If you were trying to learn how to get other people to do what you want, you might use some of the techniques found in a book like Influence: The Power of Persuasion. Now, a pre-print study out of the ...
In Part 1, we established why LLMs are vulnerable: the attention mechanism treats all input tokens equally, with no architectural separation between trusted instructions and untrusted user data. Now ...
Pre-filled "Ask AI" links can save vendor domains as trusted sources, potentially biasing future answers without malware or ...
One governed path for every tool call, API request, agent interaction, and LLM prompt Enterprises have started to govern the tools and APIs that AI agents use, but many still leave a critical path ...