Top 10 Best Audit AI Software of 2026

Credo AI is a comprehensive AI governance platform that enables organizations to audit, monitor, and manage risks across their AI lifecycle. It offers tools for automated risk assessments, compliance reporting aligned with regulations like the EU AI Act and NIST AI RMF, and integration with ML workflows for continuous auditing. Designed for enterprises, it helps mitigate bias, fairness, security, and ethical issues in AI deployments at scale.

Arthur AI is a leading platform for AI observability and governance, designed to monitor, explain, and optimize machine learning models in production environments. It offers comprehensive tools for detecting data drift, performance issues, bias, and security risks, ensuring AI systems remain reliable and compliant. With integrations across major ML frameworks and cloud providers, it empowers enterprises to audit and govern their AI deployments effectively.

Fiddler AI is an enterprise-grade platform for explainable AI (XAI) and ML observability, designed to monitor, audit, and explain machine learning models in production environments. It offers tools for detecting data drift, performance issues, bias, and fairness violations, while generating audit-ready reports for regulatory compliance like GDPR and CCPA. With seamless integrations to frameworks like TensorFlow, PyTorch, and cloud services, it empowers teams to build trustworthy AI systems at scale.

Arize AI is a leading ML observability platform that enables teams to monitor, troubleshoot, and audit machine learning models in production. It excels in detecting data drift, performance degradation, bias, and fairness issues, providing explainability and root cause analysis essential for AI auditing. The platform supports both traditional ML and LLMs, with tools like Phoenix for open-source tracing.

WhyLabs (whylabs.ai) is an AI observability platform designed to monitor and audit machine learning models in production environments. It offers comprehensive tools for data validation, drift detection (including data, concept, and embedding drift), performance tracking, and bias analysis to ensure model reliability and compliance. The platform integrates seamlessly with popular ML frameworks and supports both traditional ML and LLM workflows, making it suitable for ongoing AI audits.

CalypsoAI is an AI governance and security platform focused on auditing and protecting generative AI deployments through real-time monitoring and risk assessment. It offers tools like automated red teaming, guardrails for content moderation, and compliance evaluations to detect vulnerabilities such as jailbreaks, biases, and data leaks. The solution integrates seamlessly with major LLM providers, enabling organizations to audit AI outputs at scale while ensuring regulatory adherence.

Monitaur is an AI governance platform specializing in monitoring and auditing large language models (LLMs) and AI agents. It provides real-time tracking of inputs, outputs, performance metrics, biases, and drifts, while generating compliance-ready audit trails. The tool supports integration with major LLM providers like OpenAI and Anthropic, enabling customizable evaluators for tailored assessments.

Fairly AI is an automated platform for auditing AI models and datasets to detect bias, ensure fairness, and support regulatory compliance like the EU AI Act. It offers quick scans, customizable fairness metrics, and generates detailed reports with mitigation recommendations. The tool integrates with ML workflows to help teams identify and address ethical risks efficiently.

Holistic AI is an enterprise platform for AI governance and risk management, enabling comprehensive auditing of AI systems for fairness, robustness, bias, security, and regulatory compliance such as the EU AI Act. It provides automated testing with over 120 pre-built assessments, continuous monitoring, and customizable reporting to quantify AI risks. The solution integrates with popular ML frameworks and supports model-agnostic evaluations for responsible AI deployment.

Superwise (superwise.ai) is an AI observability platform focused on monitoring and safeguarding machine learning models in production environments. It excels in detecting issues like data drift, model degradation, bias, and toxicity through real-time analytics and automated alerts. As an audit AI solution, it provides detailed logs, explainability tools, and incident management to support compliance and reliability assessments for deployed AI systems.