COREII
Description
Support decision making for critical infrastructure OT cybersecurity operations. Provides a secure environment where senstive data can be ingested and retreived reliably. Reduces the time it takes to perform threat analysis, supply chain analysis, kn
Detailed example
Distillation of research results and findings into pratical decision making information.
AI / analytics pattern
Generative AI: AI that generates new or synthetic content (e.g., images, videos, audio, text, code).
Automation level / stage
b) Pilot – The use case has been deployed in a limited test or pilot capacity.
Expected benefit
Making information and knowledge easier to retreive and digest. Signficantly improves analysis time. Maximizes the transfer of knowledge to users of various backgrounds. Translates complex and complicated research results into accessible practical solutions.
Audit / financial statement impact
This AI system leverages Retreival Augmented Generation (RAG) enabled Generative AI over large corpuses of OT/ICS cybersecurity data and information to support decision making within critical infrastructure operations.
Controls / human review
ATO: No; PIA: Not published
Data needed
The Large Language Model is a pretrained open source model but the Retreival Augemented Generation (RAG) engine retreives from the entire OSTI.gov corpus, Known Exploited Vulnerabilty (KEV) dataset, CyOTE Precursor Analysis Reports, CyOTE Observable Dataset, entire Energy Information Agency EIA.gov dataset, all CISA OT Advisories, and ARC Web Market Analysis Studies (Proprietary). This was a sample of the data that can be added to by future users.