Team Ai
14 results

appsec

ismailtasdelen /AppSecBench AppSecBench Dataset Card Dataset Summary AppSecBench is an original benchmark of 406 vulnerable/secure code pairs spanning 12 programming languages, 18 frameworks, 34 vulnerability classes, and 5 difficulty levels. Each record is a self-contained evaluation case: a vulnerable snippet, its secure counterpart, an exploit sketch, and the "ground truth" a detector/model is expected to produce (CWE, OWASP, severity, CVSS 3.1, explainability, fix, and… See the full description on the dataset page: https://huggingface.co/datasets/ismailtasdelen/AppSecBench.texttext-generationn<1K0 likes172 downloads1mo agoHugging Facepratikamin /appsec-router-pairs-r5 appsec-router-pairs-r5 Training data for pratikamin/appsec-router-deberta-r5: pairs of an application-security interview answer and a hypothesis about the speaker, labelled 1 when the answer expresses the point and 0 when it does not. Entirely synthetic. Answers were generated by openai/gpt-oss-120b (Apache 2.0) to 86 authored interview questions and their 378 follow-ups from appsecinterview.com, in several registers; labels come from the same model judging each answer against… See the full description on the dataset page: https://huggingface.co/datasets/pratikamin/appsec-router-pairs-r5.tabulartext-classification10K<n<100K0 likes68 downloads1mo agoHugging FaceQwovadis /red-team-appsec-benchmark 🛡️ AI-SaaS AppSec Benchmark — v25 Открытый held-out бенчмарк для оценки детекторов уязвимостей в AI-сгенерированном коде («vibe-coded» приложения: LLM-агенты, RAG, Supabase/Next-стек). Ведётся командой red-team.tech — AI-native сканера безопасности приложений. 857 размеченных примеров (518 уязвимых + 339 безопасных), 25 классов: 17 классических (CWE) + 8 AI-native (OWASP LLM Top-10). Актуальный файл — heldout_public_v25.jsonl. Зачем это Классический SAST (Semgrep… See the full description on the dataset page: https://huggingface.co/datasets/Qwovadis/red-team-appsec-benchmark.text-classificationn<1K1 likes64 downloads1mo agoHugging Facealpha-one-index /ai-appsec-index AI AppSec Index The definitive open-source reference for AI-augmented application security. Dataset Description 6 structured datasets covering the AI AppSec landscape: Dataset Records Description AI Remediation Leaderboard 9+ Benchmark scores for AI-powered code remediation engines ASPM Capability Matrix 15+ Vendor comparison across 20+ capabilities AI-Code Vulnerability Tracker 48+ Real CVEs in AI-generated code mapped to CWEs EU CRA Compliance Map 12+… See the full description on the dataset page: https://huggingface.co/datasets/alpha-one-index/ai-appsec-index.text-classificationn<1K0 likes15 downloads7mo agoHugging Face