Transforming cybersecurity with agentic AI to combat emerging cyber threats

This paper investigates the transformative potential of agentic AI in cybersecurity, specifically addressing how it can enhance practices in response to emerging threats. It aims to explore how agentic AI can transform cybersecurity practices, particularly in addressing new and evolving threats, while also examining the cybersecurity risks associated with its integration. The research explores the possibilities for agentic AI to automate critical tasks within Security Operations Centers (SOCs), such as decision-making, incident response, and threat detection. It also emphasizes the risks associated with AI integration, including the introduction of new vulnerabilities and challenges in managing automated systems, which call for a reassessment of existing cybersecurity frameworks to effectively address these risks. • This paper investigates the transformative potential of agentic AI in cybersecurity. • Agentic AI automates critical tasks within Security Operations Centers (SOCs). • There are risks associated with agentic AI integration. • There is a need to reassess existing cybersecurity frameworks to effectively address risks associated with agentic AI.

Authors

Institutions

Publication Details

Journal
Telecommunications Policy
Published
2025-04-22
DOI
https://doi.org/10.1016/j.telpol.2025.102976
Citations
27
Primary Topic
Blockchain Technology Applications and Security
Type
article
Field-Weighted Citation Impact
87.65
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Transforming cybersecurity with agentic AI to combat emerging cyber threats

Nir Kshetri
27 citations
Telecommunications Policy
Blockchain Technology Applications and Security
87.65
article

Transforming cybersecurity with agentic AI to combat emerging cyber threats

Nir Kshetri
article en
27 citations

Abstract

This paper investigates the transformative potential of agentic AI in cybersecurity, specifically addressing how it can enhance practices in response to emerging threats. It aims to explore how agentic AI can transform cybersecurity practices, particularly in addressing new and evolving threats, while also examining the cybersecurity risks associated with its integration. The research explores the possibilities for agentic AI to automate critical tasks within Security Operations Centers (SOCs), such as decision-making, incident response, and threat detection. It also emphasizes the risks associated with AI integration, including the introduction of new vulnerabilities and challenges in managing automated systems, which call for a reassessment of existing cybersecurity frameworks to effectively address these risks. • This paper investigates the transformative potential of agentic AI in cybersecurity. • Agentic AI automates critical tasks within Security Operations Centers (SOCs). • There are risks associated with agentic AI integration. • There is a need to reassess existing cybersecurity frameworks to effectively address risks associated with agentic AI.

Telecommunications PolicyVol. 49(6)
University of North Carolina at Greensboro (US)
Openalex Percentile: Top 0%
Blockchain Technology Applications and Security
87.65
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.