AI Monitoring
AI monitoring involves continuously tracking AI systems in production for performance, accuracy, fairness, and security. It's crucial for detecting model drift, identifying bias, ensuring reliability, and maintaining compliance over time. Ready to keep your AI systems in check? Read our articles on AI monitoring to learn more.
November 20, 2025
AI Guardrails in Action: 4 Use Cases to Manage Risk
Learn how AI guardrails prevent errors, reduce risk, and ensure compliant, reliable automation. Read to understand real use cases and practical safeguards.
November 18, 2025
Beyond the Audit: Operationalizing AI Model Risk Management Across the Enterprise
Stop confining AI MRM to a passive audit. Learn to operationalize AI model risk management across the full lifecycle for trustworthy AI.
November 11, 2025
Why Model Risk Management Needs to Evolve for Agentic AI and LLMs
Model risk is evolving faster than most organizations can respond. Traditional frameworks built for static, structured models no longer apply to dynamic, generative systems like LLMs and agentic AI. To stay compliant and resilient, organizations must rethink model risk management as a living framework, one that adapts, monitors, and learns in real time.
October 16, 2025
Top 7 AI Adoption Challenges Enterprises Face in 2025 (and How to Overcome Them)
Explore AI adoption challenges in enterprises, from governance gaps to model drift, and learn strategies to improve ROI and scale AI successfully.
October 7, 2025
The Competitive Edge of Continuous AI Model Evaluation
Discover how continuous AI model evaluation prevents drift, ensures compliance, and turns responsible AI into a competitive advantage.
September 11, 2025
Features You Need in an AI Governance Platform | A Short Guide
Our guide covers the 7 essential features your AI governance platform must offer, from model risk management to integrations and reporting.
April 25, 2025
Does Your AI Monitoring System Follow These Best Practices?
Is your AI monitoring system keeping up? Discover best practices for avoiding drift, ensuring compliance, and protecting performance. Read the full guide.
March 25, 2025
How to Make Sure Your AI Monitoring Solution Isn’t Holding You Back
Is your AI monitoring slowing you down? Learn to spot inefficiencies, reduce their impact, and boost productivity with Lumenova’s solution. Read more!
September 17, 2024
The Strategic Necessity of Human Oversight in AI Systems
Explore the critical role of human oversight in AI systems. Learn how effective oversight prevents biases & ensures AI aligns with ethical standards.
July 5, 2024
What Might Your AI Risk Management Radar Miss?
Explore hidden AI risks and proactive strategies for comprehensive AI risk management. Stay ahead with insights on safeguarding your AI systems.
April 23, 2024
Risks of Skimping on AI-Specific Risk Management
Did you know that neglecting AI-specific risk management could spell trouble for your organization? Learn why in our latest blog post.
February 26, 2024
How to Get Started with Generative AI Governance
Learn the basics of Generative AI governance and how to implement it effectively. Get started with insights & strategies from Lumenova AI.
April 12, 2023
The Risks & Rewards of Generative AI
Generative AI is reshaping industries, but at what cost? Explore the risks, rewards & key considerations for ethical AI adoption. Read the full insights!
February 22, 2023
Types of Adversarial Attacks and How To Overcome Them
Explore types of adversarial attacks in machine learning, including data poisoning, evasion, and model extraction, plus strategies to defend AI models.