cff-version: 1.2.0
title: Agentic Prompt-Injection Boundary Pairs
message: If you use this dataset, please cite it using the metadata in this file.
type: dataset
abstract: >-
  A synthetic English dataset of 1,200 examples organized as 600 controlled
  benign/attack pairs across 50 enterprise and agentic workflow scenarios and
  12 attack families. Paired rows share workflow context and vocabulary while
  differing in whether a request preserves or crosses a security boundary. The
  release includes scenario-isolated splits, JSONL and Parquet files,
  deterministic validation, a review log, and SHA-256 checksums.
authors:
  - family-names: Deniz
    given-names: Enes
    affiliation: AltaySec
    orcid: https://orcid.org/0009-0006-9491-3565
version: 1.0.0
date-released: 2026-07-13
doi: 10.5281/zenodo.21378693
license: CC-BY-4.0
repository-code: https://github.com/3nesdeniz/agentic-prompt-injection-boundary-pairs
repository-artifact: https://huggingface.co/datasets/3nesdeniz/agentic-prompt-injection-boundary-pairs
url: https://doi.org/10.5281/zenodo.21378693
keywords:
  - AI security
  - LLM security
  - prompt injection
  - agentic AI
  - red teaming
  - hard negatives