18 forums, researcher networks, newsletters, and open-source projects tracking AI threats and sharing defense strategies
Independent blog with deep technical write-ups on prompt injection mechanics, agent security flaws, and LLM trust boundaries.
GitHub list aggregating 200+ LLM security tools, papers, datasets, and attack write-ups.
DEF CON community running AI red teaming events, CTFs, and publishing adversarial ML research.
Mozilla's GenAI bug bounty program rewarding AI vulnerability discovery and responsible disclosure.
Dataset of 15,000+ real-world LLM jailbreak prompts collected from Reddit and Discord communities.
Catalog of known prompt injection defense strategies with effectiveness notes and implementation links.
Repository of copy-paste LLM attack payloads organized by technique: injection, jailbreak, exfiltration.
Curated GitHub list of MCP security tools, vulnerability research, and defensive guidance.
Curated GitHub list covering LLM agent security, vulnerabilities, attacks, and cybersecurity applications.
OWASP working group producing checklists and deployment guidance for generative AI security.
Publishes write-ups on model serialization attacks, agent exploitation, and novel AI attack techniques.
Research portal with MITRE ATLAS-mapped detection rules and AI threat analysis.
Publishes vulnerability disclosures, tool releases, and analysis of ML supply chain risks.
Maps IAM privilege escalation paths across AWS, Azure, and GCP AI/ML services.
Open, community-maintained database of known cloud vulnerabilities and cloud-provider security issues, sponsored by Wiz.
Detection engineering blog with coverage of AI-augmented attack techniques and defense strategies.
Link collection from Arcanum covering offensive AI tools, defensive frameworks, and training materials.
Blog on prompt versioning, A/B testing, and observability patterns for LLM applications.
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