Compare Fairly vs. Tangerin AI in 2026

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Description

Both AI and non-AI models require effective risk management and oversight to function optimally. Fairly offers a continuous monitoring system designed for robust model governance and oversight. This platform facilitates seamless collaboration between risk and compliance teams alongside data science and cyber security professionals, ensuring that models maintain reliability and security standards. Fairly provides a straightforward approach to staying current with policies and regulations related to the procurement, validation, and auditing of non-AI, predictive AI, and generative AI models. The model validation and auditing process is streamlined by Fairly, which grants direct access to ground truth in a controlled environment for both in-house and third-party models, all while minimizing additional burdens on development and IT teams. This ensures that Fairly's platform not only promotes compliance but also fosters secure and ethical modeling practices. Furthermore, Fairly empowers teams to effectively identify, assess, and monitor risks while also reporting and mitigating compliance, operational, and model-related risks in alignment with both internal policies and external regulations. By incorporating these features, Fairly reinforces its commitment to maintaining high standards of model integrity and accountability.

Description

What tools are your people actually using to get work done with AI, and does anyone know? Tangerin AI is the independent AI governance platform built to answer that question for organizations of any size, not just in Brazil but around the world. Sanctioned or not (the latter being what's commonly called Shadow AI), every AI tool in use gets discovered, assessed for risk, brought under policy, and backed by evidence an external auditor can check. Detection runs two ways: a small agent on Windows, macOS and Linux endpoints, or an agentless route that reads existing NGFW, SSE and SIEM logs. Whatever comes in gets checked against a constantly updated catalog of thousands of AI tools, each one carrying its data risk level, where it processes data, how long it retains it, and whether it trains on customer data. From there, policy marks each tool allowed, restricted or banned; staff sign off on the AI usage policy digitally; and more than twenty regulatory frameworks, NIST AI RMF and SOC 2 among them, alongside LGPD, ISO 42001, the EU AI Act and GDPR, are covered with automatic evidence mapping between equivalent frameworks and a dedicated view for outside auditors. What gets logged is which tool, by whom, when, and on which machine. Conversation content, prompts, and files never do; that line was drawn in the architecture, not left to a settings toggle.