Solving AI data leakage by sending sensitive data to another cloud for analysis

<!-- SC_OFF --><div class="md"><p>Hey everyone,</p> <p>I’m Aiden, a CS student at Trinity College, and I’ve been researching the intersection of AI and cybersecurity..

<!-- SC_OFF --><div class="md"><p>I feel like most AI discussions are about jobs, productivity, creativity, etc. But one angle I don’t see talked about enough is privacy

The first wave of enterprise AI concern was straightforward. It was simply employees pasting sensitive data into public AI tools. Security teams responded with usage policies,

<!-- SC_OFF --><div class="md"><p>A noticeable trend is happening: more users are moving away from heavily aligned cloud models (like ChatGPT, Claude, Gemini) toward local or

<!-- SC_OFF --><div class="md"><p>I know that this goes against the philosophy of the sub but I thought people here have the right expertise. So: Is there a way to encrypt models

<!-- SC_OFF --><div class="md"><p><a

<!-- SC_OFF --><div class="md"><p>Just went through a Stanford paper that tracked 51 actual AI deployments - not surveys or sentiment polls, real production systems across 41

<!-- SC_OFF --><div class="md"><p>BlackRock is basically arguing that AI could become a real driver for the next phase of crypto growth</p> <p>Not through meme tokens, but through