Why AI Confidence Is Not Validation

AI tools are being used in digital forensics and incident response, even without governing policies. These tools are becoming increasingly confident in their output, but practitioners are struggling to keep up with reliable methods to verify the results. The lack of governance models and validation standards is creating a gap that can have broader implications beyond individual workstations. This gap can lead to uncontained issues, highlighting the need for better validation processes. The use of AI in these fields is growing, but the ability to trust its output is not keeping pace. As a result, the absence of effective validation mechanisms poses a significant challenge.