The risk management landscape is transforming as technology evolves to meet the demands of increasingly complex business environments. A new open-source tool from Anthropic, the Model Context Protocol (MCP), could represent the pivotal technology that unlocks the potential of autonomous Integrated Risk Management (IRM) systems. MCP may revolutionize how organizations deploy AI-driven IRM solutions by providing seamless, universal connectivity to diverse datasets. At the heart of this transformation is the emergence of AI agents, which stand to benefit significantly from MCP's capabilities.

Artificial intelligence (AI) is ushering in a new era that promises to redefine the global economy and risk management landscape. Recent projections by IDC estimate that AI will contribute a staggering $19.9 trillion to the global economy by 2030, driving 3.5% of the worldwide GDP. For every dollar invested in AI, an impressive $4.60 is expected in economic returns. Simultaneously, KPMG International's 2024 Future of Risk report reveals that 61% of executives anticipate a significant increase in risk levels over the next three to five years.

In my previous article on Autonomous Integrated Risk Management (IRM), I explored how AI agents are driving IRM into a new era of automation. With industry leaders like ServiceNow and Salesforce making significant strides in the AI agent market, we are witnessing a transformative moment for business technology. These advancements signal a shift in automation capabilities and present a massive opportunity to develop AI agents specifically for autonomous IRM capabilities.