What is an AI risk score?

An AI risk score is a quantified 0–100 safety rating that evaluates an AI model across four pillars: regulatory compliance, security & vulnerability, ethical bias, and data privacy. Higher scores indicate lower risk. Global AI Risk provides these scores for 29+ leading AI models.

How does Global AI Risk assess AI models?

Global AI Risk uses a proprietary four-pillar methodology aligned with EU AI Act, NIST AI RMF, and ISO 42001 standards. Each model is evaluated on regulatory compliance, security vulnerabilities, ethical bias, and data privacy using automated scanning and expert analysis.

Which AI models does Global AI Risk cover?

Global AI Risk currently covers 29+ AI models including GPT-4o, Claude 3.5, Gemini 2.0, Llama 3.1, Mistral, and many more. New models are continuously discovered and added through our automated scanning system.

What compliance frameworks does Global AI Risk support?

Global AI Risk maps risk assessments to six major frameworks: EU AI Act, NIST AI RMF, ISO 42001, OECD AI Principles, Singapore FEAT, and Canada AIDA. Compliance certificates are available for enterprise subscribers.

AI Risk Intelligence

Stay Ahead of AI Risk

Regular analysis from our research team on emerging risks, policy changes, and the evolving AI safety landscape. Updated weekly.

Vulnerability AlertApril 9, 2026

Securing the AI Frontier: Advanced Threats and Proactive Defenses in 2026

As AI systems permeate critical infrastructure, understanding and mitigating advanced security threats like sophisticated prompt injection, adaptive data poisoning, and enhanced model extraction becomes paramount. This analysis details the latest attack vectors and offers actionable, framework-aligned defense strategies for enterprise leaders.

9 min read3

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AI securityprompt injectiondata poisoning

Weekly DigestApril 9, 2026

AI Risk Intelligence: April 2026 Weekly Digest for Enterprise Leaders

This week's digest covers the EU AI Act's new enforcement mechanisms, critical supply chain vulnerabilities in open-source models, and the latest on AI-driven disinformation. We provide actionable insights for CISOs and compliance officers to fortify their AI governance frameworks.

8 min read3

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EU AI ActAI supply chain riskdisinformation

Expert InsightApril 2, 2026

Operationalizing AI Governance: Beyond Policy to Practice in 2026

As AI adoption accelerates, organizations face the critical challenge of moving beyond theoretical AI governance policies to practical, embedded operational frameworks. This article explores strategies for effective AI governance implementation, leveraging global standards and offering actionable insights for enterprise leaders.

10 min read6

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AI GovernanceEU AI ActNIST AI RMF

Research BriefApril 2, 2026

Beyond the Metrics: Advancing AI Bias Measurement for Robust Enterprise Systems

As AI integration accelerates, robust bias measurement is no longer optional but foundational for trust and compliance. This brief explores cutting-edge methodologies and frameworks, offering actionable insights for enterprises to proactively identify, quantify, and mitigate algorithmic bias, ensuring ethical and equitable AI deployment.

8 min read6

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AI biasAI safetyEU AI Act

Vulnerability AlertMarch 26, 2026

Fortifying AI: Emerging Attack Vectors and Proactive Defenses in 2026

This article dissects the latest advancements in AI security vulnerabilities, from sophisticated prompt injection techniques to evolving data poisoning and model extraction attacks. It provides actionable mitigation strategies for organizations to fortify their AI systems against these emerging threats.

9 min read6

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AI securityprompt injectiondata poisoning

Weekly DigestMarch 26, 2026

AI Risk Intelligence: March 2026 Weekly Digest for Enterprise Leaders

This week's digest covers the latest in AI regulation, emerging model vulnerabilities, and critical industry trends. We provide actionable insights for enterprise risk managers to navigate the rapidly evolving AI landscape and ensure robust governance.

9 min read5

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AI Risk ManagementEU AI ActData Poisoning

Vulnerability AlertMarch 12, 2026

Securing the AI Frontier: Emerging Threats and Proactive Defenses in 2026

As AI adoption accelerates, so does the sophistication of AI-specific cyber threats. This article dissects the latest attack vectors, from advanced prompt injection to data poisoning, and provides actionable strategies for robust AI security in 2026.

9 min read29

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AI securityprompt injectiondata poisoning

Policy UpdateMarch 12, 2026

Navigating the EU AI Act's High-Risk AI System Obligations: A 2026 Compliance Imperative

As the EU AI Act's core provisions become fully applicable in mid-2026, organizations deploying 'high-risk' AI systems face stringent new compliance requirements. This article breaks down these obligations, offering actionable strategies to ensure readiness and mitigate significant legal and reputational risks.

9 min read9

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EU AI ActHigh-Risk AIAI Governance

Weekly DigestMarch 12, 2026

Supply Chain Resilience in AI: Mitigating Risks from Foundation Models to Deployment

As AI integration deepens, understanding and securing the AI supply chain—from foundational model providers to deployment environments—is critical. This article outlines key vulnerabilities and offers actionable strategies for enterprise risk managers to build robust AI systems.

9 min read12

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AI Supply ChainRisk ManagementEU AI Act

Expert InsightMarch 5, 2026

Beyond Compliance: Elevating AI Risk to the Boardroom in 2026

As AI adoption accelerates and regulatory landscapes mature, board-level engagement with AI risk is no longer optional. This article outlines a strategic approach to integrating AI risk into enterprise governance frameworks, moving beyond mere compliance to foster resilient and responsible AI innovation.

10 min read11

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AI GovernanceBoard ReportingRisk Management

Industry AnalysisMarch 5, 2026

AI in Healthcare: Navigating the Complexities of Risk and Regulation in 2026

As AI integration accelerates across healthcare, this analysis delves into the sector's unique challenges in managing AI risk. We examine real-world adoption, regulatory pressures from the EU AI Act and NIST AI RMF, and offer actionable strategies for robust, ethical AI governance in healthcare.

10 min read12

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Healthcare AIAI Risk ManagementEU AI Act

Research BriefMarch 5, 2026

Beyond the Black Box: Explainable AI's Role in 2026 Compliance and Trust

As AI systems become more pervasive, understanding their decisions is no longer a luxury but a regulatory and operational imperative. This brief explores the latest advancements in Explainable AI (XAI) and its critical role in navigating the complex compliance landscape of 2026, offering practical steps for enterprises.

9 min read18

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Explainable AIAI GovernanceEU AI Act

Weekly DigestFebruary 26, 2026

AI Risk Weekly Digest: Navigating 2026's Evolving Landscape

This week's digest covers the latest in AI risk: EU AI Act compliance deadlines, new adversarial attack vectors, and the push for explainable AI. We provide actionable insights for enterprises to fortify their AI governance and security frameworks.

10 min read23

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EU AI ActNIST AI RMFAdversarial AI