Home // International Journal On Advances in Security, volume 18, numbers 1 and 2, 2025 // View article

CorpIA: An Operational Framework for AI Agents Augmenting Knowledge Work

Authors:
Salvatore Vella
Moussa Noun
Salah Sharieh
Fatima Hussain
Alex Ferworn

Keywords: AI Agents; Cybersecurity; Automation

Abstract:
We present a Generative Artificial Intelligence (AI) based cognitive architecture and an agent specifically developed for the complexities of knowledge workers, such as Cybersecurity analysts. 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 en- hances human performance by providing suggested solutions and continuous mentoring. CorpIA includes a programming language for AI agents, ContentCreate, that allows non-programmers to create workflows involving AI agents. Our research demonstrates that the CorpIA agent can learn from interactions using Bloom’s Taxonomy. We provide the source code for these experiments.

Pages: 92 to 103

Copyright: Copyright (c) to authors, 2025. Used with permission.

Publication date: June 30, 2025

Published in: journal

ISSN: 1942-2636