u/Awkward_Archer8410

I’ve been looking into memory forensics workflows and one thing that stands out is how much effort goes into correlating outputs across different artifacts.

Even with tools like Volatility, you still end up stitching together:

- process anomalies

- kernel-level findings

- network activity

to understand what actually happened.

In many cases, this seems to depend heavily on individual experience, and doesn’t scale very well across teams.

Are teams building internal tooling for this, or relying on case-by-case analysis and scripts?