Extract from HaystackID’s article “Considering Cyber Discovery? A Strategic Framework from HaystackID™”
Editor’s Note: Developed based on the European Union Agency for Cybersecurity (ENISA) framework for artificial intelligence lifecycle stages and modified through the lens of the Electronic Discovery Reference Model (EDRM), the HaystackID Cyber Discovery Framework defines, depicts, and discusses a strategic framework that may be useful for understanding and applying the discipline of data and legal discovery in support of cybersecurity-centric challenges.
Cyber, data, and legal discovery experts contributing to model design include:
- Michael Sarlo, EnCE, CBE, CCLO, RCA, CCPA – Michael is the Chief Innovation Officer and President of Global Investigation Services for HaystackID.
- John Brewer – As Chief Data Scientist, John serves as the Head of Advanced Technology Services for HaystackID.
- Anya Korolyov, Esq. – As Director of Expert Solutions with HaystackID, Anya has 12 years of experience in eDiscovery with extensive expertise with complex matters ranging from Second Requests to cyber discovery.
A Strategic Cyber Discovery Framework from HaystackID™
Provided for your review and use is a non-comprehensive overview of definitions, depictions (graphical), and descriptions that may be helpful in considering the conduct of cyber discovery. The presented overview* represents a framework based on high-level artificial intelligence lifecycle stages as developed by the European Union Agency for Cybersecurity (ENISA)1 modified through the lens of traditional eDiscovery planning and practices grounded within the Electronic Discovery Reference Model (EDRM)2. The modification attempts to combine computer-centric artificial intelligence and machine learning models with data and legal discovery developed protocols and tools to provide a high-level generic reference model for considering cyber discovery stages and tasks.
