Monitaur

As organizations rush to adopt foundation models and generative AI, many leaders are asking: "How do we do this right?" Through our work with enterprises, we've identified clear success patterns: AI implementations thrive when they begin with well-defined business outcomes, establish scalable governance early, and plan for evolving use cases. They struggle when they treat foundation models as plug-and-play solutions, underestimate enterprise-grade data protection needs, and fail to prepare for the shift from general to specialized applications. How then, do you set your organization up for success? Our latest article shares 5 key recommendations for purchasing and onboarding foundation models, with a focus on practical governance to protect your organization. Our 5 key recommendations: 1. Start with fundamental security verification - ensure your vendor meets industry security standards through SOC 2 Type 2 certification and offers enterprise-grade security features like SSO. 2. Protect your organization's data by securing explicit contractual terms about data usage rights and considering single-tenant environments to maintain data privacy. 3. Evaluate how the vendor governs their AI development and deployment by checking their alignment with established frameworks like NIST AI RMF and NAIC standards. 4. Request and thoroughly review the vendor's validation documents and results - if they can't provide adequate documentation, consider it a red flag. 5. Don't just take the vendor's word for it - conduct your own testing to ensure the model performs effectively for your organization's specific needs and use cases. Read the full article to get our detailed guidance on bringing foundation models into your organization responsibly and effectively, plus insights on: ⚪ How low-risk implementations can evolve into high-risk scenarios ⚪ The paradigm shift from "buying" to "building" AI ⚪ Why traditional modeling best practices still matter ⚪ What makes foundation models fundamentally different from traditional ML Read the full article here: https://hubs.li/Q030wkpG0

Good AI thrives on great governance. Insurers with a vision for their growth and reputation proved it in 2024. Who's ready for 2025? Thanks to Scout InsurTech for this thoughtful discussion about AI and what the future holds for cutting-edge solutions in the insurance industry.

📊 Infographic: OCEG's GRC Technology Illustrated Series on AI Risk Management solutions. AI offers immense potential for streamlining business processes. Learn how AI GRC solutions can help your organization know where to automate governance and compliance while maintaining ethical standards across your AI systems. Check out the full infographic to understand how these solutions can help you achieve your AI objectives while managing uncertainty and risk. #AIGRC #RiskManagement #Innovation #Compliance

🎬 2024: A year of operationalizing AI governance at Monitaur From securing $6M in Series A funding to launching groundbreaking initiatives in AI governance, 2024 has been an incredible journey. Watch our year-in-review to see how we're making responsible AI accessible to organizations worldwide.⬇️ Thank you to our customers, partners, and team members who made this year possible. Here's to continuing to shape the future of responsible AI in 2025! #AIGovernance #ResponsibleAI

Concerned about the provenance and quality of data in your AI systems? This podcast from The AI Fundamentalists with Matt Barlin, talks about how data lineage can make AI systems more open and accountable. It can also improve how teams evaluate and manage AI projects. Equip yourself with the knowledge to tackle emerging AI challenges head-on! https://hubs.li/Q030whtk0 #AImodelrisk #AIgovernance #datalineage

🚨 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

🎯 "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

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"

💡 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