HuggingFace Models and Datasets
Profile: huggingface.co/AYI-NEDJIMI
Overview
These models and datasets are designed for French-speaking cybersecurity professionals who need AI tools trained on domain-specific security content, compliance frameworks, and French regulatory requirements.
Fine-tuned Models
CyberSec-Assistant-3B
A 3 billion parameter model fine-tuned for cybersecurity tasks: threat analysis, incident response procedures, security policy writing, and vulnerability assessment. Trained on real-world incident reports, CVE descriptions, and MITRE ATT&CK content.
Use Cases: Automated threat report generation, SOC alert triage, security documentation drafting
RGPD-Expert-1.5B
Specialized 1.5B parameter model for GDPR/RGPD compliance assessment, Data Protection Impact Assessment (DPIA) generation, and data protection advisory. Trained on official CNIL guidance, EU GDPR regulation text, and compliance templates.
Use Cases: DPIA drafting, data mapping questionnaires, DPO advisory support
ISO27001-Expert-1.5B
Expert model for ISO/IEC 27001:2022 compliance auditing and information security management system (ISMS) implementation. Covers all 93 controls from Annex A with contextual implementation guidance.
Use Cases: ISMS gap analysis, control implementation guidance, audit checklist generation
M365-Expert-v3
Microsoft 365 security configuration expert covering Microsoft Defender for Endpoint, Defender for Identity, Intune MDM/MAM, Azure AD Conditional Access, and Exchange Online Protection.
Use Cases: M365 security baseline assessment, Conditional Access policy design, Defender configuration review
Datasets (50+)
French-language cybersecurity training datasets for fine-tuning LLMs on security topics:
| Dataset | Description | Records |
|---|---|---|
| mitre-attack-fr | MITRE ATT&CK techniques and tactics in French | 1000+ |
| ad-attacks-fr | Active Directory attack techniques and detections | 500+ |
| forensics-windows-fr | Windows digital forensics artifacts and analysis | 800+ |
| threat-hunting-soc-fr | Threat hunting queries and SOC playbooks | 600+ |
| m365-security-fr | Microsoft 365 security configurations and hardening | 700+ |
| cve-top100-fr | Top 100 CVEs with contextual analysis in French | 100+ |
And 44+ more specialized datasets covering: malware analysis, OSINT, cloud security, incident response playbooks, penetration testing methodologies, and French regulatory compliance.
Using the Datasets
from datasets import load_dataset
ds = load_dataset("AYI-NEDJIMI/mitre-attack-fr")
print(ds["train"][0])
from transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("AYI-NEDJIMI/CyberSec-Assistant-3B")
| Back to Home | 2026 Ayi NEDJIMI |