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Improved the prompt injection filter to see through escape sequences
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@@ -53,6 +53,7 @@
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- Improved what the AI is told when it answers from your own documents (RAG): it now learns which page a passage came from, so it can name the page an answer rests on.
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- Improved what happens when you ask for web content to be cleaned up and no model is available for it. AI Studio loads the page and tells you it arrived uncleaned, instead of quietly handing you the raw page with its navigation and advertising still in it.
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- Improved the file name AI Studio suggests when you export an answer. Instead of always proposing "export", it now suggests the name of your chat or of the assistant you are working in. In the Document Analysis assistant, it suggests the name of the policy.
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- Improved the protection against prompt injection. It now also finds instructions disguised with the escape codes that formats like JSON and XML use, both in your own documents and in content from the web.
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- Changed what a tile that opens a chat directly starts with: when it uses a chat template that brings its own tools or data sources, that template decides them. The Assistant Builder says so while you build such a tile.
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- Changed which model a security check of an assistant plugin may fall back on. When you have set none aside for these checks, AI Studio uses the model you were working with, but only when that model meets the trust your organization requires for a check. One ruled out for that purpose no longer gets to read a plugin's code.
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- Changed how provider trust and provider confidence work together. Marking a provider as trustworthy in a configuration no longer also satisfies a required confidence level: one says who runs the provider, the other how confidential it is. Organizations raise a provider's level in their own confidence scheme instead. This applies beyond local data sources, for example, when a model reads a page from your intranet.
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