new data path from a vendor you approved years ago. Six checks, with reasons and tests, from data path and training use to injection, logs and contract terms.
Intertrace
Guide9 min read
An AI acceptable-use policy people will actually follow
AI policies fail when they list tools instead of data, prohibit without a route to yes, and contain clauses nothing checks. Six beliefs behind those failures, and the replacements: three lanes, one owner, expiring exceptions and evidence for every clause.
Intertrace
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