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Datasets:
fevziegeyurtsevenler
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owasp-llm-top10-2026-tr

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Text Classification
Modalities:
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Formats:
json
Languages:
Turkish
English
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< 1K
Tags:
owasp
llm-security
ai-security
prompt-injection
turkish
guvenlik
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{ "title": "OWASP Top 10 for LLM Applications 2026 — machine-readable + Turkish edition", "official_document": "OWASP Top 10 for LLM Applications, Version 2026 (v1.0)", "official_publisher": "OWASP GenAI Security Project", "official_source": "https://genai.owasp.org/resource/owasp-genai-llm-top-10-2026/", "of...
[ { "id": "LLM01:2026", "en_title": "Prompt Injection", "tr_title": "Komut Enjeksiyonu (Prompt Injection)", "en_summary": "Input (direct, retrieved content, tool output, image/audio, intermediate reasoning, or persistent memory) alters the model's behavior in unintended ways; LLMs make no architectura...

OWASP LLM Top 10 2026 — Turkish + machine-readable edition

Machine-readable (data/llm-top10-2026.json) + Turkish edition of the OWASP Top 10 for LLM Applications 2026 (released 2026-08-04 by the OWASP GenAI Security Project), with the 2025 → 2026 change map.

  • Authoritative source: https://genai.owasp.org/resource/owasp-genai-llm-top-10-2026/ (CC BY-SA 4.0)
  • Unofficial derivative. English IDs/titles are the official OWASP titles (verified); Turkish is a community translation; English summaries are concise editorial summaries.
  • Distributed under CC BY-SA 4.0 (ShareAlike), same as the source.
from huggingface_hub import hf_hub_download
import json
p = hf_hub_download("fevziegeyurtsevenler/owasp-llm-top10-2026-tr",
                    "data/llm-top10-2026.json", repo_type="dataset")
for r in json.load(open(p))["risks"]:
    print(r["id"], r["en_title"], "—", r["tr_title"], "|", r["change"])

GitHub (README + change table + validator): https://github.com/fevziegeyurtsevenler/owasp-llm-top10-2026-tr

Citation

"OWASP Top 10 for LLM Applications 2026", OWASP GenAI Security Project, CC BY-SA 4.0. Turkish / machine-readable derivative: AltaySec (Fevzi Ege Yurtsevenler).

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