According to Chatterbox Labs' CEO Danny Coleman and CTO Stuart Battersby, the slow transition of AI from pilot tests to full-scale deployment in enterprises hinges on security concerns. With only 10 percent of enterprise adoption today, they emphasize the need for a rigorous security testing regime tailored to AI's unique challenges. Companies are hesitant to invest in AI without assurances of governance and safety, as traditional infosec teams may not fully understand AI's complexities. Constant testing is essential to address these barriers and unlock AI's potential in workplaces.
Enterprise adoption is only like 10 percent today... How are you actually ever going to move that along if you keep releasing things that people don't know are safe to use?
People in the enterprise, they're not quite ready for that technology without it being governed and secure.
Leaders want to increase AI investments and accelerate development, but they wrestle with how to make AI safe in the workplace.
What you have to do is not trust the rhetoric of either the model vendor or the guardrail vendor because everyone will tell you it's super safe and secure.
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