Cybersecurity AI Framework
The Cybersecurity AI Framework (CAIF) is an open community standard for AI-powered cybersecurity validation, risk scoring, proof-of-exploitability, and security operations intelligence.
CAIF exists to make vulnerability validation more consistent, evidence-driven, and reviewable. It is not a SaaS product. It is a public framework that researchers, application security teams, defenders, and maintainers can improve through Issues, Discussions, and Pull Requests.
Core principles
- Community-governed standards should live in one official source of truth.
- AI can assist security work, but critical validation requires transparent evidence and human review.
- Risk scoring should explain why a finding matters, how it can be exploited, and what confidence exists.
- Standards should be practical enough for researchers, operators, and executives to use.
Framework pillars
CAIF organizes cybersecurity AI validation into eight pillars:
- AI Security Governance
- Exposure Intelligence
- Vulnerability Validation
- Proof-of-Exploitability
- Adversarial Simulation
- Secure SDLC Intelligence
- Remediation Intelligence
- Executive Cyber Reporting
Each pillar is designed to support future MDX documentation, review checklists, mappings, scoring guidance, and examples.