OpenAlex
metadata only
CC BY 4.0
On the Need for Collaborative Intelligence in Cybersecurity
The success of artificial intelligence (and particularly data-driven machine learning) in classifying and making predictions from large bodies of data has led to an expectation that autonomous AI systems can be deployed in cybersecurity applications. In this position paper we outline some of the pro
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Artificial Intelligence in Cybersecurity: Revolutionizing Threat Detection and Response#731966
- Machine Learning for Cybersecurity#11235
- Machine Learning for Intelligent Data Analysis and Automation in Cybersecurity: Current and Future Prospects#199712
- AI-Driven Cybersecurity: Transforming the Prevention of Cyberattacks#84355
- Cybersecurity data science and threats: an overview from machine learning perspective#1178847
Record · ID 1178820
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive