The article warns that organizations are repeating cybersecurity’s historic mistakes with AI by treating quality assurance as an afterthought. Traditional software testing fails to catch many AI issues because AI systems behave unpredictably and can produce different results each time. Effective AI testing requires diverse human testers, specialized red teaming to identify behavioral flaws, and ongoing monitoring to detect new biases and failures as AI systems and societal contexts evolve. Relying solely on automated tools or conventional testing leaves organizations vulnerable to costly, sometimes silent AI failures that undermine trust and can have more severe consequences than past security breaches.
https://thenewstack.io/were-repeating-cybersecuritys-big-mistake-this-time-with-ai/