When AI Gets It Wrong, It Costs Millions

In 2024, Air Canada’s chatbot hallucinated a refund policy—and a judge ruled it legally binding. What looked like a minor UX flaw became a major legal liability.

As GenAI scales across industries, many leaders still treat content quality as a UI issue, not a systemic risk. But untested outputs can now trigger lawsuits, reputational damage, or regulatory penalties.

Damien KOPP, Fractional CTO at MISSION+, lays out a cybersecurity-inspired approach to GenAI content testing. From hallucination risks to prompt injection attacks, he identifies 14 content safety categories every enterprise must monitor—and the tools to do it.

If your AI talks to customers, it speaks for your brand. This article is a blueprint for how to test before you trust. Don’t wait for a PR crisis to build your guardrails.

Read the full article on GenAI Safety: Why AI Generated Content Testing Is a C-Suite Imperative