Secure the Future of Artificial Intelligence
Open-source tools, threat intelligence, and learning resources to protect AI systems from prompt injection, data poisoning, model theft, and emerging GenAI threats.
Everything You Need to Secure AI
A comprehensive open-source platform combining security tools, threat intelligence, education, and compliance in one place.
AI Security Scanner
Scan LLM-powered applications for prompt injection, data leakage, jailbreaks, and model poisoning vulnerabilities. Integrates into your CI/CD pipeline.
Threat Intelligence
Curated feed of AI-specific vulnerabilities, attack patterns, and adversarial techniques — a CVE-like reference for AI/ML models and frameworks, available as JSON and RSS.
Red Team Playground
Interactive sandbox to practice attacking and defending LLMs. Gamified CTF challenges focused on prompt injection, model extraction, and data poisoning.
Prompt Firewall
Open-source guardrails library to filter malicious inputs and validate LLM outputs in real-time. Drop-in middleware for any AI application.
Learning Platform
Structured courses from fundamentals to advanced GenAI red teaming. Hands-on labs, certifications, and a growing library of research papers.
Compliance Engine
Map AI deployments against EU AI Act, NIST AI RMF, and ISO 42001. Auto-generate compliance reports with risk scoring for AI systems.
Built in the Open
Our tools are open-source. Start with the Scanner engine today — more tools are on the roadmap.
opensecureai/scanner
Dependency-free heuristic engine that detects prompt-injection, jailbreak, and data-exfiltration patterns. Powers the in-browser Scanner, the REST API, a CLI, and a GitHub Action.
opensecureai/prompt-firewall
Runtime guardrails for LLM inputs and outputs. Drop-in middleware for any framework.
opensecureai/redteam-toolkit
Automated red teaming framework for LLMs. Test for jailbreaks, prompt leaks, and data extraction.
opensecureai/model-integrity-checker
Verify AI model supply chain integrity. Detect tampering, poisoning, and backdoors.
AI Threat Intelligence
A curated, CVE-style reference of AI-specific vulnerabilities, attack patterns, and adversarial techniques — mapped to the OWASP Top 10 for LLMs.
Multi-turn prompt injection bypasses guardrails via context splitting
Typosquatted model on public registry ships a backdoored tokenizer
Data exfiltration through markdown image rendering
Indirect prompt injection via retrieved web content
Level Up Your AI Security Skills
Structured learning paths from fundamentals to advanced red teaming. Curriculum in development — follow along as modules are published.
AI Security Fundamentals
Learn the basics of AI/ML security, common attack vectors, and defense strategies.
LLM Security & Prompt Engineering Defense
Deep dive into prompt injection, jailbreaking, and building robust LLM guardrails.
GenAI Red Teaming Masterclass
Master adversarial techniques for GenAI systems. Model extraction, data poisoning, and evasion attacks.
Ready to Protect Your AI Systems?
Free, open-source tools for developers, researchers, and organizations building secure AI.
Free and open-source. No signup required.