What if the enterprise AI model is backwards? In a new TFiR interview, Kamal Hathi explains why enterprises should bring AI to their data, not move sensitive data to AI. Hear Kamal’s perspective on agent observability, AI security, token economics, and building AI systems enterprises can control: https://splk.it/4eitIft
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Interesting perspective! Bringing AI closer to enterprise data could help organizations maintain better control while scaling AI adoption responsibly. 🚀
Bringing AI to enterprise data addresses an important security concern, but access alone doesn't make an agent trustworthy. Organisations also need to verify its actions and understand whether those actions are producing the intended outcome. That means measuring AI by both operational reliability and business value, not simply by what the model can access or how many tokens it consumes.