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An AI-based Cognitive Architecture for Augmenting Cybersecurity Analysts

Authors:
Salvatore Vella
Moussa Noun
Salah Sharieh
Alex Ferworn

Keywords: AI Agents; Cybersecurity; Automation.

Abstract:
We present a Generative AI-based cognitive architec- ture and an agent specifically developed for the complexities of Cybersecurity analysis. White-collar roles, exemplified by Cybersecurity analysts, are multifaceted and rely on declarative knowledge, procedural understanding, and diverse tools. The ability to learn and adapt to the nuances of the job is crucial. This paper introduces CorpIA, a cognitive architecture that provides an agent with knowledge, tools, and the capacity to acquire on- the-job experience. This system enhances human performance by providing suggested solutions and continuous mentoring. Our research demonstrates that the CorpIA agent can learn from interactions using Bloom’s Taxonomy. We provide the source code for these experiments.

Pages: 23 to 27

Copyright: Copyright (c) IARIA, 2024

Publication date: November 3, 2024

Published in: conference

ISSN: 2162-2116

ISBN: 978-1-68558-206-7

Location: Nice, France

Dates: from November 3, 2024 to November 7, 2024