Digital forensics pulls techniques from computer science, law enforcement, and law. What unique challenges exist when blending these different fields? How does digital forensics differ in the corporate world versus criminal investigations?

Preserving digital evidence is the cornerstone of digital forensics. What is required to ensure data remains authentic, unaltered, and usable? Other important considerations are chain$-$of$-$custody and being able to defend methodologies. With this in mind, how can technology aid preservation through hashing, encryption, or immutable storage while at the same time maintaining business functions?

What metadata should be logged alongside preserved files to prove authenticity if presented as evidence in court? How could practices like data hashing address trust and transparency in big data cataloging?