Tag: data-privacy
Claude inference hooks cannot see a screenshot
Anthropic now lets an Enterprise organisation put its own server in front of every prompt and return allow or deny before the model runs. It is the strongest inline control Claude has shipped. It also never receives raw image bytes, so a screenshot of the document you are trying to stop walks straight through, and the failure mode when your server goes down is a setting somebody has to choose.
How to run Claude in compliance-heavy environments
Running Claude on regulated data is a solved problem in 2026 if you pick the right deployment surface and match it with the right contractual paper. Three architecture patterns cover HIPAA, SOC 2, GDPR, FINRA, FedRAMP, and ITAR. Most compliance objections are fixable, and the real leak paths are almost never the model.
Shadow AI is not a policy problem. It is a supply problem.
Banning unauthorized AI tools does not work. BlackFog research shows 60% of employees use unsanctioned AI tools anyway, outside your security perimeter. Companies actually preventing shadow AI are doing it by making approved tools faster to access, not by writing stricter policies nobody reads.