AI is not a standard SaaS tool. With agentic systems, the security model breaks even faster. Traditional incidents assume clear ownership, clear boundaries, and clear responsibility. AI incidents don't. Who owns the data used during inference? Who controls the outputs? Who is accountable when models collaborate across teams or organizations? Confidentiality becomes the core challenge, and not performance. And governance becomes a new discipline entirely. Clients don't want promises. They want assurance that their data stays protected during execution. That's the difference between running AI, and running AI responsibly. Watch the full podcast. Link in the comments.