AI in Offensive and Defensive Cybersecurity - English Dataset

AYI-NEDJIMI's AI in Offensive and Defensive Cybersecurity - English Dataset is a bilingual collection covering the use of Artificial Intelligence in cybersecurity from both attacker and defender perspectives. The dataset synthesizes knowledge from articles on topics like LLM-based attack techniques and AI-augmented SIEM. It was last updated on February 13, 2026.

Use Cases

• Analyzing LLM-based attack techniques based on the described coverage of offensive AI.
• Researching AI-augmented threat detection methods based on the described coverage of defensive AI.
• Training or evaluating models for cybersecurity text classification based on the bilingual, article-synthesized content.
• Studying the dual perspectives of AI in security operations based on the described offensive and defensive framework.

Strengths

• Covers both offensive and defensive cybersecurity perspectives, providing a dual viewpoint.
• Synthesizes content from multiple described articles on specific AI-cybersecurity topics.
• Is bilingual, with this version specifically in English.

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count, file formats, and license information are unknown, which may limit suitability assessment.

Provenance

Source

Author AYI-NEDJIMI on Hugging Face.

Collection Method

Likely synthesized from described articles on AI cybersecurity topics.

Freshness

Last updated 2026-02-13 21:13:58; freshness should be verified.