fevziegeyurtsevenler/owasp-agentic-top10-2026-tr
OWASP Top 10 for Agentic Applications 2026 — Turkish edition (machine-readable) Machine-readable Turkish edition of the OWASP Top 10 for Agentic Applications (2026) (ASI01:2026–ASI10:2026), each risk mapped to verified MITRE ATLAS techniques and the OWASP LLM Top 10. OWASP Agentic Uygulamalar icin Ilk 10 (2026) risklerinin makine-okunur Turkce surumu. UNOFFICIAL community Turkish translation. The authoritative text is the English OWASP source: OWASP GenAI Security Project - Top… See the full description on the dataset page: https://huggingface.co/datasets/fevziegeyurtsevenler/owasp-agentic-top10-2026-tr.
OWASP Top 10 for Agentic Applications 2026 — Turkish edition (machine-readable)
Machine-readable Turkish edition of the OWASP Top 10 for Agentic Applications (2026) (ASI01:2026–ASI10:2026), each risk mapped to verified MITRE ATLAS techniques and the OWASP LLM Top 10. OWASP Agentic Uygulamalar icin Ilk 10 (2026) risklerinin makine-okunur Turkce surumu.
UNOFFICIAL community Turkish translation. The authoritative text is the English OWASP source: OWASP GenAI Security Project - Top 10 for Agentic Applications 2026. Resmi olmayan topluluk cevirisidir; yetkili metin Ingilizce OWASP kaynagidir.
Dataset structure
One record per OWASP Agentic risk (10 rows). Fields:
Load
import json, urllib.request
# from a local clone
with open('data/agentic-top10-2026.json', encoding='utf-8') as fh:
data = json.load(fh)
for r in data['risks']:
atlas = ', '.join(t['id'] for t in r['atlas_techniques'])
print(r['id'], '-', r['en_title'], '/', r['tr_title'])
print(' ATLAS:', atlas)With the 🤗 datasets library (flatten the JSON's risks array):
from datasets import load_dataset
ds = load_dataset('json', data_files='data/agentic-top10-2026.json', field='risks')
print(ds['train'][0]['id']) # ASI01:2026Risks
Provenance & honesty
- Source taxonomy: OWASP GenAI Security Project, Top 10 for Agentic Applications 2026 (released 2025-12-09), licensed CC BY-SA 4.0. https://genai.owasp.org/resource/owasp-top-10-for-agentic-applications-for-2026/
- ATLAS techniques: MITRE ATLAS (mitre-atlas/atlas-data) v5.6.0 (https://raw.githubusercontent.com/mitre-atlas/atlas-data/main/dist/ATLAS.yaml). Every id is verified against the vendored
data/atlas_techniques_ref.json. - Translation status: UNOFFICIAL community Turkish translation. The authoritative text is the English OWASP source. / Resmi olmayan topluluk cevirisidir; yetkili metin Ingilizce OWASP kaynagidir.
- ATLAS mapping status: Community/analytical mapping. Each ATLAS id is verified to exist in the cited ATLAS distribution (v5.6.0), but the risk->technique association is this edition's analysis, not an official OWASP<->ATLAS mapping. Technique ids and top-level names are verbatim from ATLAS; sub-technique names use ATLAS's canonical 'Parent: Sub' display form.
- Not endorsed by OWASP or MITRE. Independent community edition.
Citation
@misc{owasp_agentic_top10_2026_tr,
title = {OWASP Top 10 for Agentic Applications 2026 - Machine-readable Turkish edition},
author = {Yurtsevenler, Fevzi Ege},
year = {2026},
note = {Unofficial community Turkish translation; taxonomy (c) OWASP GenAI Security Project (CC BY-SA 4.0); ATLAS ids (c) MITRE ATLAS.},
howpublished = {\url{https://genai.owasp.org/resource/owasp-top-10-for-agentic-applications-for-2026/}}
}License
Data/text: CC BY-SA 4.0 (matches the OWASP source). Renderer code in the repo: Apache-2.0.
İlgili AltaySec kaynakları
- 🌐 AltaySec · Açık Kaynak Lab
- 💻 GitHub: github.com/fevziegeyurtsevenler
- 📚 Kardeş veri setleri: owasp-llm-top10-2026-tr · AltaySec/turkish-llm-injection
