Proactive Cyber Defense: AI in Supply Chain Risk Management

Proactive cyber defense, particularly through the integration of AI in supply chain risk management, represents a critical evolution in cybersecurity strategies. By leveraging artificial intelligence, organizations can anticipate and mitigate potential threats across their supply chains with greater precision and speed. AI algorithms analyze vast amounts of data in real time, identifying anomalies, assessing vulnerabilities, and predicting emerging risks before they manifest into significant security breaches. This proactive approach not only enhances overall resilience but also allows for preemptive measures to secure critical assets and maintain operational continuity. As businesses increasingly rely on interconnected supply networks, the application of AI in supply chain risk management becomes indispensable in safeguarding against evolving cyber threats and ensuring sustained business resilience.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-06-28
DOI
https://doi.org/10.5281/zenodo.15756140
Primary Topic
Supply Chain Resilience and Risk Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Proactive Cyber Defense: AI in Supply Chain Risk Management

Zenodo (CERN European Organization for Nuclear Research)
Supply Chain Resilience and Risk Management
article

Proactive Cyber Defense: AI in Supply Chain Risk Management

article en

Abstract

Proactive cyber defense, particularly through the integration of AI in supply chain risk management, represents a critical evolution in cybersecurity strategies. By leveraging artificial intelligence, organizations can anticipate and mitigate potential threats across their supply chains with greater precision and speed. AI algorithms analyze vast amounts of data in real time, identifying anomalies, assessing vulnerabilities, and predicting emerging risks before they manifest into significant security breaches. This proactive approach not only enhances overall resilience but also allows for preemptive measures to secure critical assets and maintain operational continuity. As businesses increasingly rely on interconnected supply networks, the application of AI in supply chain risk management becomes indispensable in safeguarding against evolving cyber threats and ensuring sustained business resilience.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 39%
Supply Chain Resilience and Risk Management
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.