Product Listings
Microsoft Purview is a software that provides data governance, risk, and compliance solutions for organizations. The software enables businesses to discover, classify, and manage data across various locations including on-premises, multi-cloud, and software as a service environments. It supports the identification and cataloging of sensitive information, helping organizations establish data policies and ensure regulatory compliance. Microsoft Purview offers features such as automated data discovery, data mapping, and policy management, which help address challenges related to data visibility, protection, and lifecycle management. The software facilitates secure data sharing and access control while supporting audit and reporting functions to meet compliance requirements.
OneTrust Data & AI Governance is a software designed to help organizations manage data and artificial intelligence initiatives by establishing governance frameworks across data assets. The software enables teams to inventory, classify, and control data usage, facilitating compliance with regulatory requirements and internal policies. It offers automated workflows for assessing data risks, supporting visibility into data lineage, and monitoring data activities. The software provides tools for orchestrating AI model documentation and review processes, fostering responsible AI deployment. By centralizing governance practices, the software helps mitigate risks, uphold data protection standards, and enhance transparency throughout data and AI lifecycles, supporting organizations in addressing regulatory and operational requirements related to data and AI management.
IBM watsonx.governance is an enterprise‑grade AI governance solution designed to manage risk and ensure compliance across the full AI lifecycle. It enables organizations to monitor, govern, and manage any AI system—whether models, applications, or agents—across IBM technologies as well as third‑party platforms such as OpenAI, AWS, and Meta. The solution proactively detects and mitigates AI risks, evaluates AI assets, and secures AI deployments through Guardium AI security. It also supports safe and transparent AI adoption with a robust regulatory library, automation capabilities, and alignment to industry standards.
LogicGate Risk Cloud is a no-code governance, risk, and compliance (GRC) platform that scales and adapts to your changing business needs and regulatory requirements. It provides solutions for every GRC use case from one integrated platform to help you build, evolve, and communicate a market-leading risk strategy and program.
MineOS is a software designed to help organizations manage and optimize their data privacy processes. It provides tools for identifying, mapping, and monitoring personal data across various systems, enabling compliance with data protection regulations. The software facilitates automated privacy impact assessments, data subject request management, and continuous monitoring of data flows. It offers integrations with multiple platforms to streamline data discovery and labeling. MineOS addresses business challenges related to data privacy oversight, regulatory compliance, and reducing risks associated with data handling by providing centralized visibility and control over personal information assets.
ModelOp is an AI lifecycle management and governance platform built for enterprises. ModelOp manages traditional machine learning models, generative AI, agentic AI, and third party AI solutions across their full lifecycle, enabling AI delivery at industrial-scale. The platform integrates with AI tools and solutions, enterprise systems, and infrastructure through out-of-the-box connectors and REST APIs. ModelOp provides a centralized AI inventory that acts as an auditable system of record, supporting visibility into AI usage, value, risk management, risk tiering, and compliance activities. Capabilities include standardized use case intake, workflow automation for reviews and approvals, policy enforcement, and generation of documentation such as model cards and audit reports. Monitoring and reporting features enable periodic risk assessments, performance tracking, and ongoing oversight from intake through deployment, operation, and retirement.
Relyance AI is a software that provides automated data privacy and compliance management for organizations. The software uses machine learning and natural language processing to discover, classify, and monitor personal and sensitive data across various cloud and on-premises environments. Relyance AI enables organizations to map data flows, automate privacy operations, and generate compliance documentation for regulations such as GDPR and CCPA. The software offers features for risk assessment, policy management, and workflow automation to help address data protection and governance challenges. By supporting integration with common business applications and data storage platforms, Relyance AI streamlines the process of maintaining compliance and managing data subject rights requests.
SolasAI is a software designed to assist organizations in ensuring fairness and compliance in algorithmic decision-making. The software provides tools for bias detection, mitigation, and analysis within predictive models used in various industries. It enables businesses to assess and address risks of discrimination in models related to lending, insurance, employment, and other domains. SolasAI offers explainability functions to help users understand model outcomes and supports adherence to regulatory standards in automated decision processes. The software aims to solve challenges related to identifying, measuring, and remediating bias in machine learning and statistical models to support fair and equitable automated decisions.
TrustWorks Platform includes a Risk Management feature that helps organizations identify, assess, and mitigate privacy and AI-related risks with clarity and control. The platform provides structured guidance on risk types, severity, ownership, and recommended mitigation steps to support confident, informed decision-making.
With centralized tracking, teams gain visibility into current risks and their status across the organization. Pre-built templates simplify the creation and classification of common risks, helping maintain consistency and accelerate onboarding.
TrustWorks also offers AI-assisted mitigation suggestions, enabling faster response based on risk type and context. Mitigation measures can be assigned to specific owners or teams, tracked as actionable tasks, and monitored to completion, supporting cross-functional collaboration and efficient resolution.
Aiceberg is a software designed to assist organizations in building and managing artificial intelligence workflows. The software provides features for configuring, deploying, and monitoring AI models, and aims to streamline data science processes from development to production. Aiceberg offers tools for version control, collaboration, and experiment tracking, which help address business problems related to operationalizing machine learning and ensuring reproducibility in data analysis. The software is structured to integrate with existing technology stacks and supports scalability for varying data and performance requirements.
Airia is an enterprise AI security, orchestration, and governance platform designed to support the deployment and operation of AI systems across organizations. The platform provides controls for managing AI agents, models, applications, and data sources within centralized workflows.
Airia helps organizations address security, governance, and operational challenges associated with agentic and model-driven AI environments, including policy enforcement, access management, monitoring, and risk reduction. It is intended for use in regulated and complex enterprise settings where oversight, auditability, and control are required.
By integrating orchestration and governance capabilities, Airia supports organizations in operationalizing AI while maintaining consistency, visibility, and compliance across AI use cases.
Asenion AI Management System is a software designed to facilitate the development, deployment, monitoring, and governance of artificial intelligence models in business environments. The software enables organizations to automate AI lifecycle processes, manage data integration, and ensure compliance with internal and external policies. It provides tools for version control, access management, and transparency in model operations, supporting traceability and audit requirements. The software addresses challenges related to scaling AI across various teams and projects by offering centralized model management, collaboration features, and integration capabilities with existing IT infrastructure. It is intended to help organizations optimize the administration and reliability of AI initiatives while maintaining operational oversight.
Bigeye is the data observability platform for large enterprises. Bigeye Data Observability strengthens data reliability by empowering data teams to quickly monitor, identify and resolve incidents across their entire enterprise data stack, including modern, legacy and hybrid environments. Our data observability platform is powered by cross-source column-level lineage that enables the automation of core observability workflows, helping data teams to quickly identify data incident impact and find root cause. Leading data driven enterprises use Bigeye to improve data trust and ensure the data powering their business stays reliable by default.
Collibra frees your data from the constraints of silos by unifying data and AI governance across your entire ecosystem, regardless of source or compute engine, for ultimate flexibility in how you manage data. Our Collibra Platform gives you automated visibility, control and tracing from input through output, and it automates documentation and data traceability for AI use cases to power speed, data observability and safety. Our enterprise metadata graph enriches data context with every use, and our intuitive UX brings technical and business users into the fold to access and steward data.
Accelerate and strengthen every data and AI use case when everyone in your organization can trust, comply and consume.
Coralogix is a software that focuses on centralized log management and analytics for organizations needing to manage large volumes of log data across their cloud environments. The software enables users to ingest, parse, and analyze logs, metrics, and traces in real time, converting raw data into actionable insights. Coralogix automates the detection of anomalies, monitors application performance, and streamlines compliance reporting. The software provides features such as alerting, visualization, and querying through dashboards, supporting observability and troubleshooting efforts for DevOps, security, and engineering teams. Coralogix helps address challenges related to operational visibility, incident response, and system health monitoring within distributed infrastructure and applications.
Cranium is software designed to support organizations in securing and managing their artificial intelligence and machine learning environments. The software offers features for monitoring, vulnerability management, and compliance focused on AI workflows and related infrastructure. Cranium provides capabilities to identify and assess risks associated with AI models, ensure adherence to governance frameworks, and streamline reporting for regulatory and security requirements. The software addresses the business problem of managing visibility and reducing risks in increasingly complex AI-driven operations by delivering centralized oversight and controls tailored to AI systems.
Credo AI Governance Platform is a software that provides organizations with tools to manage, monitor, and document the use of artificial intelligence systems across the enterprise. The software enables governance teams to assess AI models for compliance with internal policies and external regulations, facilitating the identification of potential risks and ethical concerns. It supports the creation of standardized workflows for model evaluation, risk assessment, and reporting, aiding teams in aligning AI systems with business objectives and regulatory requirements. The platform helps streamline coordination between technical and non-technical stakeholders by offering features for model inventory management, impact assessment, and audit-ready reporting. The software aims to address challenges related to transparency, accountability, and responsible AI deployment within complex organizational environments.
Dataiku is a single, end-to-end platform for building and managing analytics, models, and agents across your organization. It provides no-, low-, and full-code interfaces so data scientists, analysts, and business users can all build AI using their existing skills. Dataiku works with any cloud provider, data platform, and GenAI service, ensuring infrastructure freedom and avoiding vendor lock-in. Built-in governance and monitoring give you the visibility and control to confidently deploy AI at scale.
DataRobot is agentic AI for the workforce. Our agentic platform enables frontline/business teams to develop, deliver, and govern AI agents and applications that work intelligently and securely with core business processes, infrastructure, and systems — maximizing impact and minimizing risk for organizations across industries.
Deeploy is a software designed to facilitate responsible deployment and monitoring of machine learning models within organizations. This software provides a platform for managing, monitoring, and explaining AI models in production environments. It supports seamless integration with existing data science workflows, enabling version control, automated deployment, and detailed tracking of model performance. Deeploy includes features for monitoring model predictions, detecting data drift, and ensuring compliance with internal and external regulations. The software addresses challenges in operationalizing machine learning solutions by enabling transparency, traceability, and auditability of models, allowing organizations to maintain control and oversight throughout the model lifecycle.