EmbeddingGemma 2: an open, lightweight multimodal embedding model
deepmind.google·6d ago
AI Engineering
Lobsters·Sep 10·5 min read
Lobsters·Sep 10·5 min readKnowledge Retention & Sharing in DF/IR
TL;DR
A recent discussion highlighted the need for better knowledge retention and sharing in Digital Forensics and Incident Response (DF/IR). The lack of comprehensive training and internal resources hampers the growth of junior analysts in the field.
✦ Why It Matters
Establish a knowledge-sharing system within your team to support junior analysts today.
Key Takeaways
- Document investigative processes to build a knowledge repository.
- Automate repetitive tasks to improve efficiency in investigations.
- Encourage team members to share lessons learned regularly.
- Focus on the 'why' behind actions taken during investigations.
Full Summary
In the early days of digital forensics and incident response (DF/IR), training focused primarily on tool usage without addressing the underlying principles or investigative processes. As professionals like the author navigated their careers, they recognized a significant lack of shared knowledge and documentation within teams.
To combat this, they developed condition files and automated scripts to standardize investigations, particularly for PCI forensic cases. This included creating an EnScript to validate various credit card types, which was shared with the team along with a tutorial on its necessity.
Despite these efforts, the industry still struggles with effectively capturing and operationalizing knowledge, often relying on individual expertise rather than collective learning. The ongoing challenge is to ensure that lessons learned are documented and shared to improve future investigations.