OWASP Agentic AI Threats and Mitigations Synthetic Q&A Dataset

The OWASP Agentic AI Threats and Mitigations Question Answering Dataset is a synthetic instruction-style dataset derived from the OWASP Agentic AI - Threats and Mitigations report. It was created by user leeroy-jankins and last updated on 2026-05-27. The dataset is designed to support training, fine-tuning, and evaluation for domain-specific question-answering.

Use Cases

• Training question-answering models based on synthetic security-related instructions.
• Fine-tuning language models for domain-specific tasks related to agentic AI security.
• Evaluating retrieval-augmented generation systems using security-focused queries.
• Supporting research into threats and mitigations for multi-agent systems.

Strengths

• Dataset is derived from the authoritative OWASP Agentic AI - Threats and Mitigations report.
• It is explicitly designed for multiple use cases: training, fine-tuning, and retrieval evaluation.

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 is unknown, which may limit suitability assessment.

Provenance

Source

OWASP Agentic AI - Threats and Mitigations report.

Collection Method

Synthetically generated instruction-style question-answering data.

Freshness

Last updated 2026-05-27 17:50:02; freshness should be verified.