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stindardlogic/cybersecurity-sft-100k

Cybersecurity SFT 100K A synthetic supervised fine-tuning dataset of 100,000 high-quality cybersecurity conversations designed to train AI assistants for security operations, threat analysis, incident response, and defensive security engineering. Dataset Description This dataset covers real-world security scenarios across 9 cybersecurity domains. Each record follows the ShareGPT conversation format with a practitioner-level query and a detailed, structured… See the full description on the dataset page: https://huggingface.co/datasets/stindardlogic/cybersecurity-sft-100k.

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Dataset Card

Cybersecurity SFT 100K

A synthetic supervised fine-tuning dataset of 100,000 high-quality cybersecurity conversations designed to train AI assistants for security operations, threat analysis, incident response, and defensive security engineering.

Dataset Description

This dataset covers real-world security scenarios across 9 cybersecurity domains. Each record follows the ShareGPT conversation format with a practitioner-level query and a detailed, structured security response. All penetration testing scenarios are framed within authorized assessment contexts.

Categories

Category	Description
`threat_analysis`	APT investigation, phishing analysis, social engineering
`incident_response`	Ransomware response, breach containment, forensics
`vulnerability_management`	Vuln prioritization, CVSS scoring, remediation planning
`security_architecture`	Zero trust, secrets management, defense in depth
`penetration_testing`	Authorized security testing, JWT vulns, API security
`cloud_security`	AWS security posture, IAM, cloud misconfiguration
`siem_detection`	Detection engineering, Splunk/Elastic rules, threat hunting
`secure_coding`	OWASP Top 10, Python Flask/Django security, code review

Format

ShareGPT format:

json

{
  "conversations": [
    {"from": "human", "value": "...security scenario..."},
    {"from": "gpt", "value": "...structured security response..."}
  ],
  "metadata": {"category": "...", "context": "..."},
  "id": "uuid"
}

Use Cases

—Fine-tuning security-aware AI assistants
—SOC analyst training and automation
—Security operations center (SOC) tooling
—Secure code review assistants
—SIEM and threat detection pipelines

Ethical Considerations

This dataset is designed for defensive security purposes. All penetration testing content is framed within authorized engagement contexts (bug bounty, contracted assessments). The dataset does not include novel exploit code, active malware, or instructions for unauthorized access.