Hello and welcome to AI Today. Many enterprises are struggling to move beyond AI pilot projects into full-scale production. Danny Coleman, CEO of Chatterbox Labs, warns that right now “enterprise adoption is only like ten percent,” and without clear governance and security, companies simply won’t roll out AI at scale. Stuart Battersby, Chatterbox Labs CTO, adds, “what you have to do is not trust the rhetoric of either the model vendor or the guardrail vendor,” and instead embrace continuous, use-case-driven testing. Traditional cybersecurity teams often lack the expertise to secure AI’s unique attack surfaces, so organizations must layer in AI-specific tests. Coleman sums it up bluntly: “content safety filters, guardrails are not good enough.” The solution? Define what’s safe for each use case, automatically generate and run nefarious test scenarios, then iterate rapidly to validate both safety and cost. With this approach, companies can finally escape pilot hell and tap into AI’s four-trillion-dollar potential—securely and responsibly. Thanks for listening to AI Today.
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