"Unlike traditional one-way AI systems, agents establish two-way information flows where sensitive data like credit card numbers or personal information might be processed across multiple steps with inadequate protection."
Dr. Andrew Clark, Monitaur
August 2025 | What's new this month
Upcoming Webinar: The Current State of Agentic AI and Governance
The landscape of artificial intelligence is evolving at a rapid pace, with "Agentic AI" piquing the curiosity of technologists and business leaders alike. Unlike traditional AI that reacts to prompts, agentic systems are being marketed for their abilities to perceive, reason, plan, and autonomously execute complex tasks to achieve specific goals with minimal human oversight.
To succeed, you must be versed in the hype vs reality of agentic AI. By attending this webinar, you will gain a clear understanding of its core concepts and practical implications for what these systems can and cannot do:
What is agentic AI?
Strengths, assumptions, and limitations about agentic AI systems
Technical and business risks
Best practices for getting started today
Join us at 12:00 pm EDT/9:00 am PDT on Wednesday, September 3rd to gain a comprehensive understanding of agentic AI's current capabilities, navigate the complexities, and identify how your organization can govern them effectively.
AI Maturity Matters: Mastering AI Governance and TRiSM Technology Drives Success
Organizations with mature AI governance practices achieve 45% prototype-to-production rates compared to just 31% for low-maturity organizations. With only 14% of AI-adopting organizations reaching high governance maturity, there's a massive competitive advantage waiting for those who get it right.
Review the report from Gartner online for more information on these four pillars, the critical success factors driving AI governance maturity, and the opportunities stemming from the maturation of AI governance practices.
Monitaur has also been named as a sample vendor in 14 Gartner Hype Cycle™ reports for 2025! Schedule time with the Monitaur team and we'll show you how Monitaur is leading the way in AI governance.
AI Governance & Assurance | Ethics & Responsibility
With generative artificial intelligence (AI) technologies entering nearly every aspect of human life, it has become ever more urgent for organizations to develop AI systems that are trustworthy and subject to good governance. To that end, various international organizations and technical bodies have established standards for responsible AI development and deployment. Broadly speaking, these standards seek to mitigate potential AI-related risks while ensuring that intended benefits are widely distributed. Many of these standards are necessarily abstract due to their broad applicability, and their overlapping nature makes it difficult to differentiate them or determine their specific uses.
As more companies use artificial intelligence (AI) in their technical operations, it becomes increasingly important to guarantee that AI systems adhere to ethical standards and regulatory restrictions. AI data governance addresses the inherent complexities of AI models by focusing on data transparency, ethical decision-making processes, and mitigating bias.
Industry Regulation & Legislation
Insurers Face New Rules as AI Enters the Claims Process The growing use of artificial intelligence in insurance operations, particularly in underwriting, claims handling, fraud detection and customer engagement, has prompted growing regulatory attention. At the national level, the most significant policy development is the release of the National Association of Insurance Commissioners’ (NAIC) Model Bulletin on the Use of Artificial Intelligence Systems by Insurers (model bulletin), finalized in late 2023.
With 4.5 billion people currently without access to essential healthcare services and a health worker shortage of 11 million expected by 2030, AI has the potential to help bridge that gap and revolutionize global healthcare. It could even get us back on track to meet the United Nations' Sustainable Development Goal of achieving universal health coverage by 2030. But while the technology is rapidly developing, healthcare is "below average" in its adoption of AI compared to other industries, according to the World Economic Forum's white paper, The Future of AI-Enabled Health: Leading the Way.
Artificial general intelligence (AGI) has been the buzzword until recently, indicating that artificial intelligence (AI) is on its way to achieving human intelligence on all dimensions. While the actual definition of AGI remains debated, attention is already shifting to artificial superintelligence (ASI), which could far exceed human capabilities. Regardless of future scenarios, today’s breakthroughs, particularly in generative and agentic AI, are reshaping the economy, society and multiple industries at unprecedented speed. Navigating this transformation requires strategic foresight and a human-centric approach.
