cybershujin/Threat-Actors-use-of-Artifical-Intelligence

ATLAS tactics, techniques, and case studies data

A curated list of tools, papers, and datasets for applying AI to cybersecurity tasks. This list primarily focuses on modern AI technologies like Large Language Models (LLMs), Agents, and Multi-Modal systems and their applications in security operations.

A curated list of LLM driven Cyber security Resources

Cyber Threat Intelligence Data, Indicators, and Analysis

Repository created to share information about tactics, techniques and procedures used by threat actors. Initially with ransomware groups and evolving to other types of threats.

This project aims to consolidate and share high-quality resources and tools across the cybersecurity domain.

A curated list of public-source, research, and commercial tools for AI security and AI-assisted cybersecurity — autotriage, agent security, AI/ML supply chain, pentest agents, AI SAST, LLM-driven fuzzing, threat intelligence, SOC/SIEM triage, reverse engineering, LLM red-teaming, and more.

Blacksea is an active honeypot and canary-bait control system built to detect and drown LLM-driven attackers. Blacksea doesn't stop at watching LLM attacks. It exploits flaws in the attacker's LLM judgment to gain arbitrary code execution on their machines, collect intel passive defenses can't reach, and make sure they don't come back.

Independent OSINT CTI archive (TLP:GREEN): supply-chain, zero-day, DPRK/APT, AI/LLM threats, Web3, and Korea breach/policy reports. Multilingual KR/EN/JP/ZH. By Dennis Kim.