People keep using the word "trust" without saying what they mean. When a bank asks whether they can trust an AI system, they are not asking one question. They are asking at least five. - Can I trust how the AI handles our customers' data? - Can I trust that the AI can explain why it made a decision? - Can I trust that the AI operates within proper governance frameworks? - Can I trust that a human will step in when the AI is uncertain? - Can I trust that the AI follows our compliance obligations? Each one of those is a different problem with a different answer. You can have an AI that is completely secure from a data standpoint but has zero explainability built in. You can have an AI that is technically compliant but has no real governance framework around it. Trust in agentic AI is a stack, not a switch. The components: information security, explainability, governance, compliance, AI ethics, human oversight, and audit trails. Every one of them matters. We will go through each one in this series. --> Follow this page and save this post. We are breaking down each pillar over the next 1 week. #TheTrustSeries#