Monitaur

Monitaur

Software Development

Boston, MA 2,632 followers

Good AI Needs Great Governance

About us

Monitaur is an AI governance software platform helping companies build, manage and automate responsible and ethical governance across consequential modeling systems. As companies accelerate their use of big data and AI to transform their business and services, they are increasingly aware of the operational, regulatory, financial and legal risks involved. Monitaur provides customers with a comprehensive and turnkey solution for model risk management and governance that spans policy to proof. Its software establishes a system of record for model governance where cross-functional stakeholders can align and collaborate to build and deploy AI that is fair, robust, transparent, safe and compliant. Founded in 2019 by a team of deep domain experts in the areas of corporate innovation, machine learning, assurance, and software development, Monitaur is committed to improving people’s lives by providing confidence and trust in AI.

Website
https://www.monitaur.ai
Industry
Software Development
Company size
11-50 employees
Headquarters
Boston, MA
Type
Privately Held
Founded
2019
Specialties
machine learning, artificial intelligence, assurance, governance, compliance, audit, transparent AI, responsible AI, ethical AI, ml monitoring, ml ops, model risk management, AI governance, and model audit

Products

Locations

Employees at Monitaur

Updates

  • 🚨 Is your AI model documentation scattered across Google Docs, Slack threads, and Jupyter notebooks? You're not alone. As organizations scale their AI systems, traditional documentation methods are breaking down—leading to knowledge gaps, security concerns, and governance challenges. The latest from the Monitaur blog explores why traditional documentation methods fail, and how purpose-built solutions can: 🔹 Why common documentation methods are failing enterprises 🔹 The hidden costs of fragmented model documentation 🔹 How leading organizations are transforming their documentation approach 🔹 Why systematic documentation creates competitive advantage Learn how to move from scattered files to scalable model governance, and set your AI systems up for sustainable success. Read more: https://hubs.li/Q030wjFW0 #AIDocumentation #AIModelGovernance #MLOps #ArtificialIntelligence #AIModelRisk

  • 🎦 ICYMI, the encore presentation of our AI GRC webinar is a must-watch for any organization navigating their corporate AI strategy. Industry experts Michael Rasmussen of GRC 20/20 Research and Monitaur CEO Anthony Habayeb delivered an insightful discussion on how organizations can effectively manage AI risks while maximizing its transformative potential. In this session, you'll discover practical strategies for: 🔘 How to overcome challenges of manual AI governance processes 🔘 Key capabilities to look for in AI GRC solutions 🔘 Steps to build an effective business case for AI GRC automation 🔘 Practical strategies for establishing sustainable AI governance Whether you're struggling with committees and manual oversight, or want to enhance your AI governance, this webinar provides actionable insights for streamlining your GRC processes. Watch the replay now to learn how to confidently deploy AI while ensuring compliance and ethical use. Link in the comments 👇 #AIGovernance #GRC #RiskManagement #BusinessInnovation #Leadership

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  • 🎯 "Documentation is part of model building. Until you sit down and write down what the model will do, what you put into it, and its limitations - by yourself and by hand - you'll never truly understand how your model works." Ready for some hard truths about AI model documentation? The latest podcast episode from The AI Fundamentalists tackles why documentation isn't just paperwork - it's the key to truly understanding your models. Hear why rushing past documentation can actually delay your path to production-ready AI. Learn how proper documentation practices can accelerate your development cycle and help build more reliable models. Ready to level up your AI development process? Listen to the full episode: https://hubs.li/Q02ZsXpV0 #AIGovernance #ResponsibleAI #ModelDevelopment #MLOps

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  • Advance your career while mastering AI governance! This upcoming webinar with OCEG and Monitaur offers 1 CPE credit (NASBA-accredited) for eligible participants. Webinar: Understanding AI Governance, Risk Management, & Compliance (AI GRC) Solutions: Part of the OCEG GRC Technology Series with hosts Anthony Habayeb, CEO of Monitaur and Michael Rasmussen, Analyst & Pundit of GRC 20/20 Research 📅 Date: December 5th 🕒 Time: 11 AM EST Webinar highlights: 🔘 Discuss the challenges posed by the lack of AI governance and reliance on manual processes or insufficient technology. 🔘 Outline the processes that establish and maintain effective AI governance, risk management, and compliance. 🔘 Define the critical capabilities an AI GRC solution must have, and how to evaluate them. 🔘 Describe how to build a business case for transitioning to AI GRC solutions. Learn essential AI GRC strategies from industry experts and earn continuing education credit. Register here: https://hubs.li/Q02YrYFR0 #CPE #GRCTraining"

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  • 💡 What does truly responsible AI development look like in practice? In the latest episode of the #TheAIFundamentalists podcast, the hosts talk about OpenAI system cards - documents that explain how multiple AI models and technologies work together to do specific tasks. The GPT-4 system card showcases transparency through voluntary red teaming (where teams actively tried to make the model produce bad outputs) and external ethical review - going far beyond regulatory requirements. Explore how this level of transparency and proactive testing is setting new standards in AI documentation and governance. Learn why these practices matter and how they might shape the future of AI development. Listen to the full discussion here: https://hubs.li/Q02ZsZb40 #AIEthics #ModelGovernance #ResponsibleAI #AIGovernance

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  • What makes an effective AI GRC solution? Join pundit & analyst Michael Rasmussen of GRC 20/20 Research and Monitaur CEO Anthony Habayeb for a webinar on Dec 5 to discover: ⚪ Key capabilities your AI governance needs ⚪ How to evaluate different solutions ⚪ Real-time monitoring best practices ⚪ Compliance automation strategies Don't miss out! Register now: https://hubs.li/Q02ZsZ7n0 #AIGRC #AIGovernance #AIModelRisk

    Understanding AI Governance, Risk Management, & Compliance (AI GRC) Solutions: Part of the OCEG GRC Technology Series - OCEG

    Understanding AI Governance, Risk Management, & Compliance (AI GRC) Solutions: Part of the OCEG GRC Technology Series - OCEG

    oceg.org

  • Are we using #AI to detect anomalies, or are we detecting anomalies in AI itself? Tune in to this thought-provoking discussion on the evolving landscape of anomaly detection in this episode of The AI Fundamentalists podcast. Discover: 🔘 Effective anomaly detection approaches 🔘 Challenges in AI implementation 🔘 Best practices for building resilient models that withstand anomalies From enhancing cybersecurity to ensuring ethical AI deployment, discover the critical role of anomaly detection in shaping the future of intelligent systems. Tune in here: https://hubs.li/Q02Ys4GY0 #AIEthics #ModelGovernance #AIGovernance

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  • Great summary and thanks for your insights! We're glad the information was helpful.

    View profile for Brian Maranga, graphic

    Information Technology Specialist @ Kaplan & Stratton Advocates | CCNA, MCSA, ITIL

    Just wrapped up reading "The Essential Guide to #AI #Governance" by OCEG , co-authored by Carole Switzer and Lee Dilmar, with sponsorship from Monitaur . This resource is a game-changer for understanding how to harness #AI's potential while maintaining robust governance, risk management, and compliance (GRC) practices. #Key insights I found particularly valuable: 1. Strategic Alignment and Oversight: The guide emphasizes that AI governance begins with aligning AI initiatives with organizational strategies. Leaders need to identify all units employing AI, the purpose of their use, and integrate these into a cohesive, monitored strategic roadmap. This ensures that AI doesn’t operate in silos but as a well-integrated driver of business objectives. 2. Comprehensive Risk Management: AI's rapid advancement brings unique risks—from operational disruptions to ethical breaches and reputational damage. The guide lays out a rigorous risk management protocol that includes regular audits, stress tests, and interdisciplinary reviews to proactively identify and mitigate potential risks, ensuring that AI remains a tool for progress, not liability. 3. Ethical and Transparent Development: AI must be explainable and accountable. The guide advocates for creating transparent models, ensuring decisions made by AI can be understood by stakeholders. It highlights the importance of ethical principles like fairness and bias mitigation to avoid perpetuating inequalities—a must for building public and regulatory trust. 4. Data Security and Model Assurance: Protecting the quality and integrity of data is foundational. This resource details best practices for robust data governance and continuous model assurance, including real-time performance monitoring and explainability metrics. These are crucial to maintain the trustworthiness and reliability of AI systems. 5. Training and Workforce Education: The guide stresses that successful AI integration is as much about people as it is about technology. Investing in AI literacy across the organization and continuous training programs ensures teams are well-equipped to interact with AI responsibly, fostering a culture that values ongoing learning and ethical use. 6. Compliance and Regulatory Adaptation: With laws like the EU AI Act setting new precedents, the guide outlines how organizations must stay agile to meet compliance. This includes embedding compliance checks throughout the AI lifecycle, preparing for audits, and maintaining thorough documentation. Have a read if you are a C-suite executive, risk management leader, IT strategists, and policymaker striving for responsible AI adoption. Credit to Carole Switzer ,@Lee Dilmar , and the OCEG team for this essential, forward-thinking contribution to the AI community.

  • View organization page for Monitaur, graphic

    2,632 followers

    Is your organization struggling to manage AI risks effectively? Manual processes and fragmented tools won't cut it anymore. Join analyst Michael Rasmussen of GRC 20/20 Research and Anthony Habayeb, CEO of Monitaur for a webinar to learn how AI GRC solutions can transform your approach to AI governance. Discover how to automate oversight, streamline compliance, and build a bulletproof business case for change. Presented by OCEG. 📅 Date: December 5th 🕒 Time: 11 AM EST 🔗 Register Here: https://hubs.li/Q02YrWpW0 #AIGovernance #AIGRC #AIModelRisk

    Understanding AI Governance, Risk Management, & Compliance (AI GRC) Solutions: Part of the OCEG GRC Technology Series - OCEG

    Understanding AI Governance, Risk Management, & Compliance (AI GRC) Solutions: Part of the OCEG GRC Technology Series - OCEG

    oceg.org

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