# scoring
8 articlestagged with “scoring”
AI-Specific Severity Scoring Framework
Severity scoring framework designed for AI security incidents: model integrity impact, data exposure scope, blast radius analysis, reversibility assessment, and composite scoring methodology.
Community Challenges Overview
How to participate in monthly AI red teaming challenges, earn points, share results, and grow your skills alongside the community.
Attack Result Scoring Framework
Develop a framework for automatically scoring attack results based on multiple success criteria.
Result Scoring Systems
Designing automated scoring systems for evaluating attack success, including semantic classifiers, rule-based detectors, and LLM-as-judge approaches.
AI Risk Assessment Methodology
Structured approaches to evaluating AI system risks including identification, scoring frameworks, treatment planning, and templates for conducting comprehensive AI risk assessments.
Lab: Vulnerability Scoring Fundamentals
Learn vulnerability scoring frameworks adapted for LLM systems including severity, exploitability, and impact assessment.
Toxicity Scoring Pipeline
Step-by-step walkthrough for building a toxicity scoring pipeline for LLM output filtering, covering model selection, multi-dimensional scoring, threshold calibration, and production deployment with real-time scoring.
PyRIT Custom Scoring Integration
Integrate custom scoring metrics into PyRIT for organization-specific red team evaluation criteria.