FAIAS (Financial AI Independent Assurance Standard) is a baseline for reviewing generative, agentic and predictive AI systems in financial institutions. It was developed by Wonder Attah. FAIAS sets out 109 review questions across nine domains, such as data, security and fairness, each with a safe, non-production test procedure. Systems are reviewed in proportion to their risk. The author describes it as emerging work, not a certification scheme. It is released under a CC BY 4.0 licence.

The Deployer AI Risk Register (DARR) is an open catalogue of 82 AI risks and 61 security sub-risks for organisations deploying AI systems. It consolidates the MIT AI Risk Repository with ISO/IEC standards, MITRE ATLAS and the EU AI Act, and groups risks into seven families aligned with existing enterprise risk functions. Each risk has a stable identifier and mappings to external frameworks. The data is freely available in CSV and JSON under a CC BY 4.0 licence.

A three-layer, enterprise-wide AI risk management and governance framework that operationalises trustworthy AI from board strategy to operational controls and organisational resilience.

Judgment Assurance is a decision-governance discipline that reframes human judgment as a governed institutional asset. It provides a structured framework and practical instruments, including the Underwriting Questionnaire (JA-UQ) and Maturity Model (JAMM-PS), to ensure that consequential AI-mediated decisions are reconstructible and defensible. By defining minimum governance controls for human oversight, it closes the "accountability gap," allowing institutions to define, record, own, and guard the reasoning behind consequential AI-supported outcomes.

The Resaro AI Solutions Quality Index (ASQI) provides a transparent, use-case-specific measure of AI quality — for applications such as customer chat services, object recognition, deepfake detection, or x-ray anomaly identification.

MISSION KI's Compliance Monitor is a tool for monitoring compliance with legal frameworks to facilitate interoperability, data flows and benefit sharing.

Vectice is a regulatory MLOps platform for AI/ML developers and validators that streamlines documentation, governance, and collaborative reviewing of AI/ML models. Designed to enhance audit readiness and ensure regulatory compliance, Vectice automates model documentation, from development to validation. With features like automated lineage tracking and documentation co-pilot, Vectice empowers AI/ML developers and validators to work in their favorite environment while focusing on impactful work, accelerating productivity, and reducing risk.

FairNow is an AI governance software tool that simplifies and centralises AI risk management at scale. To build and maintain trust with customers, organisations must conduct thorough risk assessments on their AI models, ensuring compliance, fairness, and security. Risk assessments also ensure organisations know where to prioritise their AI governance efforts, beginning with high-risk models and use cases.

Enzai’s EU AI Act Compliance Framework makes achieving compliance with the world’s first comprehensive AI governance legislation as easy as possible. The framework breaks hundreds of pages of regulations down into easy-to-follow steps allowing teams to enable organisations to seamlessly and confidently assess the compliance of their AI Systems with the Act and complete the requisite conformity assessments.

Citrusx offers a multifaceted solution to connect all stakeholders in the company through an SDK, user-friendly UI, and automated reporting system.

Use Saidot to empower AI teams to do high-quality AI governance efficiently and with quality

Automate, simplify, and streamline your end-to-end AI risk management process.

Based on abstract interpretations, Saimple leverages state-of-the-art techniques described in ISO/IEC 24029 standards for the assessment and validation of AI model robustness

Meta-learning is a promising strategy for learning to efficiently learn within new tasks, using data gathered from a distribution of tasks.

QuantPi’s puts AI systems to the test. It is the cockpit of AI-first organizations to collaborate on – to efficiently and responsibly understand, enhance and steer their individual AI models as well as their complete AI landscape.

A software-based EU AI Act compliance solution for your clients and AI value chain actors

GuArdIan: Essential safeguard for businesses utilizing ChatGPT-like LLM technology

To accelerate the journey to net zero, our team has designed the first publicly available tool to be used on new data projects to assess and measure the data CO2 footprint along the dataflow, called the “Data Carbon Ladder”. Using this tool, organizations can reduce their data CO2 footprint by ensuring optimal dataset(s) selection, frequency of updates, storage location, and analytics for the project to not only succeed but to do so in the most environmentally friendly way.

AI assurance as smart as your AI systems

BetterBeliefs is an evidence-based and inclusive stakeholder engagement platform to create contextual, relevant and justified AI policy