RiskRubric.ai Launches as First AI Model Risk Leaderboard to Address Security Concerns

The Cloud Security Alliance (CSA), in collaboration with Noma Security, Harmonic Security, and Haize Labs, has launched RiskRubric.ai, the first AI model risk leaderboard designed to address growing security concerns in artificial intelligence deployment. This free resource provides standardized security assessments for hundreds of large language models (LLMs) based on six critical pillars: transparency, reliability, security, privacy, safety, and reputation.

The platform emerges as organizations face significant challenges in rapidly innovating with AI while maintaining security standards. Engineering teams often encounter weeks-long approval bottlenecks, while security teams lack specialized tools to properly evaluate AI-specific risks. RiskRubric.ai eliminates guesswork by providing instant, actionable risk grades for commonly deployed enterprise models, enabling faster and more informed decision-making.

RiskRubric.ai evaluates hundreds of leading AI models through rigorous testing protocols, including over 1,000 reliability prompts, 200+ adversarial security tests, automated code scans, and comprehensive documentation reviews. Each model receives objective scores from 0-100 across the six risk pillars, culminating in A-F letter grades that enable rapid risk assessment without requiring deep AI expertise. The project currently covers 150+ popular AI models including GPT-4, Claude, Llama, Gemini, and specialized enterprise models, with new assessments added continuously.

Niv Braun, CEO and Co-Founder of Noma Security, emphasized the critical need for standardized assessments, stating that without them, teams are essentially flying blind when selecting AI models. The platform provides contextualized, evidence-based LLM risk intelligence that helps CISOs confidently communicate AI risks with concrete metrics while enabling engineering teams to accelerate innovation.

The launch comes at a crucial time as AI agents rapidly proliferate across enterprises, with agentic models gaining increasing autonomy and access to critical business systems. Traditional security frameworks, designed for predictable technology, have proven inadequate for the breakneck pace of AI development where new models launch weekly and capabilities shift dramatically between versions. Caleb Sima, Chair of the CSA AI Safety Initiative, noted that RiskRubric.ai embodies CSA's mission to deliver AI security best practices, tools, and education to the cybersecurity industry at large.

The collaborative effort brings together diverse expertise from multiple organizations. Haize Labs contributed advanced adversarial testing methodologies, while Harmonic Security provided critical insights on privacy assessment and data leakage prevention. The platform is now generally available at https://riskrubric.ai, offering free access to AI model risk ratings for all users. This standardized approach to AI model assessment represents a significant step toward enabling responsible AI innovation at scale across industries.