Free AI Safety Resources
Enterprise-grade frameworks, checklists, and playbooks based on industry-standard methodologies and regulatory requirements
AI Safety Checklist
50+ Critical Checkpoints
Pre-deployment validation framework covering hallucinations, bias, adversarial attacks, and compliance.
Incident Response Playbook
12 Critical Incident Types
Battle-tested procedures for handling AI failures, data leaks, bias incidents, and attacks.
Prompt Injection Defense Guide
15+ Defense Strategies
Technical guide with code examples for defending against prompt injection and jailbreaks.
LLM Evaluation Framework
8-Dimensional Testing
Complete methodology for evaluating LLM accuracy, safety, performance, and cost-effectiveness.
RAG System Audit Template
End-to-End RAG Evaluation
Systematic framework for evaluating retrieval quality, embeddings, and RAG pipeline accuracy.
AI Model Risk Assessment
Enterprise Compliance Framework
Regulatory-compliant risk assessment template for SR 11-7, NIST AI RMF, and EU AI Act.
Why Trust These Resources?
Value of AI incidents prevented by teams using our resources
Companies trust our frameworks for production AI systems
Battle-tested in real-world AI deployments across industries
These aren't academic frameworks. They're practical tools based on industry-standard methodologies, regulatory guidance, and real-world AI safety requirements.
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Use our free interactive tools to assess your AI system's safety, bias, and security posture
Need Professional AI Safety Services?
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