Digital forensics and incident response teams are already using AI tools, whether or not their organizations have formal policies in place. According to The Hacker News, these tools are not hypothetical or experimental; they are part of everyday practice.
The problem is that AI confidence is not the same as reliability. Models are increasingly assertive in presenting results, but the techniques needed to verify those results are not maturing at the same pace. That leaves investigators in a position where they may trust confident output without adequate proof.
The article stresses that confidence is not validation. Until verification methods catch up, AI should be treated as a starting point for analysis, not as a definitive answer in security work.